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Module Handbook
M.Sc. Biomedical Engineering
Medical Faculty Mannheim
Heidelberg University
General Information
Latest revision: December 2015
Module description for full time study.
Regular study duration: 2 years
1 ECTS1 is equivalent to 30 study hours.
Module catalogue
1. Qualification objectives at Heidelberg University
2. General requirements of the study
3. Aims of the MSc. programme in Biomedical Engineering
4. Specializations included in the programme
5. Curriculum
6. Overview of the courses
7. Courses in detail
1. Qualification objectives at Heidelberg University
In accordance with its mission statement and constitution, Heidelberg University’s degree courses have subject-related, transdisciplinary and occupational objectives. They aim to provide a comprehensive academic education equipping graduates for the world of work. The main points of the competence profile are the following: • developing subject-related skills with a pronounced research orientation • developing the ability to engage in transdisciplinary dialogue • developing practice-related problem-solving skills • developing personal and social skills • promoting the willingness to assume social responsibility on the basis of the skills
acquired
1 European Credit Transfer System
2. General requirements of the study
Students Profile
The Master programme in Biomedical Engineering (MSc: Master of Science) is an
interdisciplinary course open for candidates with undergraduate or higher education in:
Physics (BSc2 or higher)
Engineering (with basic knowledge in physics)
Mathematics
This programme focuses on biomedical research and has a strong bias towards
computational science. This reflects the ever-increasing demand for IT competence in this
field, in conjunction with knowledge of biomedical devices and their usage. Graduates from
this program are well-prepared for positions in hospitals, academia and industry.
Courses Locations
The master courses are located mostly at Mannheim Medical Campus. However some
courses are located at Heidelberg University Campus in Heidelberg and the Institute of
Molecular Biology in Mainz.
Course Material
The learning material of all courses is accessible at the learning platform Moodle of the
Medical Faculty Mannheim. The access to the platform is enabled for the students enrolled in
the MSc. programme. Over this platform all administrative documents for students are
managed as well, including the lecture schedule, the rules and regulations, the course
selection and registration, the grades reports, etc.
moodle.medma.uni-heidelberg.de
2 Bachelor of Science
Master Thesis
The Master in Biomedical Engineering programme is nationally and internationally connected
to leading institutions in research and education for radiotherapy and medical imaging.
The master thesis can be done in any of the internal research groups in the University
Medical Center Mannheim or by any of the cooperation partners in a topic related with
biomedical engineering. The option to perform the master thesis in other external institution
is possible provided that all the requirements stipulated by the Academic Committee are
fulfilled. More information about this topic is found in the guideline available in Moodle.
3. Aims of the MSc. Programme in Biomedical Engineering
The program aims at enabling students to work and/or carry out independent research in the
field of biomedical engineering, notably those aspects related to computer science and
medical physics.
After completing this course, students will have
acquired basic knowledge of anatomy, physiology, genetics
acquired basic knowledge of biophysics and engineering mathematics (numerically
oriented), including programming
found out how to use computational concepts in life sciences related to image
analysis, scientific visualization, inverse problems and simulation systems
acquired detailed knowledge of radiotherapy, nuclear medicine, medical imaging
performed a scientific (life-science related) project
successfully tackled technical issues related to Biomedical Engineering
acquired expert competence in the critical assessment of technical systems in
medicine
Graduates career prospects are best in health-care/life-science sectors, research
organizations and the medical technology industry (producers of biomedical
instruments/imaging systems, health-care-oriented software companies, the pharmaceutical
industry, etc.).
Joint Degree with Shanghai Jiao Tong University, China
The MSc. in Biomedical Engineering offers to students the possibility of a double degree
through the exchange program with Shanghai Jiao Tong University in China. The contents of
the programme cover all aspects of the innovative field of computational bio-photonics, i.e. all
aspects of the diagnostic and therapeutic use of photons in medicine supported by advanced
computing.
The students, who decided to participate in the joint degree, should stay in Mannheim during
the first year of studies. The second year gives two options:
Option 1 is to carry out the 3rd and 4th semester (elective taught modules or Master
thesis, respectively) in Shanghai.
Option 2 is to only perform the 3rd semester (elective taught modules) in Shanghai
and complete the Master Thesis in Mannheim/Heidelberg.
To receive a joint degree diploma, students have to be at least half a year in any of both
institutions.
4. Specializations included in the program
1. Radiotherapy
The specialization in Radiotherapy is focused on basic and advanced knowledge
related to planning and treatment methods (3D, IMRT, VMAT, IORT, IGRT) of cancer
in radiation therapy, to radiotherapy equipment (linear accelerators, computed
tomography, intraoperative system), to give basic insight for clinical tasks as well as
for advanced research work.
2. Imaging
Imaging specialization is focused on oncological radiotherapy treatment planning and
monitoring by using physiological and functional imaging of CT, MRI and PET. The
courses are oriented to provide the student with the fundamental knowledge in
processing, analysis and quantification of medical images. Special attention is laid on
the interdisciplinary approach to radiotherapeutic cancer treatment.
3. Computational Medical Physics
Computational medical physics is focused on the fields of mathematics, computer
engineering, computer science, and physics. The aim of the advanced modules in
this specialization is the knowledge in modern computational physics with application
in life sciences. The courses are focused on inverse problems for image
reconstruction, restoration, analysis, simulation, modeling and instrumentation.
4 Curriculum
General Timetable:
1
st Semester 2
nd Semester 3
rd Semester 4
th Semester
Taught Courses/ Workshops:
- Basic courses
- Mandatory courses
- Elective courses
- Workshops (min. 30 ECT)
Taught Courses/ Labs/ Seminars:
- Lab rotations
- Seminars
- Lectures + Exercises
(min. 30 ECT)
Taught Courses/ Labs/ Seminars:
- Specialized Lab Project
- General Science Skills
- Elective Courses
- Workshops (min. 30 ECT)
Master Thesis
(30 ECT)
Specializations:
- Radiotherapy
- Imaging
- Computational Medical Physics
Specializations:
- Radiotherapy
- Imaging
- Computational Medical
Physics
Specializations:
- Radiotherapy
- Imaging
- Computational
Medical Physics
Specializations:
- Neurosciences
- Imaging/
Biomedical Optics
- Computer
Engineering
Specializations:
- Radiotherapy
- Imaging
- Computational
Medical Physics
Specializations:
- Neurosciences
- Imaging/
Biomedical Optics
- Computer
Engineering
Venue:
Heidelberg University, Germany
Venue:
Heidelberg University, Germany
Venue:
Heidelberg
University, Germany
Venue:
Shanghai Jiao Tong
University, Shanghai,
China
Venue:
Heidelberg
University, Germany
Venue:
Shanghai Jiao Tong
University, Shanghai,
China
Courses Overview:
Radiotherapy Imaging Computational Medical Physics
1st Semester Winter Term (Mannheim/ Heidelberg)
Basic course (7.5 ECTS) Module 1
1.1 Biophysics (1.0) 1.2 Engineering Mathematics (3.5) 1.3 Genetics (1.0) 1.4 Basic Medical Science (2.0)
Advanced courses (4.0 ECTS) Module 2
2.1 Radiation Protection (1) 2.2 Radiation Physics and Instrumentation (3)
Module 3
Mandatory courses (13.5 ECTS) Mandatory courses (9.5 ECTS) Mandatory courses (6.5 ECTS)
3.1 Physics of Imaging Systems (2.0) 3.2 Radiotherapy Treatment Planning Dosimetry/Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.10 Basic Optics (2.0)
3.1 Physics of Imaging Systems (2.0) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.10 Basic Optics (2.0) 3.14 Biomedical Engineering (2.0)
3.1 Physics of Imaging Systems (2.0) 3.6 Image Analysis (4.5) 3.10 Basic Optics (2.0)
Module 4
Elective courses (4.5 ECTS)* Elective courses (5.0 ECTS)* Elective courses (6.0 ECTS)*
3.6 Image Analysis (4.5) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0)
3.14 Biomedical Engineering (2.0)
3.1a Medical Devices and Imaging Systems (4.0) 3.1b MRT Basics (2.0) 3.1c X-Ray Diagnostics and Sonography (2.0) 3.2 Radiotherapy Treatment Planning Dosimetry/ Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.6 Image Analysis (4.5) 3.9 Biomedical Optics (1.0) 3.29 Seminar MR Methods and Technology (2.0)
3.2 Radiotherapy Treatment Planning Dosimetry/Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0) 3.10 Basic Optics (2.0) 3.13 Novel Diagnostic Methods in Ophthalmology (1.0) 3.14 Biomedical Engineering (2.0)
Module 5
Workshops (4.0 ECTS)* Workshops (5.0 ECTS)* Workshops (6.0 ECTS)*
4.1 Basic Cellular Biology/Radiobiology (1.0) 4.10 Eye Clinics (1.0) 4.2 MR-Radiology (1)4.9Adaptive Optics Lab (1.0) 4.11 Nanoscopy Lab (2.0) 4.3 Radiation Protection and Quality Assurance (1.0) 4.12 Matlab Programming Exercise (4.0)
4.4 Diagnostic Radiology/Image Management (1.0) 4.13 C++ Introductory Course (4.0) 7.0 Shanghai Workshop (1.0)
*number of ECTS are maximum allowed values. All courses which are in each respective specialization not listed as mandatory courses can be chosen as elective courses.
Radiotherapy Imaging Computational Medical Physics
2sd
Semester Summer Term (Mannheim/ Heidelberg)
Module 6
Mandatory courses (24.0 ECTS) Mandatory courses (24.0 ECTS) Mandatory courses (28.0 ECTS)
3.20 Radiation Therapy Lab: Quality Assurance & Treatment Planning (8.0) 3.21 Imaging Lab: MR Technology (8.0) 3.22 Nuclear Medicine Lab: PET Experiments & Data Analysis (8.0)
3.16 Scientific Programming in Physics and Engineering + Exercises (4.0) 3.18 Volume Visualization + Exercises (8.0) 3.19 Inverse Problems + Exercises (8.0) 3.24 Computational Medical Physics Lab (8.0)
Module7
Elective courses (6.0-8.0 ECTS)* Elective courses (6.0-8.0 ECTS)* Elective courses (8.0 ECTS)*
3.1a Medical Devices and Imaging Systems (4.0) 3.1b MRT Basics (2.0) 3.1c X-Ray Diagnostics and Sonography (2.0)
3.15 Computational Medical Physics and Bioinformatics (1.0) 3.17 Simulators in Games and Medicine + Exercises (8.0) 3.20 Radiation Therapy Lab: QA & Treatment Planning (8.0) 3.21 Imaging Lab: MR Technology (8.0) 3.22 Nuclear Medicine Lab: PET Experiments & Data Analysis (8.0) 3.25 Radiobiology Lab: Cell Biology & Modelling (8.0) 3.26 Seminar Radiation Therapy (2.0) 3.27 Seminar Nuclear Medicine (2.0) 3.28 Seminar Radiobiology (2.0) 3.29 Seminar MR Methods and Technology (2.0) 3.31 Seminar Computational Medical Physics (2.0)
3.15 Computational Medical Physics and Bioinformatics (1.0) 3.16 Scientific Programming in Physics and Engineering + Exercises (4.0) 3.17 Simulators in Games and Medicine + Exercises (8.0) 3.18 Scientific Visualization + Exercises (8.0) 3.19 Inverse Problems + Exercises (8.0) 3.24 Computational Medical Physics Lab (8.0) 3.25 Radiobiology Lab: Cell Biology & Modelling (8.0) 3.26 Seminar Radiation Therapy (2.0) 3.27 Seminar Nuclear Medicine (2.0) 3.28 Seminar Radiobiology (2.0) 3.29 Seminar MR Methods and Technology (2.0) 3.31 Seminar Computational Medical Physics (2.0)
*number of ECTS are minimum/maximum allowed values.
All courses which are in each respective specialization not listed as mandatory courses can be chosen as elective courses.
Radiotherapy Imaging Computational Medical Physics
3rd Semester Winter Term
(Mannheim/ Heidelberg)
Mandatory courses (19.0 ECTS) Module 8
6.6 General Science Skills (3.0) 8.1 Specialized Lab Project (16.0)
Module 3/4
Elective courses (6.0 ECTS)* Elective courses (6.0 ECTS)* Elective courses (6.0 ECTS)
3.6 Image Analysis (4.5) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0)
3.14 Biomedical Engineering (2.0)
3.1a Medical Devices and Imaging Systems (4.0) 3.1b MRT Basics (2.0) 3.1c X-Ray Diagnostics and Sonography (2.0) 3.2 Radiotherapy Treatment Planning Dosimetry/ Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.6 Image Analysis (4.5) 3.9 Biomedical Optics (1.0) 3.13 Novel Diagnostic Methods in Opthalmology (1.0) 3.29 Seminar MR Methods and Technology (2.0)
3.2 Radiotherapy Treatment Planning Dosimetry/ Quality Assurance (4.5) 3.3 Special Radiotherapy Techniques (3.0) 3.4 Image Guided Radiotherapy (1.0) 3.5 Radiobiology (1.0) 3.7 Diagnostic Radiology (1.5) 3.8 Nuclear Medicine (2.0) 3.9 Biomedical Optics (1.0) 3.13 Novel Diagnostic Methods in Opthalmology (1.0) 3.14 Biomedical Engineering (2.0)
Module 5
Workshops (5.0 ECTS)* Workshops (5.0 ECTS)* Workshops (5.0 ECTS)*
4.1 Basic Cellular Biology/Radiobiology (1.0) 4.2 MR-Radiology (1.0) 4.3 Radiation Protection and Quality Assurance (1.0) 4.4 Diagnostic Radiology/Image Management (1.0) 4.10 Eye Clinics (1.0) 4.11 Nanoscopy Lab (2.0) 4.12 Matlab Programming Exercise: Preparation for Master Thesis (4.0) 4.13 C++ Introductory Course (4.0) 7.0 Shanghai Workshop (1.0)
*number of ECTS are minimum/maximum allowed values.
All courses which are in each respective specialization not listed as mandatory courses can be chosen as elective courses.
Neurosciences Imaging/ Biomedical Optics Computer Engineering
3rd
Semester (Shanghai)
Elective courses (max. 30 ECTS) Elective courses (max. 30 ECTS) Elective courses (max. 30 ECTS)
Nanotechnology (3.0)
BioMEMS (3.0)
Biomaterials (3.0)
Neurobiology (3.0)
Structure & Function of Biomacromolecules (4.5)
Theoretical Neurosciences (4.5)
Experiments of modern lab animal science (1.5)
Bioheat & Mass Transfer (4.5)
Neuroinformatics (3.0)
Physical therapy technology (4.5)
Biomedical ultrasound (4.5)
Medical imaging (3.75)
New Technology in Medical Imaging (3.0)
Biomedical Sensors (4.5)
Laser medicine & biophotonics (3.0)
Frontier problems of optics (4.5)
Non-linear optics of optical fibers (4.5)
Modern optics (4.5)
Optoelectronics (3.0)
Semiconductor devices (3.0)
Processing of optical information (3.0)
Principle & technology of laser (4.5)
Non-linear optics (4.5)
Engineering optics (4.5)
Application of Computers in Life Sciences (3.0)
Signal processing (4.5)
Digital signal processing (3.0)
Bioinfomatics (3.0)
3D image processing & volume visualization (3.0)
Adaptive filtration (3.0)
Biomedical image processing (4.5)
TMS320 digital signal processor (3.75)
Random signal processing (4.5)
Opt. estimation theory & system identification (4.5)
Computer graphics (4.5)
Wireless communication & sensor networks (3.0)
Mobile & wireless networking (4.5)
Module 9
Radiotherapy Imaging Computational Medical Physics 4
th Semester
Summer Term (Mannheim/ Heidelberg or Shanghai)
Mandatory courses (30.0 ECTS)
5.0 Master Thesis (30.0)
5. Overview of the Courses
Module Part Course Nr. Title ECTS
1 Basics courses
1.1 Biophysics 1 1.2 Engineering Mathematics 3.5 1.3 Genetics 1 1.4 Basic Medical Science 2
Total 7.5
2 Advanced courses
2.1 Radiation Protection 1 2.2 Radiation Physics and Instrumentation 3
Total 4
3 / 4
Specialization Winter term
3.1 Physics of Imaging Systems 2
3.1a Medical Devices and Imaging Systems (Advanced)
3.1b MRT Basics (Advanced)
3.1c X-Ray Diagnostic and Sonography (Advanced) 3.2 Radiotherapy Treatment Planning/ Dosimetry/ QA 4.5 3.3 Special Radiotherapy Techniques 3 3.4 Image Guided Radiotherapy 1 3.5 Radiobiology 1 3.6 Image Analysis 4.5 3.7 Diagnostic Radiology 1.5 3.8 Nuclear Medicine 2 3.9 Biomedical Optics 1
3.10 Basic Optics 2 3.13 Novel Diagnostic Methods in Ophthalmology 1 3.14 Biomedical Engineering 2
6 / 7
Specialization Summer term
3.15 Computational Medical Physics and Bioinformatics 1
3.16 Scientific Programming in Physics and Engineering + Exercises 4
3.17 Simulators in Games and Medicine + Exercises 8 3.18 Volume Visualization + Exercises 8 3.19 Inverse Problems + Exercises 8
3.20 Radiation Therapy Lab: Quality Assurance & Treatment Planning (6 weeks) 8
3.21 Imaging Lab: MR Technology (6 weeks) 8
3.22 Nuclear Medicine Lab: Experiments & Data Analysis (6 weeks) 8
3.24 Computational Medical Physics Lab (6 weeks) 8
3.25 Radiobiology Lab: Cell Biology & Modelling (6 weeks) 8
3.26 Seminar Radiation Therapy: Journal Club + Presentation 2
3.27 Seminar Nuclear Medicine: Journal Club + Presentation 2
3.28 Seminar Radiobiology: Journal Club + Presentation 2
3.29 Seminar MR Methods and Technology: Journal Club + Presentation 2
3.31 Seminar Computational Med. Physics: Journal Club + Presentation 2
5 Workshops (elective)
4.1 Basic Cellular Biology/Radiobiology 1 4.2 MR – Radiology 1 4.3 Radiation Protection and Quality Assurance 1 4.4 Diagnostic Radiology/ Image Management 1
4.10 Eye Clinics (Mannheim) 1 4.11 Nanoscopy Lab (Mainz) 2
4.12 Matlab Programming Exercise: Preparation for Master Thesis 4
4.13 C++ Introductory Course 4 7.0 Shanghai Workshop 1
8
Academic Skills
6.6 General Science Skills 3
Lab Project 8.1
Specialized Lab Project 16
Total 18
9 Master thesis
5.0 Masters project and thesis writing; Public presentation of the thesis and final examination 30
1
6. Modules in Detail
Course Nr. 1.1
Module Title Biophysics
Credit Points
1.0
Lecture 25 h Self-Study 3 h Preparation for Exam 2 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Biophysics of DNA/sequencing, Protein/Protein structure determination and prediction
Biophysical electrophysiology
Learning Objectives: Students should have the competence to read and understand papers in this field. They should be able to apply the knowledge to concrete applications. They should further be able to solve typical questions in this field of biophysical processes. In particular, they are able to develop programs for sequence alignment, protein structure classification, and prediction, find native conformations using force-fields, and be able to correctly perform electrophysiological measurements.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/ oral/ exercises/ report): Basics in Physics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. J. W. Hesser Recommended Literature: Will be given at the beginning of the lecture.
Module 1. Basic courses (Mandatory)
2
Course Nr. 1.2
Module Title Engineering Mathematics
Credit Points
3
Lecture 30 h Self-Study 25 h Preparation for Exam 5 h
Type of Course
Lecture
Turn
Yearly
Language
English
Contents of Module:
System modelling and description (numerical methods for solution of linear systems, approximation/integration, solving differential equations, optimization, Fourier transforms, and systems theory)
Matlab exercises (basic programming) Learning Objectives: Students should be able to solve typical numerical problems in computational physics. They should also be able to program the solutions and use the pre-existing Matlab functions for this purpose. Further, they should be select the most appropriate techniques and be able to perform simple mathematical proofs.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/ oral/ exercises/ report): Basics in Physics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. J. W. Hesser Recommended Literature: Will be given at the beginning of the lecture.
3
Course Nr. 1.3
Module Title Genetics
Credit Points
1.0
Lecture 15 h Self-Study 10 h Preparation for Exam 5 h
Type of Course
Lecture
Turn
Yearly
Language
English
Contents of Module:
Genetics
DNA, genome, chromosomes
Physical and chemical properties of DNA
Cell division, cell cycle
Genetic diseases Learning Objectives: Knowledge in genetics and the genome.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: Written Exam: Basics in Medicine Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. Veldwijk , PD Dr. P. Maier Recommended Literature: Will be given at the beginning of the lecture.
4
Course Nr. 1.4
Module Title Basic Medical Science
Credit Points
2.0
Lecture 40 h Self-Study 10 h Preparation for Exam 10 h
Type of Course
Lecture
Turn
Yearly
Language
English
Contents of Module:
Medical terminology
Macroscopic anatomy of the human body as required for physicists (anatomical relations, organ motion, differences in tissue properties and their consequences)
Focus on anatomical relations of truncus and CNS.
Preparation of slice-imaging techniques (CT, US, MRI, PET) and their interpretation
Physiology of cardiovascular system, CNS and Metabolic organs (Liver, Kidney)
Modelling of physiology
Contouring of structures in radiation planning
Radiation response Learning Objectives: Competence in anatomy and physiology.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: Written Exam: Basics in Medicine Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. W. Kriz, Prof. Dr. U. Böcker, Prof. Dr. F. Lohr, Prof. Dr. J. Maurer, Dr. T. Gloe Recommended Literature:
Netter’s Anatomy, Thieme Verlag
5
Course Nr. 2.1
Module Title Radiation Protection
Credit Points
1.0
Lecture 8 h Self-Study 14 h Preparation for Exam 8 h
Type of Course
Lecture
Turn
Yearly
Language
English
Contents of Module:
Basics of biological radiation effects
Estimation of risk of stochastic radiation damage on basis of epidemiological data
Consideration of development of tumors, risk of damage in germline and risk of embryo damage
Discussion of legal regulations about diagnostic and therapeutic radiation Learning Objectives: Risk of radiation, radiation protection, estimate risk of radiation, legal regulations for radiation
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics
Exam Regulations: Written Exam: Basics in Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. F. Wenz, Mr. V. Steil, PD Dr. C. Herskind Recommended Literature:
www.icrp.org, especially:
http://www.icrp.org/docs/Summary_B-scan_ICRP_60_Ann_ICRP_1990_Recs.pdf resp. complete ICRP Report 60
Module 2. Advanced Courses (Mandatory)
6
Course Nr. 2.2
Module Title Radiation Physics and Instrumentation
Credit Points
3.0
Lecture 26 h Self-Study 26 h Preparation for Exam 12 h
Type of Course
Lecture
Turn
Yearly
Language
English
Contents of Module:
Technical and clinical development of radiation therapy
Application of radiation therapy to malicious, benign tumors
Technical foundation of radiation therapy (planning, simulator dose calculation, tele-therapy, brachytherapy)
Chain of radiation oncology: CT, simulation, virtual simulation
Foundations of radiation physics Learning Objectives: Basics of radiation oncology, medical indication, different modalities of treatment, treatment chain, and physical background.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics and Radiation Protection
Exam Regulations: Written Exam: Basics in Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. F. Lohr, Mr. V. Steil, PD Dr. H. Wertz, Dr. M. Polednik, Prof. Dr. A. Zakaria Recommended Literature:
A century in Radiology: http://www.xray.hmc.psu.edu/rci/
Radiotherapy Physics: in Practice, Williams/Thwaites, Oxford University Press, 2000
The Physics of Radiation Therapy, Faiz M. Khan, Lippincott, 2003
Radiation Oncology – Management Decisions, Chao, Lippincott, 2002
Practical Radiotherapy Planning, Dobbs/Barrett/Ash, Edwar Arnold, 1999
Radiation Therapy Planning, Bentel, McGraw-Hill, 1995
7
Course Nr. 3.1
Module Title Physics of Imaging Systems
Credit Points
2.0
Lecture 24 h Self-Study 30 h Preparation for Exam 10 h
Type of Course
Lecture
Turn
Yearly
Language
English
Contents of Module: physical basics of imaging systems:
conventional X-ray
Computer Tomography CT
Magnetic Resonance Imaging MRI
Sonography/ Ultrasound
Medical Equipment
Learning Objectives: Students should learn about the physical basics of different imaging systems: X-ray, CT, MRI and Sonography.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: General basics in physics.
Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. L. Schad Recommended Literature:
Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002
Bildgebende Systeme für die medizinische Diagnostik, Morneburg, 1995
Computertomographie. Grundlagen, Gerätetechnologie, Bildqualität, Anwendungen, Kalender, 2006
Magnetic Resonance Imaging Theory and Practice, Vlaardingerbroek/den Boer, 2003
Module 3 / 4. Mandatory & elective courses in winter term
8
Course Nr. 3.1a
Module Title Medical Devices and Imaging Systems (Advanced)
Credit Points 4
Lecture 56 h Self-Study 30 h Preparation for Exam 10 h
Type of Course Lecture
Turn Yearly
Contents of Module: Technical basics to the following imaging systems:
Conventional X-ray
Computer Tomography CT
Magnetic Resonance Imaging MRI Learning Objectives: Students should learn about the physical basics of different imaging systems
Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: General basics in physics.
Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Lecturers: Prof. Dr. L. Schad Recommended Literature: Medical Physics and Biomedical Engineering, Brown et al., 1999
9
Course Nr. 3.1b
Module Title MRT Basics (Advanced)
Credit Points 2
Lecture 24 h Self-Study 30 h Preparation for Exam 10 h
Type of Course Lecture
Turn Yearly
Contents of Module:
Advanced techniques of Imaging in MRI Learning Objectives: Students should learn about the physical basics of the MRI techniques
Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: General basics in physics.
Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Lecturers: Prof. Dr. L. Schad Recommended Literature: Magnetic Resonance Imaging Theory and Practice, Vlaardingerbroek/ den Boer, 2003
10
Course Nr. 3.1c
Module Title X-Ray Diagnostic and Sonography (Advanced)
Credit Points 2
Lecture 24 h Self-Study 30 h Preparation for Exam 10 h
Type of Course Lecture
Turn Yearly
Contents of Module: Advanced techniques of Imaging Systems/ Diagnostics
Conventional X-ray
Sonography/ Ultrasound Learning Objectives: Students should learn about the physical basics of Conventional X-ray and Sonography
Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: General basics in physics.
Exam Regulations: Written Exam: Physics of Imaging Systems Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Lecturers: Prof. Dr. L. Schad Recommended Literature:
Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002
Bildgebende Systeme für die medizinische Diagnostik, Morneburg, 1995
11
Course Nr. 3.2
Module Title Radiotherapy Treatment Planning/ Dosimetry/ Quality Assurance
Credit Points
4.5
Lecture 26 h Lecture 26 h Practical Course 6h Self-Study 69 h Preparation for Exam 14 h
Type of Course
Lecture/ Practical Course
Turn
Yearly
Language
English
Contents of Module:
Basics of treatment planning and computation of monitor units for radiation oncology with linear accelerators
Methods for dose measurement (Ionization chambers, semi-conductor detectors, TLDs, film dosimetry)
Algorithms for dose computation: Pencil Beam, Collapsed Cone, Monte Carlo
Quality assurance of treatment planning/workflow in radio-oncology (imaging systems, computers, simulator, accelerator) focusing on geometric and dosimetric parameters
Learning Objectives: Basic and detailed knowledge of relevant techniques in treatment planning, dosimetry, and quality assurance, current workflow and theoretical basis for measurement and experiments with radiation systems
Requirements of Participation/ Required Previous Knowledge: Successful Participation in Modules 1.1, 1.2, 2.1 and 2.2 Useful Previous Knowledge: Modules 3.7 & 2.2 (Diagnostic Radiology & Radiation Oncology/ Radiation Physics)
Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: PD Dr. H. Wertz, Dr. M. Polednik, Prof. Dr. J. Hesser Recommended Literature:
A century in Radiology: http://www.xray.hmc.psu.edu/rci/
Radiotherapy Physics: in Practice, Williams/Thwaites, Oxford University Press, 2000
The Physics of Radiation Therapy, Faiz M. Khan, Lippincott, 2003
Practical Radiotherapy Planning, Dobbs/Barrett/Ash, Edwar Arnold, 1999
Radiation Therapy Planning, Bentel, McGraw-Hill, 1995
ESTRO Publications: 1. Monitor Unit Calculation for High Energy Photon Beams 2. Recommendations for a Quality Assurance Programme in External Radiotherapy 3. Practical Guidelines for the Implementation of a Quality System in Radiotherapy
AAPM Radiation Therapy Committee Task Group 53: Quality assurance for clinical radiotherapy treatment planning, Fraas et al., Med Phys Vol. 25, No. 10, October 1998
12
Course Nr. 3.3
Module Title Special Radiotherapy Techniques
Credit Points 3.0
Lecture 16 h Self-Study 38 h Preparation for Exam 16 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Foundations of brachytherapy 1. used dose rates: Low dose rate, Intermediate dose rate, High dose rate, Pulsed Dose Rate) 2. dosimetry systems (Paris System, Manchester System), principles of brachytherapeutic applications 3. computer based and image based treatment planning
Stereotactic-based precision radiation therapy
Intensity modulated radiotherapy (IMRT): special technical foundations/ quality assurance
Particle therapy. Learning Objectives: Innovative radio-oncologic methods and how they are practically used.
Requirements of Participation/ Required Previous Knowledge: Successful Participation in Modules 1.1, 1.2, 2.1, 2.2 and 3.2 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics, radiation planning, Dosimetry and quality assurance in radiology and radiotherapy
Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Dr. F. Stieler, tbd Recommended Literature:
The GEC/ESTRO Handbook of Brachytherapy, Gerbaulet, ESTRO Publishing, 2002
Intensity-Modulated Radiation Therapy, Webb, Institute of Physics Publishing, 2001
Inverse planning algorithms for external beam radiation therapy, Chui, Med. Dosim, 2001
AAPM Report on IMRT, Ezzell et al., Med. Phys. 30, 2003
13
Course Nr. 3.4
Module Title Image Guided Radiotherapy
Credit Points 1.0
Lecture 8 h Self-Study 12 h Preparation for Exam 10 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Techniques of patient positioning and target location in radiation therapy (simulation, portal imaging, positioning support systems/mask systems), inaccuracies herein concerning positioning accuracy and dosimetry
Localization by ultrasound
Localization by 2D X-ray (portal imaging, Fiducial markers)
3D-CT (Cone Beam CT, Gantry Mounted Volume Imaging)
Adaptive radiation therapy
Learning Objectives: Medical foundations of image guided radiotherapy and their physical principles.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in Modules 1.1, 1.2, 2.1, 2.2 and 3.2 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics, imaging systems, radiation therapy
Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: PD Dr. H. Wertz Recommended Literature: will be given at the beginning of the lecture.
14
Course Nr. 3.5
Module Title Radiobiology
Credit Points 1.0
Lecture/ Workshop 10 h Preparation for Presentation 6h Self-Study 10 h Preparation for Exam 4 h
Type of Course Lecture/ Workshop
Turn Yearly
Language English
Contents of Module:
Basics of biological radiation effect (physical interaction of different radiation qualities with matter, chemical reactions following, biological consequences)
Cell cycle, proliferation, signal chain gene-protein
DNA-defects and their consequences, DNA repair
Different radiation sensitivity on cellular and tissue level
Biological consequences of different fractionation protocols
Learning Objectives: Describe the biological basis of radiation effects.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in Modules 1.1, 1.3 and 1.4 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics, knowledge of cell biology
Exam Regulations: Presentation/ Written Exam/ Report: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk Recommended Literature:
Hall, E. J. and Giaccia, A. J. "Radiobiology for the Radiologist" 7th Edition. Lippincott Williams & Wilkins (Philadelphia) 2012. ISBN-13: 978-1-60831-193-4
Joiner, M. and van der Kogel A. (Eds) "Basic Clinical Radiobiology" 4th Edition. Hodder Arnold (London) 2009. ISBN: 978 0 340 929 667
15
Course Nr. 3.6
Module Title Image Analysis
Credit Points 4
Lecture 20 h Exercise 50 h Self-Study 50 h Preparation for Exam 10 h
Type of Course Lecture/ Exercise
Turn Yearly
Language English
Contents of Module:
Digitalization of image information/ relevant data formats
Mathematical methods of image transformation, digital filtering (linear, non-linear), Fourier- transform, segmentation, registration and pattern recognition
Learning Objectives: Students should be able to perform all steps of the image processing workflow. They should have the competence to select the most appropriate methods, program them and evaluate the achieved results.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in modules 1.2 and 3.7 Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. J. W. Hesser Recommended Literature:
Medical Image Processing, Gonzalez/Woods/Eddin, Pearson, 2004
16
Course Nr. 3.7
Module Title Diagnostic Radiology
Credit Points 1.5
Lecture 12 h Self-Study 24 h Preparation for Exam 9 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Physical foundations of imaging systems: a) X-ray (fluoroscopy, angiography, mammography) b) CT c) MRI, MRS d) US especially: radiation quality, imaging parameters, future developments
Properties of imaging systems for therapy planning
Image transfer, image storage, typical data formats Learning Objectives: Physical basis of different radio-diagnostic systems and the main aspects of their clinical usage.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 1.4 Useful Previous Knowledge: General Knowledge Nuclear Physics, Radiation Physics
Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: PD Dr. G. Weisser, Prof. Dr. K. Büsing, Dr. S. Haneder Recommended Literature:
Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002
17
Course Nr. 3.8
Module Title Nuclear Medicine (advanced)
Credit Points 2.0
Lecture 20 h Self-Study 28 h Preparation for Exam 12 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Basic physics of imaging with radioactive substances
Nuclear Medicine instrumentation (e.g. gamma camera/SPECT/PET)
Radionuclide production
Evaluation of diagnostic systems
Modelling in nuclear medicine
Radiochemistry / radiopharmacy
Clinical nuclear medicine (scintigraphy / immunoscintigraphy / PET)
Molecular radiotherapy (radioiodine therapy, radioimmunotherapy, peptide receptor radionuclide therapy)
Combination of nuclear medical methods with other imaging techniques (Fusion PET/CT, SPECT/CT)
Learning Objectives: Main nuclear medical imaging and therapy techniques, their physical basics and usage in the clinic.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: m2.1: Radiation Protection m2.2: Basic Radiation Oncology/Radiation Physics m3.7: Diagnostic Radiology
Exam Regulations: Written Exam: Advanced Radiotherapy Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. G. Glatting, Prof. Dr. D. Dinter, Prof. Dr. B. Wängler, Prof. Dr. K. Büsing Recommended Literature:
Physics in Nuclear Medicine. SR Cherry, JA Sorenson, ME Phelps. 4th ed. Philadelphia,
Pennsylvania: Saunders/Elsevier 2012.
Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002
18
Course Nr. 3.9
Module Title Biomedical Optics (Basic Optics and Lasers)
Credit Points 1.0
Lecture 12 h Self-Study 10 h Preparation for Exam 8 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module: physical basics of biomedical optics
basics of geometrical optics: reflection- and refraction law, dispersion, polarization
physical basics of optics: particle/wave dualism, Maxwell laws
basics of laser physics: principals, interaction with matter, laser-properties and –systems
biomedical applications: lasers in medicine, microscopy, etc. Learning Objectives: students should learn about the physical basics in optics and lasers
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 3.10 Useful Previous Knowledge: general basics in physics and optics
Exam Regulations: Written Exam: Basics in Optics and Laser Physics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. L. Schad Recommended Literature:
E. Hecht and A. Zajac, Optics, Addison Wesley, International 4th ed., 2003
M. Born and E. Wolf, Principles of optics: Electromagnetic theory of propagation, Cambridge University Press, 2002
M.H. Niemz, Laser-Tissue Interactions: Fundamentals and Applications (Biomedical and Medical Physics, Biomedical Engineering), Springer, 3
rd enlarged ed., 2003
L.O. Björn, Photobiology, Springer, 2008
19
Course Nr. 3.10
Module Title Basic Optics
Credit Points 2.0
Lecture 16 h Self-Study 32 h Preparation for Exam 12 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Geometric optics: reflection, refraction, dispersion, polarization
Optical aberration
Gauss-optics
Diffraction optics
Interferometry
Optical resolution, human eye, optical instruments
Learning Objectives: Geometric optics, lens equations for optical systems, diffraction theory and interfereometrical measurement methods.
Requirements of Participation/ Required Previous Knowledge: Successful Participation in Introductory Courses 1.1 – 1.4 Useful Previous Knowledge: General knowledge in optics
Exam Regulations: Written Exam: Basic Optics Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. J. Bille Recommended Literature:
E. Hecht, Physics, Brooks/Cole Publishing Company,1994
P. Tipler, Physics, Worth Publishers Inc., 1982
M. Born and E. Wolf, Principles of optics: Electromagnetic theory of propagation, Cambridge University Press, 2002
20
Course Nr. 3.13
Module Title Novel Diagnostic Methods in Ophthalmology
Credit Points 1.0
Lecture 12 h Self-Study 24h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module:
Light scatter in cornea, measurement of thickness of cornea
Concepts of laser scanning tomography, three-dimensional pailla analysis, nerve fiber layer measurements
Principles of angiography Learning Objectives: Recent diagnostic methods in ophthalmology.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 3.10 Useful Previous Knowledge: None
Exam Regulations: no Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. H. Krastel, Prof. Dr. S. Beutelsbacher, Prof. Dr. F. Schlichtenbrede Recommended Literature: will be given at the beginning of the lecture.
21
Course Nr. 3.14
Module Title Biomedical Engineering
Credit Points 2.0
Lecture 24 h Self-Study 30 h Preparation for Exam 10 h
Type of Course Lecture
Turn Yearly
Language English
Contents of Module: Basic Physics of biomedical engineering:
Blood Pressure
Blood Flow
ECG
EEG
MEG
MRS
Learning Objectives: Basic knowledge in biomedical engineering.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 1.4 Useful Previous Knowledge: Basics in Physics
Exam Regulations: Written Exam: Basics in Biomedical Engineering Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Coordinator: Prof. Dr. L. Schad Recommended Literature:
Medical Physics and Biomedical Engineering, Brown et al., 1999
22
Course Nr. 3.16
Module Title Scientific Programming in Physics and Engineering + Exercises (advanced)
Credit Points: 4 1.5 (Lecture) 2.5 (Exercises)
Lecture 15 h Exercise 70 h Self-Study 30 h Preparation for Exam 5 h
Type of Course Lecture and Exercises
Turn Yearly
Language English
Contents of Module: Introduction and Exercises to basic techniques of software development on basis of C++/Phyton.
Programming environment
Test strategies
Documentation
Software architecture
Software libraries
Efficient programming, parallel programming
Generic and object oriented programming
Learning Objectives: Basic knowledge in software engineering for developing programs in science disciplines like physics and engineering.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 4.13 or previously gained background in C++ Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture, C++ introduction course required Max. Number of Participants: 40 Other Comments: -
Lecturers: Prof. Dr. J. Hesser Recommended Literature: tba
Module 6 / 7. Mandatory & Elective course in summer term
23
Course Nr. 3.17
Module Title Simulators in Games and Medicine + Exercises (advanced)
Credit Points: 8.0 3 (Lecture) 5 (Exercises)
Lecture 42 h Exercise 100 h Self-Study 63 h Preparation for Exam 15 h
Type of Course Lecture and Exercise
Turn Yearly
Language English
Contents of Module:
Basic components of simulation engine (games)
Architecture of games engines
Introduction of OGRE as an open-source game engine
Overview: graphics and computer games
Collision engine
Animation and physics engine (open-source library Bullet)
Path planning engine
AI (artificial intelligence) engine
Learning Objectives: Basic knowledge of concept of computer games and its challenges. Introduction to development of architecture engines and how to deal with typical problems in graphics, collision, animation, physics, path planning, artificial intelligence. Exercises, how to develop games and realize game engines. Basic knowledge in basics of medical simulation systems.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 4.13 or previously gained background in C++ Successful attendance in module 3.16 Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture, C++ introduction course required, attendance in module 3.16 Max. Number of Participants: 40 Other Comments: -
Lecturers: Prof. Dr. J. Hesser Recommended Literature:
Gregory et al: Game Engine Architecture
Ericson: Real-Time Collision Detection
Eberly: Game Physics
Millington: Artificial Intelligence for Games
24
Course Nr. 3.18
Module Title Volume Visualization + Exercises (advanced)
Credit Points: 8.0 2 (Lecture) 6 (Exercises)
Lecture 28 h Exercise 42 h Self-Study 155 h Preparation for Exam 15 h
Type of Course Lecture and Exercise
Turn Yearly
Language English
Contents of Module:
Computer Graphics basics
Conversion into surface and volume grids
Sampling and approximation theory
Volume rendering
Vector and information visualization Programming technique: GPU- programming
Learning Objectives: Basic knowledge in the fundamental methods of representing complex scientific information.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 4.13 or previously gained background in C++ Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture, C++ introduction course required Max. Number of Participants: 40 Other Comments: -
Lecturers: Prof. Dr. J. Hesser Recommended Literature:
Engel et al: Real-Time Volume Graphics: www.real-time-volume-graphics.org,
Schroeder et al: VTK Textbook: http://www.kitware.com/products/books/vtkbook.html
25
Course Nr. 3.19
Module Title Inverse Problems + Exercises (advanced)
Credit Points: 8.0 2 (Lecture) 6 (Exercises)
Lecture 28 h Exercise 42 h Self-Study 155 h Preparation for Exam 15 h
Type of Course Lecture and Exercise
Turn Yearly
Language English
Contents of Module:
Examples of inverse problems, especially tomography and deblurring
Deterministic approaches, Tikhonov regularization
Stochastic methods (Bayesian techniques)
Estimating the regularization parameter
Compressed sensing
Learning Objectives: Basic knowledge in solving inverse problems.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: Registration to this lecture Max. Number of Participants: 40 Other Comments: -
Lecturers: Prof. Dr. J. Hesser Recommended Literature: Vogel: Computational Methods for Inverse Problems http://www.math.montana.edu/~vogel/Book/
26
Course Nr. 3.20
Module Title Radiation Therapy Lab: Quality Assurance & Treatment Planning (advanced)
Credit Points: 8.0
Lab 40 h Self-Study 176 h Written Report 24 h
Type of Course Lab
Turn Yearly
Language English
Contents of Module:
Practical exercises for quality assurance of workflow and treatment planning system (system geometry, dosimetry) – “end-to-end”-test.
Dosimetry with different detector systems (ionization chamber, solid state detector, film dosimeter) in different measurement systems (water phantom, water equivalent solid phantom etc.)
Patient Treatment planning (different tumor sites).
Learning Objectives: Practical application of theoretical knowledge by measuring in phantoms for dosimetry and quality assurance as well as basic knowledge in treatment planning.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in module 2.1, 2.2, 3.2 and 3.4 Useful Previous Knowledge: Basic Knowledge in Radiation Physics
Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab
Lecturers: Mr. V. Steil, PD Dr. H. Wertz, Dr. M. Polednik Recommended Literature:
tba
27
Course Nr. 3.21
Module Title Imaging Lab: MR Technology (advanced)
Credit Points 8.0
Lab 40 h Self-Study 176 h Written Report 24 h
Type of Course Lab
Turn Yearly
Language English
Contents of Module:
Practical exercises for image acquisition with MR (phantom experiments)
Characteristics of conventional image sequences regarding tissue contrast, artefacts …
Characteristics of fast image sequences
Application of special sequences (angiography, diffusion tensor imaging, functional MRI)
Exercises for MR- spectroscopy
Learning Objectives: In-depth exercises in MRI following the theoretical knowledge of module 3.1. The students learn the important applications of MR in medicine. They learn to handle imaging sequences and gain knowledge in MR- spectroscopy.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.1 and 4.2 Useful Previous Knowledge: Basic Knowledge in Physics
Exam Regulations: Presentation/ Short Report/ Exercises/ Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab
Lecturers: Prof. Dr. L. Schad Recommended Literature:
tba
28
Course Nr. 3.22
Module Title Nuclear Medicine Lab: Experiments & Data Analysis (advanced)
Credit Points 8.0
Lab 40 h Self-Study 176 h Written Report 24 h
Type of Course Lab
Turn Yearly
Language English
Contents of Module:
Radioactivity
Calibration Factor
Positron-Emission-Tomography
Emphasis:
Image reconstruction and/or
Evaluation of dynamic PET-studies and/or
Solution of optimization problem in radionuclide- therapy
Learning Objectives: The students repeat and deepen their knowledge in nuclear medicine, e.g. radioactivity and PET. Additionally, they get to know and apply easy examples of image reconstruction and evaluation of dynamic PET data with compartmental models. The students understand how experimental data are obtained in nuclear medicine and how to interpret these. An optimization problem in radionuclide therapy will be evaluated and solved. They learn how to work scientifically, including literature research, protocol writing of experiments. At the end, the students will write a short report about their results.
Requirements of Participation/ Required Previous Knowledge: Successful attendance of module 3.8 Useful Previous Knowledge: Basics in Mathematical Modelling and MATLAB
Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab
Lecturers: Prof. Dr. G. Glatting, PD Dr. K.-A. Büsing, Prof. Dr. B. Wängler Recommended Literature:
tba
29
Course Nr. 3.24
Module Title Computational Medical Physics Lab (advanced)
Credit Points 8.0
Lecture: 4 h Lab 180 h Self-Study 40 h (for report) Preparation for Presentation 16 h
Type of Course Lab
Turn Yearly
Language English
Contents of Module:
Methods of non-linear numerical analysis – eLearning-course
GPU programming – hands-on-course with examples
Mathematical models in medical physics and biomedical optics such as – eLearning course
Learning Objectives: The students learn to deal with research topics related to computational medical physics. They learn special techniques to prepare themselves for the master thesis. They will work on a small lab project, write a short report about the workflow and the results and give a short presentation in the seminar (elective, module 3.30). They gain experience in scientific work and evaluation.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 12 Other Comments: Block Lab
Lecturers: Prof. Dr. J. Hesser Recommended Literature:
tba
30
Course Nr. 3.25
Module Title Radiobiology Lab (advanced)
Credit Points 8.0
Lab 40 h Self-Study 176 h Written Report 24 h
Type of Course Lab
Turn Yearly
Language English
Contents of Module:
Basics of cell culture
Techniques in micro biology
Basics of molecular biology techniques (Flowcytometry, PCR, Genetransfer, gene expression analysis)
Learning Objectives: In depth theoretical and practical knowledge about cell culture, sterile working, molecular biology methods.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: Basics in Biology and Chemistry
Exam Regulations: Presentation/Short Report/Exercises/Exam Formalities Required: no Max. Number of Participants: 4 Other Comments: Block Lab
Lecturers: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk Recommended Literature:
tba
31
Course Nr. 3.26
Module Title Seminar Radiation Therapy: Journal Club + Presentation (advanced)
Credit Points 2.0
Journal Club: 15 h Preparation for Presentation and report: 30 h
Type of Course Seminar
Turn Yearly
Language English
Contents of Module: The topic depends on the current state of the art and the supervising lab (module 3.20). Workflow:
Attendance in the Journal Club Radiation Therapy (min. 5 times)
Presentation in Journal Club (1 time)
Report submission
Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 2.1, 2.2, 3.2 Useful Previous Knowledge: None
Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 12 Other Comments: Seminar, every Tuesday
Lecturers: PD Dr. H. Wertz Recommended Literature:
tba
32
Course Nr. 3.27
Module Title Seminar Nuclear Medicine: Journal Club + Presentation (advanced)
Credit Points 2.0
Journal Club: 15 h Preparation for Presentation and report: 30 h
Type of Course Seminar
Turn Yearly
Language English
Contents of Module: The topic depends on the current state of the art . Workflow:
Attendance in the Journal Club Radiation Therapy (min. 5 times)
Presentation in Journal Club (1 time)
Report submission
Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including literature research.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.8 Useful Previous Knowledge: None
Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 12 Other Comments: Seminar, every Tuesday
Lecturers: Prof. Dr. G. Glatting Recommended Literature:
tba
33
Course Nr. 3.28
Module Title Seminar Radiobiology: Journal Club + Presentation (advanced)
Credit Points 2.0
Journal Club: 15 h Preparation for Presentation and report: 30 h
Type of Course Seminar
Turn Yearly
Language English
Contents of Module: The topic depends on the current state of the art. Workflow:
Attendance in the Journal Club Radiobiology (min. 5times)
Presentation in Journal Club (1 time)
Report submission
Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.5 Useful Previous Knowledge: None
Exam Regulations: Presentation, min. 5 times presence in seminar / protocol Formalities Required: no Max. Number of Participants: 4 Other Comments: Seminar, every second Wednesday
Lecturers: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk Recommended Literature:
tba
34
Course Nr. 3.29
Module Title Seminar MR Methods and Technology: Journal Club + Presentation (advanced)
Credit Points 2.0
Journal Club: 15 h Preparation for Presentation and report: 30 h (whole year seminar: total 96 h)
Type of Course Seminar
Turn Yearly
Language English
Contents of Module: The topic depends on the current state of the art and the supervising lab (module 3.21).
Physical basics of imaging and/or diagnostic techniques:
MRI
CT Workflow:
Attendance in the Journal Club Imaging (min. 5 times)
Presentation in Journal Club (1 time)
Report submission.
Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.1 and 3.21 Useful Previous Knowledge: None
Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 6 Other Comments: Seminar, every Wednesday
Lecturers: Prof. Dr. L. Schad Recommended Literature:
Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002.0
Bildgebende Systeme für die medizinische Diagnostik, Morneburg, 1995
Computertomographie. Grundlagen, Gerätetechnologie, Bildqualität, Anwendungen, Kalender, 2006 Magnetic Resonance Imaging Theory and Practice, Vlaardingerbroek/den Boer, 2003
35
Course Nr. 3.31
Module Title Seminar Computational Medical Physics: Journal Club + Presentation (advanced)
Credit Points 2.0
Journal Club: 15 h Preparation for Presentation and report: 30 h
Type of Course Seminar
Turn Yearly
Language English
Contents of Module: The topic depends on the current state of the art and the supervising lab (module 3.21). Workflow:
Attendance in the Journal Club Image Analysis (min. 5 times)
Presentation in Journal Club (1 time)
Report submission
Learning Objectives: The students learn to take part in scientific discussions, formulate a topic related to current state of the art and present it. They learn to work on and present scientific problems, including i.e. literature research.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in courses 3.24 Useful Previous Knowledge: None
Exam Regulations: Presentation, min. 5 times presence in seminar Formalities Required: no Max. Number of Participants: 6 Other Comments: Seminar, every Thursday
Lecturers: Prof. Dr. J. Hesser Recommended Literature:
tba
36
Course Nr. 4.1
Module Title Basic Cellular Biology/ Radiobiology
Credit Points 1.0
Practical Course 16 h Self-Study 14 h
Type of Course Practical Course/ Lab
Turn Yearly
Language English
Contents of Module:
Basics of cell culture Techniques in micro biology Basics of molecular biology techniques (Flowcytometry, PCR, Genetransfer, gene expression
analysis) Learning Objectives: Theoretical and practical basics about cell culture, sterile working, molecular biology methods.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: Basics in Biology and Chemistry
Exam Regulations: data evaluation / presentation / report Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course
Lecturers: PD Dr. C. Herskind, Prof. Dr. M. Veldwijk, PD Dr. P. Maier Recommended Literature:
Hall, E. J. and Giaccia, A. J. "Radiobiology for the Radiologist" 7th Edition. Lippincott Williams & Wilkins (Philadelphia) 2012. ISBN-13: 978-1-60831-193-4
Joiner, M. and van der Kogel A. (Eds) "Basic Clinical Radiobiology" 4th Edition. Hodder Arnold (London) 2009. ISBN: 978 0 340 929 667
Module 4. Workshops
37
Course Nr. 4.2
Module Title MR-Radiology
Credit Points 1.0
Practical Course 16 h Self-Study 14 h
Type of Course Practical Course/ Lab
Turn Yearly
Language English
Contents of Module:
Practical training in image acquisition with MRI (phantom experiments) Characteristics of conventional imaging sequences regarding tissue contrast, artefacts …
(T1, T2) Characteristics of fast imaging sequences
Application of special sequences (angiography, diffusion tensor imaging, functional MRI)
Practical training in MR- spectroscopy Learning Objectives: In-depth exercises in MRI following the theoretical knowledge of module 3.1. The students learn the important applications of MR in medicine. They learn to handle imaging techniques and different contrast modalities as well as gain knowledge in MR- spectroscopy.
Requirements of Participation/ Required Previous Knowledge: successful attendance in module 3.1 Useful Previous Knowledge: general basics in physics and MRI
Exam Regulations: presentation and data evaluation Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course
Lecturers: Prof. Dr. L. Schad Recommended Literature:
Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002
38
Course Nr. 4.3
Module Title Radiation Protection and Quality Assurance
Credit Points 1.0
Practical Course 16 h Self-Study 14 h
Type of Course Practical Course/ Lab
Turn Yearly
Language English
Contents of Module:
Person dosimetry, radiation protection from architectural side
Practical exercises for quality assurance of workflow and treatment planning system (system geometry, dosimetry)
Dosimetry with different detector systems (ionization chamber, solid state detector, film dosimeter) in different measurement systems (water phantom, water equivalent solid phantom etc.)
Learning Objectives: Practical application of theoretical knowledge by measuring in phantoms for dosimetry and quality assurance.
Requirements of Participation/ Required Previous Knowledge: Participation in courses 2.1, 2.2 and 3.2 Useful Previous Knowledge: Basics in radiation protection / treatment planning / dosimetry / quality assurance
Exam Regulations: data evaluation /report Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course
Lecturers: Mr. V. Steil, Dr. M. Polednik, Dr. S. Clausen Recommended Literature:
A century in Radiology: http://www.xray.hmc.psu.edu/rci/
Radiotherapy Physics in Practice, Williams/Thwaites, Oxford University Press, 2000
The Physics of Radiation Therapy, Faiz M. Khan, Lippincott, 2003
Practical Radiotherapy Planning, Dobbs/Barrett/Ash, Edwar Arnold, 1999
Radiation Therapy Planning, Bentel, McGraw-Hill, 1995
ESTRO Publications: 1. Monitor Unit Calculation for High Energy Photon Beams 2. Recommendations for a Quality Assurance Programme in External Radiotherapy 3. Practical Guidelines for the Implementation of a Quality System in Radiotherapy
AAPM Radiation Therapy Committee Task Group 53: Quality assurance for clinical radiotherapy treatment planning, Fraas et al., Med Phys Vol. 25, No. 10, October 1998
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Course Nr. 4.4
Module Title Diagnostic Radiology / Image Management
Credit Points 1.0
Practical Course 16 h Self-Study 14 h
Type of Course Practical Course/ Lab
Turn Yearly
Language English
Contents of Module:
Workflow in radiology department
Working with different imaging systems (x-ray and non-x-ray devices)
Practical exercises for a system architecture of image storage and handling
Image transfer techniques, networking, tele-radiology Learning Objectives: Working with imaging systems (CT, MRI), data storage/ management and transfer.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: module 3.7 (Diagnostic Radiology)
Exam Regulations: no Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Practical Course
Lecturers: PD Dr. G. Weisser, Prof. Dr. C. Groden Recommended Literature: Medical Imaging Physics, Hendee/Ritenour, Wiley-Liss, 2002
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Course Nr. 4.10
Module Title Eye Clinics (Mannheim)
Credit Points 1.0
Practical Course 16 h Self-Study 14 h
Type of Course Practical Course/ Lab
Turn Yearly
Language English
Contents of Module:
Practical exercises in SLO, OCT and cornea angiography Learning Objectives: Application of ophthalmologic systems and practical experience in ophthalmologic diagnostic systems.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: written protocol Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Lecturers: Prof. Dr. H. Krastel, Prof. Dr. S. Beutelsbacher, Prof. Dr. F. Schlichtenbrede Recommended Literature: will be given at the beginning of the lab.
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Course Nr. 4.11
Module Title Nanoscopy Lab (Mainz)
Credit Points 2.0
Practical Course 24 h Self-Study 36 h
Type of Course Practical Course/
Lab
Turn Yearly
Language English
Contents of Module:
Confocal laser scanning microscopy
Spectral precision microscopy
Wavefield microscopy
Signal processing and biological application Learning Objectives: Knowledge about different light-optical microscopes for structure imaging beyond conventional optical resolution.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: written protocol Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Lecturers: Prof. Dr. C. Cremer, Dr. U. Birk (IMB, University Mainz) Recommended Literature: will be given at the beginning of the lab.
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Course Nr. 4.12
Module Title Matlab Programming Exercise: Preparation for Master Thesis
Credit Points 4.0
Lecture 10 h Self-Study 90 h Preparation for Exam 20 h
Type of Course Lecture /
Practical Course
Turn Yearly
Language English
Contents of Module:
User interfaces
Advanced Matlab programming skills
Typical applications where Matlab is applied in the master thesis Learning Objectives: Advanced programming concepts, should obtain the required programming knowledge required to realize a programming-oriented master thesis.
Requirements of Participation/ Required Previous Knowledge: Basic knowledge of programming in Matlab Useful Previous Knowledge: None
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Instructor: Supervisor or co-supervisor for master topic Recommended Literature:
http://www.lmsc.ethz.ch/Teaching/ipss_2010/advancedProgramming.pdf
http://jagger.berkeley.edu/~pack/e177/
http://www.mathworks.cn/programs/downloads/presentations/MasterClassA_AdvancedProgramming.pdf
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Course Nr. 4.13
Module Title C++ Introductory Course
Credit Points 4.0
Lecture 10 h Self-Study 90 h Preparation for Exam 20 h
Type of Course Lecture / Practical Course
Turn Yearly
Language English
Contents of Module:
Simple programming tools (editor, compiler, shell)
Types, variables, operators, combined types
Flow control
Pointer, references, dynamic variables
Classes, methods, attributes, inheritage
IO
STL Learning Objectives: Programming concepts, competence to write simple programs.
Requirements of Participation/ Required Previous Knowledge: Basic knowledge of programming in Matlab Useful Previous Knowledge: C or Java knowledge
Exam Regulations: yes Exam (written/oral/exercises/report) Formalities Required: no Max. Number of Participants: 40 Other Comments: Block Course
Instructor: tbd Recommended Literature:
http://wiki.kip.uni-heidelberg.de/ti/Informatik-Vorkurs/index.php/Main_Page
44
Course Nr. 7
Module Title Shanghai Workshop
Credit Points 1.0
Workshop 16 h Self-Study 14 h
Type of Course Workshop
Turn Yearly
Language English
Contents of Module: The schedule of the workshop in Shanghai covers one week. Both Shanghai Jiao Tong University and Mannheim Faculty, University of Heidelberg, provide about 8-hour lectures. The lectures cover the topics:
Radiotherapy, Nuclear Medicine:
Modern Radiation Oncology (Shanghai Jiao Tong University)
Image Guided Radiotherapy (University of Heidelberg)
Hyperthermia (University of Heidelberg)
Biomedical Optics (Shanghai Jiao Tong University) Additionally, the students join the “Annual Sino-German Radiation Oncology Symposium”. Learning Objectives: Inter-institutional interaction on the recent developments and current research activities in Radiotherapy and Biomedical Optics.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: presentation / oral exam Formalities Required: no Max. Number of Participants: 20 Other Comments: Block Course
Lecturers: Prof. Dr. F. Wenz, Prof. Dr. J. Bille, Prof. Dr. J. Hesser, Prof. Dr. L. Schad, Prof. Dr. G. Glatting Recommended Literature: will be given at the beginning of the workshop.
Module 8.
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Course Nr. 6.6
Module Title General Science Skills
Credit Points 3.0
Workshop 4 h Self-Study 86 h
Type of Course Workshop
Turn Yearly
Language English
Contents of Module: The students receive a topic/theme (i.e. future master thesis topic).
Following the theme, the students work on the state of the art, write a short report and present it.
The students learn how to get new ideas through special techniques like brainstorming. They have to structure these ideas and develop a research plan/proposal. A report has to be written.
A tutor will introduce the students to each task and will guide them through their work. Learning Objectives: The students learn how to plan a scientific work, how to gain information about the state of the art, how to write and review grant proposals and how to gain new ideas in a research field.
Requirements of Participation/ Required Previous Knowledge: None Useful Previous Knowledge: None
Exam Regulations: Presentation / report /protocol Formalities Required: no Max. Number of Participants: 15 Other Comments: Block Workshop
Lecturers: Prof. Dr. G. Glatting, Prof. Dr. J. Sleeman Recommended Literature: Will be given at the beginning of the workshop.
46
Module Number
8.1
Module Title
Specialized Lab Project
Credit Points 16.0
Lab 480h Type of Course Scientific Lab Project
Turn Yearly
Language English
Contents of Module The topic depends on the supervising department. Learning Objectives The students learn to work on a scientific project, including e.g. the scientific approach, protocol writing of experiments. Thereafter, they have the knowledge and experience to perform a scientifically oriented master thesis.
Requirements of Participation/Required Previous Knowledge Successful attendance in General Science Skills (module 6.1/2/3 or 6.5) as well as, if possible, another specialized seminar in order to know the basics of planning and control of scientific lab projects. Useful Previous Knowledge None
Exam Regulations: protocol to Practical Course Formalities Required None Max. Number of Participants: 20 Other Comments independent scientific lab project (supervised)
Recommended Literature: Depending on the theme of the project.
47
Course Nr. 5
Module Title Master Thesis
Credit Points 30.0
4 months (daily) Type of Course Thesis
Turn Yearly
Language English
Contents of Module: The topic and contents depend on the supervising department. Learning Objectives: The students can work independently on a scientific topic, guided by a tutor. They can search and analyse literature as well as formulate/ organize and perform an experiment.
Requirements of Participation/ Required Previous Knowledge: Successful attendance in all courses 1, 2 and specialized courses from 3 (related to the individual specialization of the student) Useful Previous Knowledge: None
Exam Regulations: Written Thesis, colloquium (public oral presentation with discussion), final oral examination about thesis and whole content of the attended lectures Formalities Required: no Max. Number of Participants: 40 Other Comments: Independent scientific work (supervised)
Recommended Literature: Topic-related.
Module 9.