michael habermann applications of cbm-root simulation of a medical probe for tumor localization

Michael Habermann

Applications of CBM-Root

Simulation of a medical probe for tumor localization.

Michael Habermann

Overview

• GF&E

• Medical Aspects

• Our Approach

• Phantom Simulations

• Electronic Simulation

Michael Habermann

Gesellschaft für Forschungs- und Entwicklungsservice mbH

GF&E delivers physical-technical R&D-services. Our goal ist to apply and transfer key-technologies – especially from GSI developed methods, techniques and qualifications.

Michael Habermann

Positron Emission Tomography

• Uses 18F (β+-Emitter, λ=110 minutes)

• 18F is attached to tracer (Glucose)

• Glucose is enriched in body parts with high energy intake

• Tumors need much energy to grow fast

Michael Habermann

Conventional Low Energy Probewith 99mTc

Water 1 kBq/mlTumor

10kBq/ml

DetektorKollimator

Michael Habermann

Conventional Low Energy Probewith 18F

Michael Habermann

Electronic Collimation

Michael Habermann

Our Design

Michael Habermann

γ-Locator DXI

Michael Habermann

Phantom-Measurements

Sphere

Michael Habermann

Phantom-Measurements

Michael Habermann

Real Scenario

t=20

10

1:6:12

20

60

30

99Tc

Michael Habermann

CBMRoot-Simulation

CBMRootSimulation(Cint-C++)

Scenario Description(Cint-C++/

CBMRoot-Text-Files)

Geant3

ROOTDatabase Files

CBMRoot

Algorithms(ANSI-C/Cint-C)

Analyzer Script(Cint-C++)

AnalysisPostcript files

Probe Application Software

Michael Habermann

Implementation

+virtual ReadEvent()

CBMGenerator

+virtual SetActivityConcentration()+virtual GetActivity()+virtual GetVolume()#virtual GetRandomVertex()

-PointSource : CBMParticleGenerator

YlocGeometryGenerator

-Energy-Type

CBMParticleGenerator

-Dimensions-Activity

YlocBoxGenerator

-Dimensions-Activity

YlocSphereGenerator

-Dimensions-Activity

YlocCylinderGenerator

-Nuclide : CBMParticleGenerator

YlocPhotonPairGenerator

Michael Habermann

Data analysis

Michael Habermann

Data analysis

Michael Habermann

Summary

• No redundance of application sourcecode for simulation

• Easy adaption of scenarios through text files

• Use of ROOT for presentation of analysis results