INTRODUCTION

• Introduction • Current status of bioimaging in the AVS

(Valencia Health Agency) • CEIB Objectives

• Project Overview

• System parts

• R & D

• Conclusions

EVOLUTION OF BIOIMAGING

CURRENT STATUS OF AVS BIOIMAGE PROJECT Proof of Concept of Centralized Medical Imaging Management (GIMC)

CURRENT STATUS OF AVS BIOIMAGE PROJECT

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Servicios DICOM Q/R Acceso WADO

PACS DEPARTAMENTALES

GIMC

CURRENT STATUS OF AVS BIOIMAGING PROJECT

Reference Centre to provide excellence in bioimaging from a common repository

CEIB

Cardiology

Reference Centre to provide excellence in bioimaging from a common repository

CEIB

Neurology

Reference Centre to provide excellence in bioimaging from a common repository

CEIB

Angiography

Use of an image biobank for R & D and transferring specialized knowledge to the patient's electronic medical/health record (EHR)

o Development of an outstanding “search engine” through cataloged and indexed biobank for information management.

o Information validation and quality control

o Image Post-processing

o Systems Decision Support Imaging

CEIB WORKING LINES

Development of an outstanding “search engine” through cataloged and indexed biobank for information management

o Search for images, control cohort, discoveries, clinical trials, etc.

o Knowledge of the population by means of image quantitative markers

o Structuring radiological examinations from EHR through DICOM

SR standard.

CEIB GOALS

Information validation and quality control oValidation at the level of studies (protocols, alerts) oValidation at the level of data (standardization) oQuality control regarding to radiation doses by considering both patients and studies

CEIB GOALS

Image Post-processing

o Centralizing image post-processing in clinical trials

o Validation of new techniques of processing and obtaining quantitative marks

o Development of tools for image processing

o Development, standardization and validation of Image

Biomarkers

CEIB GOALS

Computing Supported / Aided Decision through Bioimage

o Creation of virtual net-communities for users with common interests

o Participation in international projects (Connectome)

o Design and implementation of tools for the development of

Computing Aided Decision of medical systems

CEIB GOALS

SYSTEM OVERVIEW. CURRENT INFRASTRUCTURE

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SYSTEM AREA: ALSIS PLATFORM, HITACHI COMMUNICATION AREA: ARTERIAS CEIB LAB HOSPITAL PACS

HITACHI

ALSIS

Arterias

Lab CEIB

GIMC

SYSTEM COMPONENTS

Search Engine (SE)

Anonymizer (ANOM)

DICOM Morphing

BET

SYSTEM OVERVIEW

GEBID

BIKE

CLOUD CEIB R & D

GIMC

EHR

R & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)

SYSTEM COMPONENTS

R & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)

SYSTEM COMPONENTS

R & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)

SYSTEM COMPONENTS

R & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)

SYSTEM COMPONENTS

BIOIMAGING KNOWLEDGE ENGINE (BIKE) Techniques

SYSTEM COMPONENTS

BIKE-OLOGIES

Bike-Cardio

Quantification of cardiac function

Electrophysiology planning

Bike-Vascular

Morphological analysis of aneurysms

Virtual treatment

Bike-Orthopaedics

Diagnosis of osteoporosis

Spine disease diagnosis and

treatment planning

Bike-NeuroImaging

Detection of epileptogenic focus

Dopamine transmission quantification

Bike-Datamining

Radiation Exposure

Quality Control

BIKE-OLOGIAS BioImage Knowledge Engine

BIKE-Postprocessing

SYSTEM COMPONENTS

Angel Alberic. Cuantificación Quirón

BIKE-Postprocessing: Computational Models

SYSTEM COMPONENTS

Martí Bonmatí L, et al. Biomarcadores de imagen, imagen cuantitativa y bioingeniería. Radiología. 2011

BIKE-Imaging: Quantification and Biomarkers

SYSTEM COMPONENTS

BIKE-Imaging: Feature Extraction

SYSTEM COMPONENTS Martí Bonmatí L, et al. Biomarcadores de imagen, imagen cuantitativa y bioingeniería. Radiología. 2011

BIKE-Datamining

SYSTEM COMPONENTS

R&D. WE HAVE A DREAM Return the R & D through the EHR by the transmission of knowledge to the patient

R&D Return on R & D to the EHR by the transmission of knowledge to the patient

R&D Return on R & D to the EHR by the transmission of knowledge to the patient

Title: CEIB Experience: A R&D cloud services in bioimaging oriented to integration of environments with EHR Abstract: Purpose: The EHR of the Valencia Health Service (Spain) offers highly specialized solutions. The purpose of this work is to present the centralization of “Valencia Biobank of Medical Imaging” (GIMC). This project will allow R&D support for the scientific community through the implementation of logical services based in Open Source technologies. Methods and Materials: Centralized storage image systems are a milestone in the strategic framework of the AVS. That is why obtained images from the entire population, are a sample of great value that will form the basis of knowledge for the future science. The defined architecture includes a Search Engine, a platform to support the management of clinical trials with biomedical imaging (GEBID) and a Bioimaging Knowledge Engine (BIKE). Results: Both CEIB and GIMC provide an ideal data source for analyzing the acquired image data. In particular, the following actions are prepared: development and validation of an Image Bank, a Decision Support Systems, an Imaging Biomarkers platform, Virtual Communities as users’ networks and Image Processing Tools libraries. Conclusion: As a result of the data management from the Biobank and the development of Cloud services-CEIB, digital medical imaging and computer processing, several biomarker parameters and quality innovations will be develop and shown. This initiative will allow the “Valencia Biobank of Medical Imaging” to achieve excellence in care and experimental medicine in the field of Bioimaging. The main final objective of this process is that the results of R&D will be transferred to the patient, providing value-added elements to their EHR.in bioimaging oriented to integration of environments with EHR

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