INTRODUCTION          • Introduction          • Current status of bioimaging in the AVS            (Valencia Health Agency...
EVOLUTION OF BIOIMAGING
CURRENT STATUS OF AVS BIOIMAGE PROJECTProof of Concept of Centralized Medical Imaging Management (GIMC)
CURRENT STATUS OF AVS BIOIMAGE PROJECT               PACS DEPARTAMENTALES                                      Servicios D...
CURRENT STATUS OF AVS BIOIMAGING PROJECT
CEIBReference Centre to provide excellence inbioimaging from a common repository  Cardiology
CEIBReference Centre to provide excellence inbioimaging from a common repository  Neurology
CEIBReference Centre to provide excellence inbioimaging from a common repository  Angiography
CEIB WORKING LINESUse of an image biobank for R & D andtransferring specialized knowledge to the patientselectronic medica...
CEIB GOALSDevelopment of an outstanding “search engine” throughcataloged and indexed biobank for information management   ...
CEIB GOALSInformation validation and quality controloValidation   at the level of studies (protocols, alerts)oValidation  ...
CEIB GOALSImage Post-processing   o   Centralizing image post-processing in clinical trials   o   Validation of new techni...
CEIB GOALSComputing Supported / Aided Decision through Bioimage   o   Creation of virtual net-communities for users with c...
SYSTEM OVERVIEW. CURRENT INFRASTRUCTURESYSTEM AREA: ALSIS PLATFORM, HITACHICOMMUNICATION AREA: ARTERIASCEIB LABHOSPITAL PA...
SYSTEM COMPONENTSGIMC                Search Engine (SE)                      Anonymizer (ANOM)                            ...
SYSTEM OVERVIEW                       EHR   CLOUD CEIB R & D                      GIMC               BIKE    GEBID
SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
SYSTEM COMPONENTSBIOIMAGING KNOWLEDGE ENGINE (BIKE) Techniques
BIKE-OLOGIES                                                Bike-                 Bike-                 Bike-  Bike-Cardio...
SYSTEM COMPONENTSBIKE-Postprocessing                  Angel Alberic. Cuantificación Quirón
SYSTEM COMPONENTSBIKE-Postprocessing: Computational ModelsMartí Bonmatí L, et al. Biomarcadores de imagen, imagen cuantita...
SYSTEM COMPONENTSBIKE-Imaging: Quantification and Biomarkers
Martí Bonmatí L, et al. Biomarcadores deSYSTEM COMPONENTS                  imagen, imagen cuantitativa y                  ...
SYSTEM COMPONENTSBIKE-Datamining
R&D. WE HAVE A DREAMReturn the R & D through the EHR by the transmission of knowledge tothe patient
R&DReturn on R & D to the EHR by the transmission of knowledge to thepatient
R&DReturn on R & D to the EHR by the transmission of knowledge to thepatient
Title:CEIB Experience: A R&D cloud services in bioimaging oriented to integration of environments with EHRAbstract:Purpose...
Maria de la Iglesia - CEIB: a R&D services in bioimaging oriented to integration of environments with her on cloud computing
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Maria de la Iglesia - CEIB: a R&D services in bioimaging oriented to integration of environments with her on cloud computing

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Presentation of Workshop on Technology for Healthcare and Healthy Lifestyle 2011

Thursday 1st Dec 2011
Session I

http://www.tsb.upv.es/wths2011

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  • C – E - I – B : CENTRE OF EXCELENCE FOR BIOMEDICAL IMAGING, IN SPANISH CEIB-AVS
  • I WILL DIVIDE MY PRESENTATION IN THIS TOPICS I WILL TAK ABOUT
  • IN THE PAST THE RADIOLGIST ANALIZED THE X-RAY IMAGE TAKING A LOOK NOWADAYS THE PACS AND DIAGNOSTIC STATION ARE THE TOOLS THAT THESE PROFESIONALS ARE USING AND OF COURSE THE EVOLUTION OF BIOIMAGING IS FOCUSED TO COMPUTATIONAL MODELS AND THE IMAGE BIOMARKERS.
  • THE ARQUITECTURE OF THE SYSTEM CONSISTS OF….
  • AS YOU CAN SEE
  • THIS IMAGE REPOSITORY SUPORTS ALL IMAGES THAT ARE PRODUCED BY VALENCIAN HOSPITALS THIS REPOSITORY WILL OFFER SERVICES FOR DIFERENT APLICATIONS VIA STANDARD WADO (WEB ACCESS DICOM OBJECT)
  • CEIB IS AIMED TO BE A RE…
  • AND SO ON
  • I SHOW YOU A BRIEF SUMMARY OF THE WORKING LINES
  • IF WE FOCUS IN THE FIRST POINT OUR MAIN GOALS ARE 1 2 3
  • THE SECOND GOAL LEAD AS TO THE NEXT TOPICS
  • THE NEXT GOAL IS RELATED TO IMAGE POST-PORCESING THROUGH
  • THE NEXT GOAL IS COMPUTING SUPPORTED…
  • THE ARQUITECTURE OF OUR SYSTEM WILL CONSIS IN THE FUTURE OF A CLOUD CEIB R&D THAT IS COMPOSED BY GEBID AND BIKE
  • IS BASED IN XNAT FRAMEWORK WHICH ALLOWS THE ORGANITATION AND SHARING OF BIOIMAGE DATA
  • AS YOU CAN SEE THIS FRAMEWORK SUPPORS DIFERENT KINDS OF DATA RELATED TO CLINICAL TRIAL
  • XNAT ORGANIZES THE WORK FLOW IN CLINICAL TRIALS
  • XNAT FRAMEWORK IS DIVIDED IN THREE LEVELS
  • THE SECOND ELEMENT OF CLOUD CEIB R&D IS BIKE THAT MEANS… THIS IS OUR CONCEPTUAL FRAMEWORK TO HIGH COMPUTATIONAL FOR BIOMEDICAL IMAGING WE HAVE TWO CRITERIA IN ORDER TO DEVELOP THIS …..
  • I WANT TO REMARK THAT ALL OUR SYSTEM IS BASED BY OPEN SOURCE
  • Figura 2 Proceso de extracción de información relevante mediante la creación de imágenes paramétricas
  • Izquierda, reconstrucción 3D de hueso trabecular extraída a partir de imágenes de RM de alta resolución espacial. Centro, conversión de la geometría de la estructura trabecular a un modelo de elementos finitos basado en peque˜nos elementos hexaedro. En esta imagen tridimensional, cada peque˜no cubo corresponde a un elemento finito. Cada elemento tiene unas propiedades físicoquímicas, correspondientes a hueso en este ejemplo, y está unido al resto de elementos finitos formando una malla. Derecha, mapa paramétrico de las tensiones nodales resultado de la simulación de compresión de la estructura trabecular. Valores elevados (codificados en rojo) indican tensiones nodales elevadas, es decir, regiones que se corresponden con un mayor riesgo de rotura.
  • Figura 1 Mapa de procesos para el establecimiento y validación de un biomarcador de imagen. En la parte izquierda de la figura se representan los ítems médico-asistenciales y en la derecha los metodológicos.
  • Figura 2 Proceso de extracción de información relevante mediante la creación de imágenes paramétricas
  • DICOM TAGS
  • I WANT TO CONFESS YOU THAT WE HAVE A DREAM….. FOR EXAMPLE WIHT HIGH SPECIALIZAD REPORTS
  • THIS IS OUR PROPOSAL AND THANS FOR YOUR ATTENTION
  • Maria de la Iglesia - CEIB: a R&D services in bioimaging oriented to integration of environments with her on cloud computing

    1. 1. INTRODUCTION • Introduction • Current status of bioimaging in the AVS (Valencia Health Agency) • CEIB Objectives • Project Overview • System parts • R&D • Conclusions
    2. 2. EVOLUTION OF BIOIMAGING
    3. 3. CURRENT STATUS OF AVS BIOIMAGE PROJECTProof of Concept of Centralized Medical Imaging Management (GIMC)
    4. 4. CURRENT STATUS OF AVS BIOIMAGE PROJECT PACS DEPARTAMENTALES Servicios DICOM Q/R Acceso WADO Bus SOA GIMC
    5. 5. CURRENT STATUS OF AVS BIOIMAGING PROJECT
    6. 6. CEIBReference Centre to provide excellence inbioimaging from a common repository Cardiology
    7. 7. CEIBReference Centre to provide excellence inbioimaging from a common repository Neurology
    8. 8. CEIBReference Centre to provide excellence inbioimaging from a common repository Angiography
    9. 9. CEIB WORKING LINESUse of an image biobank for R & D andtransferring specialized knowledge to the patientselectronic 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
    10. 10. CEIB GOALSDevelopment of an outstanding “search engine” throughcataloged 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.
    11. 11. CEIB GOALSInformation validation and quality controloValidation at the level of studies (protocols, alerts)oValidation at the level of data (standardization)oQuality control regarding to radiation doses by considering bothpatients and studies
    12. 12. CEIB GOALSImage 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
    13. 13. CEIB GOALSComputing 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
    14. 14. SYSTEM OVERVIEW. CURRENT INFRASTRUCTURESYSTEM AREA: ALSIS PLATFORM, HITACHICOMMUNICATION AREA: ARTERIASCEIB LABHOSPITAL PACS HITACHI Bus SOA Arterias Lab CEIB ALSIS
    15. 15. SYSTEM COMPONENTSGIMC Search Engine (SE) Anonymizer (ANOM) DICOM Morphing BET
    16. 16. SYSTEM OVERVIEW EHR CLOUD CEIB R & D GIMC BIKE GEBID
    17. 17. SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
    18. 18. SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
    19. 19. SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
    20. 20. SYSTEM COMPONENTSR & D BIOIMAGE CLINICAL TRIAL MANAGER SYSTEM (GEBID)
    21. 21. SYSTEM COMPONENTSBIOIMAGING KNOWLEDGE ENGINE (BIKE) Techniques
    22. 22. BIKE-OLOGIES Bike- Bike- Bike- Bike-Cardio Bike-Vascular Orthopaedics NeuroImaging Datamining Morphological Quantification of Diagnosis of Detection of analysis of Radiation Exposure cardiac function osteoporosis epileptogenic focus aneurysms Spine disease Dopamine Electrophysiology Virtual treatment diagnosis and transmission Quality Control planning treatment planning quantification BIKE-OLOGIAS BioImage Knowledge Engine
    23. 23. SYSTEM COMPONENTSBIKE-Postprocessing Angel Alberic. Cuantificación Quirón
    24. 24. SYSTEM COMPONENTSBIKE-Postprocessing: Computational ModelsMartí Bonmatí L, et al. Biomarcadores de imagen, imagen cuantitativa y bioingeniería. Radiología. 2011
    25. 25. SYSTEM COMPONENTSBIKE-Imaging: Quantification and Biomarkers
    26. 26. Martí Bonmatí L, et al. Biomarcadores deSYSTEM COMPONENTS imagen, imagen cuantitativa y bioingeniería. Radiología. 2011BIKE-Imaging: Feature Extraction
    27. 27. SYSTEM COMPONENTSBIKE-Datamining
    28. 28. R&D. WE HAVE A DREAMReturn the R & D through the EHR by the transmission of knowledge tothe patient
    29. 29. R&DReturn on R & D to the EHR by the transmission of knowledge to thepatient
    30. 30. R&DReturn on R & D to the EHR by the transmission of knowledge to thepatient
    31. 31. Title:CEIB Experience: A R&D cloud services in bioimaging oriented to integration of environments with EHRAbstract:Purpose:The EHR of the Valencia Health Service (Spain) offers highly specialized solutions. The purpose of this work is to present thecentralization of “Valencia Biobank of Medical Imaging” (GIMC). This project will allow R&D support for the scientific communitythrough 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 entirepopulation, are a sample of great value that will form the basis of knowledge for the future science. The defined architecture includes aSearch Engine, a platform to support the management of clinical trials with biomedical imaging (GEBID) and a BioimagingKnowledge Engine (BIKE).Results:Both CEIB and GIMC provide an ideal data source for analyzing the acquired image data. In particular, the following actions areprepared: development and validation of an Image Bank, a Decision Support Systems, an Imaging Biomarkers platform, VirtualCommunities 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 andcomputer 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 mainfinal objective of this process is that the results of R&D will be transferred to the patient, providing value-added elements to theirEHR.in bioimaging oriented to integration of environments with EHR THANKS FOR YOUR ATTENTION

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