Medical Image Processing MediGRID. GRID-Computing für Medizin und Lebenswissenschaften

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Christa Dresdner
vor 8 Jahren
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1 Medical Image Processing in

2 Medical Image Processing Image Processing is of high importantance for medical research, diagnosis and therapy High storage capacity Volume data, high resolution images, screening High computing power large datasets, increase of accuracy High variety of applications specialized processing steps Complex workflows Image processing chains Seite 2

images, screening High computing power large datasets, increase of accuracy High

3 Grid Computing Grid Computing is the collaboration of distributed resources across institutional borders Scalable storage Scalable computing power Heterogeneous hardware Distributed administration Service oriented architecture Grid Computing is a promising solution for increasing demands on medical image processing Seite 3

Heterogeneous hardware Distributed administration Service oriented architecture

4 Medical Grids Medical Grids demand special requirements with respect to mere computing Grids High security and safety Patient data, traceability of processing steps User friendliness User accustomed used to graphical user interfaces Virtualization of grid resources Heterogeneous data and applications Current research on modern Grids is working to overcome these barriers Seite 4

accustomed used to graphical user interfaces Virtualization of grid resources Heterogeneous

5 MediGrid MediGrid builds an infrastructure for medicine and life sciences Seite 5

6 Image Processing Module The image processing module implements representative applicaton scenarios in the MediGrid Current research projects High benefit from grid, anonymized data Main image processing components Preprocessing, registration, segmentation, classification, numerical simulations Main tools and programming languages used in research Matlab, itk/vtk, c++, java,... Main standards and integration of external resources DICOM, PACS, Image Retrieval Seite 6

registration, segmentation, classification, numerical simulations Main tools and programming languages used in

7 Functional MRI Analysis Functional MRI allows for localization of activated brain regions. Statistical analysis over many repetitions of activation experiments high data volume and transfer Preprocessing on single or few image level Smoothing of data Volume reconstruction Atlas-based registration Standardsoftware SPM, based on Matlab Seite 7

Statistical analysis over many repetitions of activation experiments high data volume

8 Virtual Vascular Surgery Hemodynamic simulations based on a patient s vascular geometry allows for virtual surgery of cardiovascular deseases Segmentation of vascular geometry from CT images interactive segmentation and virtual surgery Numerical simulation of blood flow time consuming processing step initial parameters/geometry Visualization of results Blood flow, pressure field Seite 8

interactive segmentation and virtual surgery Numerical simulation of blood flow time consuming

9 Computer Aided Prostate Cancer Diagnosis Location of tissue probes within the prostate volume supports prostate cancer diagnosis and therapy planning Location of biopsy needles in TRUS images Segmentation on 2D sequences Location of 2D images within the prostate volume 2D-3D registration time - accuracy Complex workflow further processing steps image retrieval documentation database Seite 9

Segmentation on 2D sequences Location of 2D images within the prostate volume 2D-3D registration

10 Middleware Solutions Existing middleware is adapted and where necessary modified or extended. New components are developed. Basic middleware: Globus TK 4 Mature security concept service oriented architecture Data management Images: grid-dicom Diverse data: SRB Metadata: OGSA DAI Seite 10

Basic middleware: Globus TK 4 Mature security concept service oriented

11 Middleware Solutions Workflow management GWES D-Grid resource description language (DGRDL) TRUS - Bildsequenz Region of Interest Detektierte Nadel Seite 11

12 Middleware Solutions griddicom 1 GWES 1 2 OGSA-DAI Service griddicom Meta data OGSA-DAI SRB-Zone 5 6 Computing Resources Seite 12

13 Web based Access User Developer Gensequenzanalyse Admin fmri Grid Certificate SNP Selection Bioinformatics Portal Medical Imaging TRUS Ontologiezugriff Ontology Access Hemodynamics Credential Management Standard Grid Portlets Developersupport Administration Resource Monitoring File Browser Workflow Management D-GRDL Metadaten- Erstellung D-GRDL Metadaten- Management Resource Management Seite 13

Management Standard Grid Portlets Developersupport Administration Resource Monitoring File Browser

14 Results and Discussion The scenarios could be implemented successfully in the testbed All time consuming steps are implemented coarse-grained parallelization Workflow management load dependend scheduling Userfriendly access via application specific portlets Guidance through processing steps Limitations and further challenges Interactive image processing Enhanced Security Seite 14

dependend scheduling Userfriendly access via application specific portlets Guidance through

15 Further informationen: Internet: Portal: portal.medigrid.de

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