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Aerial Image Exploitation Change Detection Event Detection Object Tracking Region Classification Medical Image Analysis Automated Cancer Detection Automatic.

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Presentation on theme: "Aerial Image Exploitation Change Detection Event Detection Object Tracking Region Classification Medical Image Analysis Automated Cancer Detection Automatic."— Presentation transcript:

1 Aerial Image Exploitation Change Detection Event Detection Object Tracking Region Classification Medical Image Analysis Automated Cancer Detection Automatic Pathology Quantification Automatic Segmentation Image-Guided Surgery Computer Aided Forensics Image-Guided Manufacturing Optical Gauging Optical Inspection Large-Part Metrology Automatic Defect Detection Automated Video Analysis Complex Scene Decomposition Market Intelligence Behavior Recognition 3D Reconstruction Ontology-Based Understanding

2 National Alliance for Medical Image Computing http://na-mic.org GE Research NA-MIC Activities Dart 2 – released in spring 2006 ITK – orientations, statistical distributions Slicer3 – execution model, example modules

3 National Alliance for Medical Image Computing http://na-mic.org Dart 2 Released in spring 2006 Enterprise environment under investigation Now used by GE Healthcare to test imaging platforms (XJT, AW)

4 National Alliance for Medical Image Computing http://na-mic.org Execution model User Desktop AlgorithmsITKVTK Slicer Modules VTK Apps Using ITK Scripts of Slicer Mods Batch Programs Non-NAMIC Cmd tools LONI Pipeline Birn Grid Data/Compute Slicer 3.0 Internal application framework using a Slicer 3 plugin

5 National Alliance for Medical Image Computing http://na-mic.org Slicer 3 Modules CommandLineModule –Add –AffineRegistration –BSplineDeformableRegistration –CheckerBoard –ConfidenceConnected –CurvatureAnisotropicDiffusion –GEDicom2NRRD –GradientAnisotropicDiffusion –GrayscaleFillHoleImageFilter –GrayscaleGrindPeakImageFilter –GrayscaleModelMaker –HistogramMatching –ImageReadDicomWrite –LinearRegistration –MedianImageFilter –OtsuThresholdImageFilter –OtsuThresholdSegmentation –ResampleVolume –Subtract –VotingBinaryHoleFillingImageFilter

6 National Alliance for Medical Image Computing http://na-mic.org Slicer 3 usage at GE Medical and biological image analysis Under consideration for contrast agent development Support research in explosive detection (baggage and cargo) May be available as an unsupported research tool on GE MR host platforms.

7 National Alliance for Medical Image Computing http://na-mic.org NA-MIC Team Bill Lorensen, MS (RPI), 39 years, Core 2 PI, software engineering, Slicer 3 architecture Jim Miller, PhD (RPI), 9 years, Site PI, software testing, segmentation, Slicer 3 execution model Dan Blezek, PhD (Mayo), 7 years, software testing, MRI, registration, Slicer 3 execution model Xiaodong Tao, PhD (JHU), 2 years, MRI, DTI, Slicer 3 data model

8 National Alliance for Medical Image Computing http://na-mic.org Publications D. Blezek, J. Miller. "Atlas Stratification“. Medical Image Computing and Computer Assisted Intervention 2006 (MICCAI). LNCS 4190, pp. 712–719. X. Tao and J. V. Miller. "A Method for Registering Diffusion Weighted Magnetic Resonance Images“. Medical Image Computing and Computer Assisted Intervention 2006 (MICCAI). LNCS 4191, pp. 594-602.


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