aerial image exploitation change detection event detection object tracking
DESCRIPTION
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. - PowerPoint PPT PresentationTRANSCRIPT
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
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
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)
National Alliance for Medical Image Computing http://na-mic.org
Execution model
UserDesktopAlgorithms ITK VTK Slicer
Modules
VTK AppsUsing ITK
Scripts ofSlicer Mods
BatchPrograms
Non-NAMICCmd tools
LONIPipeline
Birn GridData/Compute
Slicer 3.0
Internal application framework using a Slicer 3 plugin
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
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.
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
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.