RSNA2012 Planning
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Revision as of 14:57, 20 August 2012 by Fedorov (talk | contribs) (→List of Slicer Modules involved in RSNA tutorials & demos)
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Quantitative Imaging Reading Room
Tentative list of demonstrations for the RSNA 2012 Slicer booth. Needs further development and testing Note: RSNA demo machines will need nvidia graphics cards to get GPU Volume Rendering
Nb | DEMO | Datasets | Notes | Tools | Slicer Modules |
---|---|---|---|---|---|
0 | 3D Visualization of DICOM images for Radiology Applications | RSNA datasets | 3D Visualization for Radiology Applications | Compare View, Clipping, Save, Restore, Scene Views, Dicom studies sorting, Dicom networking | Data, Volumes, Models, Scene Views |
1 | Data Loading and Visualization | Slicer3Visualization Data | Slicer4Visualization Tutorial | Compare View, Clipping, Save, Restore, Scene Views, Dicom studies sorting, Dicom networking (?) | Data, Volumes, Models, Scene Views |
2 | MRI-based topographic parcellation of human brain | EM Segmenter Data | registration, segmentation EMSegmenter Tasks | EM Segmenter | EMSegmenter |
3 | Volume Rendering #1 Head | Head CT Scan (Osirix Manix Dataset) | show cropping, transfer functions, GPU, slice composite view, Annotations | Volume Rendering and Annotations | Volume Rendering, Annotations, Scene Views |
4 | Volume Rendering #2 Abdomen | Abdominal CT scan with AAA (Osirix Panoramix Dataset) | show cropping, transfer functions, GPU, slice composite view, Annotations | Volume Rendering and Annotations | Volume Rendering, Annotations, Scene Views |
5 | Volume Rendering #3 Thorax | Thoracic CT scan | show cropping, transfer functions, GPU, slice composite view, Annotations | Volume Rendering and Annotations | Volume Rendering, Annotations, Scene Views |
6 | Traumatic Brain Injury Case Analysis | TBI Demo Data (UCLA) | TBI tutorial | ABC Segmentation, Model Maker, Editor, Annotations | Data, ABC Segmentation, Model Maker, Editor, Annotations, Scene Views |
7 | Radiotherapy | Plastimatch Dose Warping Data (MGH) | Plastimatch Tutorial | Plastimatch, DVH extension (Csaba) | Data, Plastimatch Extension: DICOM/DICOM-RT Import, DICOM/DICOM-RT Export, B-Spine Deformable Registration,XFORMWARP Warping with transform Transforms, |
8 | White matter exploration for neurosurgical planning | White Matter Exploration dataset | Neurosurgical planning Tutorial] | Diffusion ( Estimation, Tractography, Fiducial Seeding), Editor, Model Maker | Data, Volumes, Editor, Fiducials, Diffusion Tensor Estimation, Diffusion Tensor Scalar Measurements, Labelmap Seeding, Tractography Fiducial Seeding, Tractography Display |
9 | Longitudinal analysis of meningioma growth | Change Tracker Data are part of the tutorial | Quantitative Imaging Tutorial | Change Tracker, Compare Views, Volume Rendering, CropVolume, Crosshairs, BRAINSFit | Change Tracker, Volume Rendering, BRAINSFit, CropVolume |
10 | Image-guided prostate interventions | Prostate Data updated for Slicer4, in progress Can load RSNA2010 demo scene, mostly working, see [1] | Pre-op/Intra-op registration; Use Case Demo Prostate Data | Linked Viewing | Annotations, Models, Crosshairs, CompareViews |
11 | Brain Atlas | NAC Multi-modality MRI-based Atlas of the Brain | Work in progress - atlases are being updated | Linked Viewing | Data, Volumes, Models, Scene Views |
12 | Abdomen Atlas | Knee Atlas | Work in progress - atlases are being updated | Linked Viewing | Data, Volumes, Models, Scene Views |
13 | Knee Atlas Atlas | Abdominal Atlas | Work in progress - atlases are being updated | Linked Viewing | Data, Volumes, Models, Scene Views |
List of Slicer Modules involved in RSNA tutorials & demos
- Data
- Welcome to Slicer
- Volumes
- Models
- Scene Views
- Annotations
- Volume Rendering
- Editor
- Model Maker
- Diffusion Tensor Estimation
- Diffusion Tensor Scalar Measurements
- Tractography Labelmap Seeding
- Tractography Fiducial Seeding
- Tractography Display
- BRAINSTools
- Change Tracker
- CropVolume
- Extensions:
- ABC
- Plastimatch
- EMSegmenter
- Skull Stripper
- Reporting
- Documentation: We need all core modules reasonably well documented.