Difference between revisions of "Algorithm:MGH"
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=== In Development === | === In Development === | ||
− | '''Optimal path calculator''' | + | '''Optimal path calculator (Poistats)''' |
* '''Use case'''<nowiki>: 'Specify 2 points in a diffusion image and tell how connected they are.' </nowiki> | * '''Use case'''<nowiki>: 'Specify 2 points in a diffusion image and tell how connected they are.' </nowiki> | ||
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* Impact: Medium-High | * Impact: Medium-High | ||
− | # Implement algorithm in Matlab (Ziyan) | + | # Implement algorithm in Matlab (Ziyan) : '''done''' |
# Test/optimize on group data (Ziyan): '''in progress''' | # Test/optimize on group data (Ziyan): '''in progress''' | ||
− | # Port to diffusion toolkit (Tuch) | + | # Port to diffusion toolkit (Tuch) : '''queued''' |
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<br />'''Adding NRRD I/O to Freesurfer''' | <br />'''Adding NRRD I/O to Freesurfer''' | ||
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* Impact: Medium-High | * Impact: Medium-High | ||
− | # Implemented in C and | + | # Implemented in C and distribute with the FreeSurface Package: '''done''' |
<br />'''Cortical Surface Shape Analysis Based on Spherical Wavelets''' | <br />'''Cortical Surface Shape Analysis Based on Spherical Wavelets''' |
Revision as of 16:02, 2 April 2007
Home < Algorithm:MGHCoordination
Projects
In Development
Optimal path calculator (Poistats)
- Use case: 'Specify 2 points in a diffusion image and tell how connected they are.'
- Difficulty: High
- Impact: High
See AHM 2006:ProjectsDTIPathOfInterest
Statistical power benefit of ITK nonlinear registration
- Use case: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons'
- Difficulty: Low-Medium
- Impact: Medium
See: Engineering:Project:Non-rigid_EPI_registration
Automatic segmentation of DTI using Spectral Clustering
- Use case: 'Automatically segment DTI image.'
- Difficulty: Medium-High
- Impact: Medium-High
- Implement algorithm in Matlab (Ziyan) : done
- Test/optimize on group data (Ziyan): in progress
- Port to diffusion toolkit (Tuch) : queued
Adding NRRD I/O to Freesurfer
- Use case: 'Open a NRRD volume in FreeSurfer.'
- Use case: 'Convert an MGH volume to a NRRD volume with Freesurfer.'
- Difficulty: Low
- Impact: Medium
- Write unit tests for new IO functions (Snyder): in progress
- Add NrrdIO libraries from Teem to FS source tree, build with autoconf (Snyder): done
- Write and test FS NRRD IO functions (Snyder, Kindlmann): in progress
- Develop approriate headers for MGH DWI data (Snyder): queued
- Automate header generation when possible (Snyder): queued
Replacing FreeDiffusion components with NA-MIC equivalents
- Difficulty: Medium-High
- Impact: Low
- Write regression tests: done
- Identify componenets to replace: queued
- Replace and test: queued
Intensity Renormalization for Improved Brain MR Image Segmentation across Scanner Platforms
- Use Case: 'Atlas-based fully automated whole brain segmentation'
- Difficulty: Medium-High
- Impact: Medium-High
- Implemented in C and distribute with the FreeSurface Package: done
Cortical Surface Shape Analysis Based on Spherical Wavelets
Geometrically-Accurate Topology-Correction of Cortical Surfaces using Non-Separating Loops
- queued - step identified/specd
- in progress - step in progress
- done - step complete
Done
QBALL visualization
- Use case: 'Visualize q-ball data in Slicer.'
- Difficulty: Low
- Impact: Medium
- Implement ODF polygon decimation algorithm (Tuch) : done
- Port decimation fileformat into FreeDiffusion Visualizer (Snyder) : done
- Port QBALL/ODF visualization into Slicer (Estepar/Snyder/Kindlmann/Tuch/Westin): done
- Implement (Estepar): done
- Test on mock data set (Estepar): done
- Demo for real data set (Estepar/Snyder/Kindlmann): done
Tensor-based group comparison (Cramer test)
- Use case: 'Compare DTI images between groups using the full tensor information.'
- Difficulty: Medium
- Impact: Medium-High
- Implement in R (Whitcher/Tuch) : done
- Power analysis (Whitcher) : done
- Port to Matlab (Whitcher) : done
- Validate Matlab version against R (Whitcher) : done
- Test on group data : done
- Release bootstrap-only version to test group: done
- Port FFT method from R to matlab (Whitcher): done
- Implement FFT method in diffusion development environment (Tuch): done