Difference between revisions of "DBP:Harvard:Software:Minutes:12-6-06"
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1. Presentation by Santiago - "Optimal filtering and noise estimation on DTI data" (slides are attached in lmmse.pdf) | 1. Presentation by Santiago - "Optimal filtering and noise estimation on DTI data" (slides are attached in lmmse.pdf) | ||
| − | + | * We will try to apply this filtering to 1.5T data for fornix and cingulum tractography | |
| − | 2. Update from Marc on EPI outlier removal | + | 2. Update from Marc on EPI outlier removal |
| − | + | *Our pipeline for new data will consist of: | |
| − | Our pipeline for new data will consist of: | ||
# Scanning | # Scanning | ||
# Resampling | # Resampling | ||
| Line 20: | Line 19: | ||
3. 3T SPGRs | 3. 3T SPGRs | ||
| − | + | * The new SPGRs have an artifact that is preventing measurement of cortical thickness in Freesurfer (but segmentation is still possible) | |
| − | + | * Sylvain will try some bias field correction on these images | |
4. Clustering in Slicer | 4. Clustering in Slicer | ||
| − | + | * The clustering part of DTMRI module is not consistent--there is some stochastic element that produces different results when using the same settings multiple times | |
| − | + | * Marek will contact Lauren about this issue. | |
Latest revision as of 16:38, 3 January 2007
Home < DBP:Harvard:Software:Minutes:12-6-06DTI Meeting Minutes | December 6, 2006
Present: Doug, Marek, Sylvain, CF, Mahnaz, Santiago, Gudrun, Jenny, Katharina, Marc
1. Presentation by Santiago - "Optimal filtering and noise estimation on DTI data" (slides are attached in lmmse.pdf)
- We will try to apply this filtering to 1.5T data for fornix and cingulum tractography
2. Update from Marc on EPI outlier removal
- Our pipeline for new data will consist of:
- Scanning
- Resampling
- Outlier removal
- Noise estimation/Filtering
- Distortion correction (can be done at any point, only looks at the distortion maps) - this is on hold until we get the software from NanQuei
3. 3T SPGRs
- The new SPGRs have an artifact that is preventing measurement of cortical thickness in Freesurfer (but segmentation is still possible)
- Sylvain will try some bias field correction on these images
4. Clustering in Slicer
- The clustering part of DTMRI module is not consistent--there is some stochastic element that produces different results when using the same settings multiple times
- Marek will contact Lauren about this issue.
