Difference between revisions of "2013 Project Week:WMH Segmentation for Stroke"
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Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]] | Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]] | ||
Image:WMH_T1.png| T1 images in stroke dataset. | Image:WMH_T1.png| T1 images in stroke dataset. | ||
| − | Image:WMHseg.png | left: FLAIR images, middle: manual delineation of | + | Image:WMHseg.png | left: FLAIR images, middle: manual delineation of relevant areas, right: manual WMH segmentation. |
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Revision as of 19:11, 3 January 2013
Home < 2013 Project Week:WMH Segmentation for Stroke
T1 images in stroke dataset.
left: FLAIR images, middle: manual delineation of relevant areas, right: manual WMH segmentation.
Key Investigators
- Adrian Dalca, Ramesh Sridharan, Polina Golland, MIT
- Natalia Rost, Jonathan Rosand, MGH
Project Description
Objective
We are developing methods for segmentation of white matter hyperintensity in FLAIR images of stroke patients. Specifically, WMH is to be localized in particular areas of the brain, as seen in a training set. This dataset is particularly challenging due to the low resolution (1mm x 1mm x 7mm) and with cropped fields of view in the given images.
Approach, Plan
- Find and apply appropriate registration method to register cropped, low resolution T1 scans
- Register T1 scans to FLAIR images with rigid registration
- Create mask of relevant areas for WMH segmentation from manual segmentations
- Investigate several known methods for segmentation of WMH segmentation using training images.
- Write thorough pipline for above steps.
