2013 Project Week:Imaging Genetic for Stroke
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Home < 2013 Project Week:Imaging Genetic for Stroke
T1 images in stroke dataset.
left: FLAIR images, middle: manual delineation of 'interesting' areas, right: manual WMH segmentation.
Key Investigators
- Adrian Dalca, Kayhan Batmanghelich, Polina Golland, MIT
- Natalia Rost, Jonathan Rosand, MGH
Project Description
Objective
We want to expand and explore a imaging genetics model developed in our lab for (potentially continuous) phenotypes in stroke patients. Combined with the WMH Segmentation
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.
