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| − | | + | #REDIRECT [[2013 Project Week:WMH Segmentation for Stroke]] |
| − | WMH
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| − | <gallery>
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| − | Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
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| − | Image:WMHseg.png| white matter hyperintensity segmentation in stroke patients.
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| − | </gallery>
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| − | ==Key Investigators==
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| − | * Adrian Dalca, Ramesh Sridharan, Polina Golland, MIT
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| − | * Natalia Rost, Jonathan Rosand, MGH
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| − | | |
| − | ==Project Description==
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| − | <div style="margin: 20px;">
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| − | <div style="width: 27%; float: left; padding-right: 3%;">
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| − | <h3>Objective</h3>
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| − | We are developing methods for segmentation of white matter hyperintensity in FLAIR images of stroke patients. The particular challenge here is the specific localization of "useful" WMH in images that are otherwise lower resolution (1mm x 1mm x 7mm) and with cropped fields of view.
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| − | </div>
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| − | <div style="width: 27%; float: left; padding-right: 3%;">
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| − | <h3>Approach, Plan</h3>
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| − | * Find and apply appropriate registration method to register cropped, low resolution T1 scans
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| − | * Register T1 scans to FLAIR images with rigid registration
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| − | * Create mask of relevant areas for WMH segmentation from manual segmentations
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| − | * Investigate several known methods for segmentation of WMH segmentation using training images.
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| − | * Write thorough pipline for above steps.
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| − | </div>
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| − | <div style="width: 27%; float: left; padding-right: 3%;">
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| − | <h3>Progress</h3>
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| − | *
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| − | </div>
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| − | </div>
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