Difference between revisions of "2013 Project Week:WMH Segmentation for Stroke"

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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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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.
 
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Revision as of 18:40, 3 January 2013

Home < 2013 Project Week:WMH Segmentation for Stroke

WMH

  • white matter hyperintensity segmentation in stroke patients.

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.

Progress

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