2013 Winter Project Week:MABS

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Home < 2013 Winter Project Week:MABS

Key Investigators

  • Greg Sharp, Nadya Shusharina, MGH
  • Polina Golland, MIT

MABS is a program for multi-atlas based segmentation. It uses a database of multiple, segmented input images to produce a segmented result on a new image. The database is first "trained" to improve both accuracy and speed. Then, when given a new case, examples are selected from the atlas, registered to the new case, and then voting is performed to create an output segmentation.

Objective

  • Create command line module for multi-atlas based segmentation
  • If time allows, begin working on loadable module

Approach, Plan

  • A command line module was started in Summer project week, but it is not complete
  • It needs a way to specify the atlas and training directories, and specify output
  • To start with, we will export as Slicer labelmap, then move to RTSTRUCT after converting to loadable

Progress

  • First results!
  • Segmented the brainstem using an atlas of two subjects.
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