2009 Summer Project Week-FastMarching for brain tumor segmentation

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  Project Week Main Page

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  Falcine meningioma segmentation

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  Convexity meningioma segmentation

Key Investigators

• BWH: Andriy Fedorov
• GeorgiaTech: TBD

Objective

We will investigate the currently available algorithms and tools for fast marching segmentation, and study their applicability to the problem of segmenting meningiomas in contrast-enhanced brain MRI.

The key requirements to the segmentation approach are naturally accuracy, but also simplicity of initialization and acceptable speed for interactive analysis.

Approach, plan

We will evaluate the fast marching segmentation methods developed by the GeorgiaTech collaborators on clinical meningioma MRI data. A set of anonymized images representing meningiomas of various appearance will be used for testing. Based on the results of the evaluation, decisions will be made about the most appropriate method to be implemented as a Slicer module.

Progress

FastMarchingSegmentation module by Eric Pichon was ported into Slicer3.