3D Segmentation In The Clinic: A Grand Challenge II at MICCAI 2008 - MS Lesion Segmentation
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1449
This document examines the application of a new parametric method on the segmentation of MS
lesions in brain sMRI, as applied to the data provided for the MS Lesion Segmentation Challenge at
MICCAI 2008. The method uses the vector image joint histogram, built over a training set, as an explicit
model of the feature vectors indicating lesion. The histogram is used to predict lesions in the test data by
labeling feature vectors consistent with lesion feature vectors in the training set. The results are evaluated
using STAPLE to compare against two separate human raters.

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plus Vector image joint histogram based segmentation by Martin Styner on 07-29-2008 for revision #1
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plus Review by Simon Warfield on 07-25-2008 for revision #1
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Keywords: segmentation, lesion, joint histogram, multiple sclerosis, MICCAI, challenge
Toolkits: ITK, CMake
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