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Segmentation of Skull-infiltrated Tumors Using ITK: Methods and Validation

Popovic, Aleksandra, Engelhardt, Martin, Radermacher, Klaus
Helmholtz Institute for Biomedical Engineerning, RWTH Aachen University
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/21
New: Prefer using the following doi: https://doi.org/10.54294/q9va9k
Published in The Insight Journal - 2005 MICCAI Open-Source Workshop.
Submitted by Aleksandra Popovic on 2005-08-01T16:29:18Z.

Methods for segmentation of skull infiltrated tumors in Computed Tomography (CT) images using Insight Segmentation and Registration Toolkit ITK (www.itk.org) are presented. Pipelines of filters and algorithms from ITK are validated on the basis of different criteria: sensitivity, specificity, dice similarity coefficient, Chi-squared, and Hausdorff distance measure. The method to rate segmentation results in relation to validation metrics is presented together with analysis of importance of different goodness measures. Results for one simulated dataset and three patient are presented.