Open AccessA Skull-Stripping Filter for ITK
Author(s) -
Stefan Bauer,
Thomas Fejes,
Mauricio Reyes
Publication year - 2013
Publication title -
the insight journal
Language(s) - English
Resource type - Journals
ISSN - 2327-770X
DOI - 10.54294/dp4mfp
Subject(s) - computer science , filter (signal processing) , usability , robustness (evolution) , stripping (fiber) , source code , artificial intelligence , computer vision , human–computer interaction , pattern recognition (psychology) , engineering , programming language , biology , biochemistry , electrical engineering , gene
Skull-stripping (or brain extraction) is an important pre-processing step in neuroimage analysis. This document describes a skull-stripping filter implemented using the Insight Toolkit ITK, which we named itk::StripTsImageFilter. It is a composite filter based on existing ITK classes. The filter has been implemented with usability, robustness, speed and versatility in mind, rather than accuracy. This makes it useful for many pre-processing tasks in neuroimage analysis. This paper is accompanied by the source code, input data and a testing environment.