A Skull-Stripping Filter for ITK | Zendy

Stefan Bauer | Zendy; Thomas Fejes | Zendy; Mauricio Reyes | Zendy

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A 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.

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