Skull-Stripping Method for Brain MRI Using a 3D Level Set with a Speedup Operator

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Purpose: To extract the brain region from brain magnetic resonance (MR) images using a fast 3D level set method and a refinement process. Materials and Methods: The proposed method introduces a speedup operator to the conventional 3D level set method in order to accelerate the level set evolution. While the processing lime for brain extraction is reduced by the speedup operator, the accuracy of brain extraction is also improved by adopting a refinement process. Results: The speedup operator yielded a 75% reduction in the total iteration numbers for the synthesized volume. The proposed method was applied to several datasets and compared with previous methods, le, Brain Visa, BET, and Free Surfer. The proposed method provided a Jaccard index of 0.971 +/- 0.0114 for the Brain Web dataset, 0.864 +/- 0.035 for the IBSR dataset, and 0.9414 +/- 0.0517 for a self-produced dataset acquired with a 3T MRI system. Conclusion: Utilizing a speedup operator, the proposed method reduced the evolution time. Robust and accurate results for various datasets were obtained in experiments.
Publisher
WILEY-BLACKWELL
Issue Date
2011-08
Language
English
Article Type
Article
Keywords

FULLY-AUTOMATIC SEGMENTATION; CORTICAL THICKNESS; IMAGES; REGISTRATION; EXTRACTION; ALGORITHM; MODEL

Citation

JOURNAL OF MAGNETIC RESONANCE IMAGING, v.34, no.2, pp.445 - 456

ISSN
1053-1807
DOI
10.1002/jmri.22661
URI
http://hdl.handle.net/10203/99485
Appears in Collection
EE-Journal Papers(저널논문)
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