Automatic Brain Extraction for T1-Weighted Magnetic Resonance Images Using Region Growing

Yu Lung Ho, Wei Yang Lin, Chia Ling Tsai, Cheng Chia Lee, Chih Yang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we propose a novel method for extracting brain region from T1-weighted magnetic resonance imaging. Our proposed method is based on finding a seed point which is located on brain tissue and then perform region growing. In particular, we firstly analyze intensity distributions of different cerebral tissues (including brain, cerebrospinal fluid, scalp and marrow) at middle height. We also measure the distance from image center to brain edge at the same height of brain scan. In the experimental validation, we have conducted experiment on the OASIS dataset and perform comparison with the state-of-The-Art methods. Our propose method achieves the best performance on the OASIS dataset.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages250-253
Number of pages4
ISBN (Electronic)9781509038336
DOIs
StatePublished - 16 Dec 2016
Event16th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2016 - Taichung, Taiwan
Duration: 31 Oct 20162 Nov 2016

Publication series

NameProceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016

Conference

Conference16th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2016
Country/TerritoryTaiwan
CityTaichung
Period31/10/162/11/16

Keywords

  • Brain extraction
  • Magnetic resonance image
  • Region growing

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