Automatic segmentation and classification of human brain image based on a fuzzy brain atlas

Ou Tan, Chunguang Jia, Huilong Duan, Weixue Lu

Research output: Contribution to journalConference articlepeer-review

Abstract

It is difficult to automatically segment and classify tomograph images of actual patient's brain. Therefore, many interactive operations are performed. It is very time consuming and its precision is much depended on the user. In this paper, we combine a brain atlas and 3D fuzzy image segmentation into the image matching. It can not only find out the precise boundary of anatomic structure but also save time of the interactive operation. At first, the anatomic information of atlas is mapped into tomograph images of actual brain with a two step image matching method. Then, based on the mapping result, a 3D fuzzy structure mask is calculated. With the fuzzy information of anatomic structure, a new method of fuzzy clustering based on genetic algorithm is used to segment and classify the real brain image. There is only a minimum requirement of interaction in the whole process, including removing the skull and selecting some intrinsic point pairs.

Original languageEnglish (US)
Pages (from-to)508-511
Number of pages4
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3545
StatePublished - Dec 1 1998
EventProceedings of the 1998 International Symposium on Multispectral Image Processing, ISMIP'98 - Wuhan, China
Duration: Oct 21 1998Oct 23 1998

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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