A Novel Method for Segmentation of CT Head Images

A novel method for CT image segmentation of brain is proposed in this paper, with which, several regions that are suspicious of having pathological changes can be segmented rapidly and effectively. To avoid the affection of extra-cranial highlight pixels in the later processing, row scanning approac...

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Bibliographic Details
Published in2007 1st International Conference on Bioinformatics and Biomedical Engineering Vol. 1; pp. 717 - 720
Main Authors Wei, Kaiping, He, Bin, Zhang, Tao, Shen, Xianjun
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2007
Subjects
Biomedical imaging
Computed tomography
Computer science
Head
Image analysis
Image edge detection
Image segmentation
Matrix converters
Medical simulation
Morphology
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ISBN9781424411207
1424411203
ISSN2151-7614
DOI10.1109/ICBBE.2007.187

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Summary:A novel method for CT image segmentation of brain is proposed in this paper, with which, several regions that are suspicious of having pathological changes can be segmented rapidly and effectively. To avoid the affection of extra-cranial highlight pixels in the later processing, row scanning approach is introduced firstly to search for the boundary of the skull. Secondly, combined with morphological operator, intra-cranial area is extracted accurately. Finally, 2D Otsu threshold segmentation is implemented to identify areas of interest and the threshold is obtained through PSO algorithm. The result of simulation demonstrates the efficiency of our method.
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ISBN:9781424411207
1424411203
ISSN:2151-7614
DOI:10.1109/ICBBE.2007.187