A novel anatomical structure segmentation method of CT head images

Xiaojun Zang*, Jian Yang, Dongdong Weng, Yue Liu, Yongtian Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In this paper, a method is developed for anatomical structures segmentation based on CT head images. The segmented structure can be used for image-guided surgery navigations. In our method, intensity rescaling, region growing, fuzzy c-means and mathematical morphology are combined and used systematically. Due to the low contrast of the CT images, intensity rescaling is applied to the images to enhance the contrast. Region growing is used to extract the intracranial area from the enhanced images. Then, fuzzy c-means is adopted to segment the intracranial images of brain matter and cerebrospinal fluid (CSF). Mathematical morphology is used to correct the pre-calculated images and obtain accurate brain matter and CSF segmentations. The experiments show that the algorithm can obtain good brain matter and CSF segmentations from CT head images.

源语言英语
主期刊名2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
316-320
页数5
DOI
出版状态已出版 - 2010
活动2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010 - Gold Coast, QLD, 澳大利亚
期限: 13 7月 201015 7月 2010

出版系列

姓名2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010

会议

会议2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
国家/地区澳大利亚
Gold Coast, QLD
时期13/07/1015/07/10

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