A novel anatomical structure segmentation method of CT head images

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

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
Pages316-320
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010 - Gold Coast, QLD, Australia
Duration: 13 Jul 201015 Jul 2010

Publication series

Name2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010

Conference

Conference2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010
Country/TerritoryAustralia
CityGold Coast, QLD
Period13/07/1015/07/10

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