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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei He Yanni Cao Yanfang Li Yu Miao Weili Shi Fei He Fei Yan Zhengang Jiang Huimiao Zhang |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China (Wei He; Yanni Cao; Yanfang Li; Yu Miao; Weili Shi; Fei He; Fei Yan; Zhengang Jiang) || Dept. of Radiol., First Hosp. of Jilin Univ., Changchun, China (Huimiao Zhang) |
| Abstract | Medical imaging in clinical diagnoses and treatment has been increasingly important, and CT scan has been applied more widely. It is important to extract blood vessels structure for improving planning and navigating in interventional procedures. However, the complexity of vascular structures and the limitation of angiography equipment make vessel segmentation from CT images more challenging. A method for extracting abdominal aorta from CT images is proposed based on vessel enhancing diffusion filters and three-dimensional region growing algorithm. In order to certify the proposed method, a group of clinical CT image series is used and the results show that the proposed method is an effective way for improving the accuracy of abdominal aorta segmentation. |
| Starting Page | 939 |
| Ending Page | 943 |
| File Size | 833247 |
| Page Count | 5 |
| File Format | |
| ISSN | 21579563 |
| e-ISBN | 9781467376792 |
| DOI | 10.1109/ICNC.2015.7378117 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Three-dimensional displays Computed tomography vessel enhancement algorithm vessel segmentation Filtering algorithms Eigenvalues and eigenfunctions Noise measurement region grow Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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