DocumentCode :
3727590
Title :
A study on CT aorta segmentation using vessel enhancement diffusion filter and region growing
Author :
Wei He; Yanni Cao; Yanfang Li; Yu Miao; Weili Shi; Fei He; Fei Yan; Zhengang Jiang; Huimiao Zhang
Author_Institution :
School of Computer Science and Technology, Changchun University of Science and Technology, No.7089, Weixing, Road, China
fYear :
2015
Firstpage :
939
Lastpage :
943
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.
Keywords :
"Image segmentation","Biomedical imaging","Computed tomography","Three-dimensional displays","Eigenvalues and eigenfunctions","Noise measurement","Filtering algorithms"
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2015 11th International Conference on
Electronic_ISBN :
2157-9563
Type :
conf
DOI :
10.1109/ICNC.2015.7378117
Filename :
7378117
Link To Document :
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