Segmentation Method of The Aortic Arch Based on Quadratic Clustering

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Segmentation Method of The Aortic Arch Based on Quadratic Clustering

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[1]Chen Zhongzhong,Yang Yaru,Zhang Jianfei,et al.Segmentation Method of The Aortic Arch Based on Quadratic Clustering[J].Journal of Zhengzhou University (Engineering Science),2018,39(03):40-44.[doi:10.13705/j.issn.1671-6833.2017.06.025]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 39 Number of periods: 2018 03 Page number: 40-44 Column: Public date: 2018-05-10

Title:: Segmentation Method of The Aortic Arch Based on Quadratic Clustering

Author(s):: Chen Zhongzhong1; Yang Yaru1; Zhang Jianfei1; Wang Qianqian1; Zhu Huiyu2; 1. School of Mechanical Engineering, Zhengzhou University, Zhengzhou, Henan, 450001; 2. Productivity Promotion Center of Henan Province, Zhengzhou, Henan, 450001

Keywords:: meanshift; hierarchical clustering; twice clustering; aortic arch; 3D reconstruction

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2017.06.025

Abstract:: A twice clutering metyhod(MAHC) was proposed based on meanshift and hirearchical. Firstly, in the CIE(LUV) color space, meanshift method is used for the first clustering to realize image smoothing and initial clustering. Then, the mean of each region was used as the initial value for the sceond clustering. And hierarchy clustering was used for the second clustering, which would be stopped until the clustering effect reached the expected effect. Finally, the mean of the aorta region was used as the seed point in the region growing, and the imaga segmentation was finished. The MSHC method could improve the efficiency and effect of image segmentation, and the aortic arch model had a strong visualiuzing and realistic sense, which could cleariy show the three-dimensional structure.

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Last Update: 2018-05-03