3D reconstruction of carotid artery in B-mode ultrasound image using modified template matching based on ellipse feature

被引:1
|
作者
Sunarya, I. Made Gede [1 ,2 ]
Yuniarno, Eko Mulyanto [1 ,3 ]
Sardjono, Tri Arief [1 ,4 ]
Sunu, Ismoyo [5 ]
van Ooijen, P. M. A. [6 ]
Purnama, I. Ketut Eddy [1 ,3 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Elect Engn, Surabaya, Indonesia
[2] Univ Pendidikan Ganesha, Dept Informat Engn Educ, Singaraja, Indonesia
[3] Inst Teknol Sepuluh Nopember, Dept Comp Engn, Surabaya, Indonesia
[4] Inst Teknol Sepuluh Nopember, Fac Elect Technol, Dept Biomed Engn, Surabaya, Indonesia
[5] Univ Indonesia, Med Fac, Dept Cardiol & Vasc Med, Jakarta Barat, Indonesia
[6] Univ Groningen, Univ Med Ctr Groningen, Dept Rehabil Med Radiol, Ctr Med Imaging, Groningen, Netherlands
关键词
Carotid artery; 3D reconstruction; ellipse feature; segmentation; 3D visualisation; LUMEN SEGMENTATION;
D O I
10.1080/21681163.2019.1692235
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Detection of vascular areas using B-mode ultrasound is required for automated applications such as registration and navigation in medical operations. The limitations of Ultrasound imaging are the requirement of sonographer's skills, expertise, and also knowledge when making data acquisition. It also influences the quality of the images. Carotid atherosclerosis can be treated with carotid artery stenting. The starting point of needle injection cannot be determined with certainty. The position of the arteries is in the body, therefore, determining the starting point of needle injection is done by estimation only and cannot be certainly determined. To be able to determine it, the first step needed is to determine the location of the carotid artery. We propose a 3D reconstruction of carotid artery using a modified template matching based on ellipse feature to determine it. It is processed using the procedure of data acquisition, preprocessing, segmentation, outlier selection of ellipse parameter fitting, visualisation. The proposed procedure with preprocessing produces the highest accuracy compared to the template matching method and the Hough Circle method with an accuracy value of 99.41% and has the smallest standard deviation value of 1.05. The best polynomial fitting results for all data is the polynomial equation on 22nd order with the mean error value of 0.26303.
引用
收藏
页码:301 / 312
页数:12
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