Morphological tubular extraction applied to coronary artery reconstruction in CT-images

被引：0

作者：

Luengo-Oroz, M. A. ^{[1
]}

Ledesma-Carbayo, M. J. ^{[1
]}

Gomez-Diego, J. J. ^{[2
]}

Garcia-Fernandez, M. A. ^{[2
]}

Desco, M. ^{[2
]}

Santos, A. ^{[1
]}

机构：

[1] Univ Politecn Madrid, ETSIT, Biomed Image Technol Lab, Av Complutense S-N, Madrid, Spain

[2] Hosp Gen Univ Gregorio Maranon, Madrid, Spain

来源：

PROCEEDINGS OF THE FIFTH IASTED INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING | 2007年

关键词：

coronary tree; multi-slice computer tomography; segmentation; mathematical morphology;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an algorithm devoted to the reconstruction of the coronary tree from Cardiac Multislice CT data sets. Quantitative measurement of this segmentation may help the diagnosis and treatment of ischemic heart disease. The algorithm is based on morphological grayscale reconstruction through 2D slice images and overall 3D segmentation of the coronary artery tree. The method has been validated in 9 CT-datasets with satisfactory results.

引用

页码：391 / 395

页数：5

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