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- Title
Automated knowledge-based detection of nonobstructive and obstructive arterial lesions from coronary CT angiography.
- Authors
Kang, Dongwoo; Slomka, Piotr J; Nakazato, Ryo; Arsanjani, Reza; Cheng, Victor Y; Min, James K; Li, Debiao; Berman, Daniel S; Kuo, C-C Jay; Dey, Damini
- Abstract
Visual analysis of three-dimensional (3D) coronary computed tomography angiography (CCTA) remains challenging due to large number of image slices and tortuous character of the vessels. The authors aimed to develop a robust, automated algorithm for unsupervised computer detection of coronary artery lesions.
- Publication
Medical physics, 2013, Vol 40, Issue 4, p041912
- ISSN
2473-4209
- Publication type
Journal Article
- DOI
10.1118/1.4794480