title: Detection, grading and classification of coronary stenoses in computed tomography angiography.
abstract: Recently conducted clinical studies prove the utility of Coronary Computed Tomography Angiography (CCTA) as a viable alternative to invasive angiography for the detection of Coronary Artery Disease (CAD). This has lead to the development of several algorithms for automatic detection and grading of coronary stenoses. However, most of these methods focus on detecting calcified plaques only. A few methods that can also detect and grade non-calcified plaques require substantial user involvement. In this paper, we propose a fast and fully automatic system that is capable of detecting, grading and classifying coronary stenoses in CCTA caused by all types of plaques. We propose a four-step approach including a learning-based centerline verification step and a lumen cross-section estimation step using random regression forests. We show state-of-the-art performance of our method in experiments conducted on a set of 229 CCTA volumes. With an average processing time of 1.8 seconds per case after centerline extraction, our method is significantly faster than competing approaches.
authors: Image Analytics and Informatics, Corporate Technology, Siemens AG, Erlangen, Germany.
authors: B Michael
authors: BM
authors: Kelm
authors: Sushil
authors: S
authors: Mittal
authors: Yefeng
authors: Y
authors: Zheng
authors: Alexey
authors: A
authors: Tsymbal
authors: Dominik
authors: D
authors: Bernhardt
authors: Fernando
authors: F
authors: Vega-Higuera
authors: S Kevin
authors: SK
authors: Zhou
authors: Peter
authors: P
authors: Meer
authors: Dorin
authors: D
authors: Comaniciu
mesh_terms: D000465:Algorithms; D001331:Automation; D003201:Computers; D017023:Coronary Angiography / Q000379:methods; D023921:Coronary Stenosis / Q000145:classification / Q000175:diagnosis* / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D012372:ROC Curve; D012044:Regression Analysis; D015203:Reproducibility of Results; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*