| Affiliation: | 1. Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People''s Hospital, #600, Yishan Rd, 200233 Shanghai, China;2. Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People''s Hospital, #600, Yishan Rd, 200233 Shanghai, China;3. Siemens Healthcare Ltd, #278, Zhouzhugong Rd, Shanghai, China;1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China;3. Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China;4. Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Jiao Tong University, 600 Yi Shan Road, Shanghai 200233, China;5. Department of Cardiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China;6. Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA;1. Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands;2. Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands;3. Department of Cardiology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands |
| Abstract: | Efficiently obtaining a reliable coronary artery centerline from computed tomography angiography data is relevant in clinical practice. Whereas numerous methods have been presented for this purpose, up to now no standardized evaluation methodology has been published to reliably evaluate and compare the performance of the existing or newly developed coronary artery centerline extraction algorithms. This paper describes a standardized evaluation methodology and reference database for the quantitative evaluation of coronary artery centerline extraction algorithms. The contribution of this work is fourfold: (1) a method is described to create a consensus centerline with multiple observers, (2) well-defined measures are presented for the evaluation of coronary artery centerline extraction algorithms, (3) a database containing 32 cardiac CTA datasets with corresponding reference standard is described and made available, and (4) 13 coronary artery centerline extraction algorithms, implemented by different research groups, are quantitatively evaluated and compared. The presented evaluation framework is made available to the medical imaging community for benchmarking existing or newly developed coronary centerline extraction algorithms. |
