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Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms.
- Source :
-
Medical image analysis [Med Image Anal] 2009 Oct; Vol. 13 (5), pp. 701-14. Date of Electronic Publication: 2009 Jun 30. - Publication Year :
- 2009
-
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.
- Subjects :
- Humans
Netherlands
Radiographic Image Enhancement methods
Radiographic Image Enhancement standards
Reference Values
Reproducibility of Results
Sensitivity and Specificity
Software Validation
Algorithms
Coronary Angiography standards
Pattern Recognition, Automated standards
Radiographic Image Interpretation, Computer-Assisted methods
Radiographic Image Interpretation, Computer-Assisted standards
Software standards
Tomography, X-Ray Computed standards
Subjects
Details
- Language :
- English
- ISSN :
- 1361-8423
- Volume :
- 13
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Medical image analysis
- Publication Type :
- Academic Journal
- Accession number :
- 19632885
- Full Text :
- https://doi.org/10.1016/j.media.2009.06.003