Conference proceeding
Curvature and torsion estimation for coronary-artery motion analysis
Proceedings of SPIE, Vol.5369(1), pp.504-515
Medical Imaging 2004: Physiology, Function, and Structure from Medical Images
04/30/2004
DOI: 10.1117/12.537301
Abstract
The dynamics of curvature and torsion are important for the geometric description of arteries and for the distribution of accumulating plaque. In this research, two methods for estimating curvature and torsion are analyzed with respect to their accuracy. The first method is based on estimating the curvature and torsion of the artery centerline using the Fourier transform. Since the centerline always represents an open curve, extensions ensuring a minimal spectral energy are added on both ends to obtain a closed curve suitable for Fourier analysis. The second method has been previously used for analyzing the motion of coronary arteries and is based on the least squares fitting of a cubic polynomial to the centerline of the artery. Validation is performed using two mathematical, time-varying phantoms as well as 4-D (3-D plus time)
data of coronary arteries reconstructed by fusion of biplane angiograms and intravascular ultrasound images. Results show that both methods are accurate for estimating curvature and torsion, and that both methods have average errors below 2.15%.
Details
- Title: Subtitle
- Curvature and torsion estimation for coronary-artery motion analysis
- Creators
- Ruben Medina - University of IowaAndreas Wahle - University of IowaMark E Olszewski - University of IowaMilan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.5369(1), pp.504-515
- Conference
- Medical Imaging 2004: Physiology, Function, and Structure from Medical Images
- DOI
- 10.1117/12.537301
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/30/2004
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186694002771
Metrics
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