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Reconstruction of coronary arteries from a single rotational X-ray projection sequence.
- Source :
-
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2006 May; Vol. 25 (5), pp. 653-63. - Publication Year :
- 2006
-
Abstract
- Cardiovascular diseases remain the primary cause of death in developed countries. In most cases, exploration of possibly underlying coronary artery pathologies is performed using X-ray coronary angiography. Current clinical routine in coronary angiography is directly conducted in two-dimensional projection images from several static viewing angles. However, for diagnosis and treatment purposes, coronary artery reconstruction is highly suitable. The purpose of this study is to provide physicians with a three-dimensional (3-D) model of coronary arteries, e.g., for absolute 3-D measures for lesion assessment, instead of direct projective measures deduced from the images, which are highly dependent on the viewing angle. In this paper, we propose a novel method to reconstruct coronary arteries from one single rotational X-ray projection sequence. As a side result, we also obtain an estimation of the coronary artery motion. Our method consists of three main consecutive steps: 1) 3-D reconstruction of coronary artery centerlines, including respiratory motion compensation; 2) coronary artery four-dimensional motion computation; 3) 3-D tomographic reconstruction of coronary arteries, involving compensation for respiratory and cardiac motions. We present some experiments on clinical datasets, and the feasibility of a true 3-D Quantitative Coronary Analysis is demonstrated.
- Subjects :
- Artificial Intelligence
Humans
Information Storage and Retrieval methods
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Coronary Angiography methods
Imaging, Three-Dimensional methods
Pattern Recognition, Automated methods
Radiographic Image Enhancement methods
Radiographic Image Interpretation, Computer-Assisted methods
Subtraction Technique
Subjects
Details
- Language :
- English
- ISSN :
- 0278-0062
- Volume :
- 25
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- IEEE transactions on medical imaging
- Publication Type :
- Academic Journal
- Accession number :
- 16689269
- Full Text :
- https://doi.org/10.1109/TMI.2006.873224