A new class of similarity measures for robust image registration
Computer Vision, Graphics, and Image Processing
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Degraded Image Analysis: An Invariant Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
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Coronary artery diseases are usually revealed using X-ray angiographies. Such images are complex to analyze because they provide a 2D projection of a 3D object. Medical diagnosis suffers from inter- and intraclinician variability. Therefore, reliable software for the 3D modeling of the coronary tree is strongly desired. This paper focuses on the automatic 3D modeling of the vessels from X-ray angiography. Our approach is based on a 3D model of standard vessels. The model is projected because it is difficult to suitably transform standard into individual vessels on 3D space. The modeling process is carried out in two steps. The first step consists of selecting automatically two sets of corresponding control points between standard and individual vessels. In the second step, 3D model of individual vessels is performed by warping with corresponding control points. Accurate descriptions of 3D model would be useful for quantitative diagnosis of atherosclerosis, for surgical or treatment planning, for monitoring disease progress or remission, and for comparing efficacies of treatments.