The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
Extracting Curvilinear Structures: A Differential Geometric Approach
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
3D+t Modeling of Coronary Artery Tree from Standard Non Simultaneous Angiograms
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
3D Curve Reconstruction by Biplane Snakes
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Extraction of Curved Lines from Images
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
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In this work we explore the feasibility of reconstructing 3D information of coronary arteries and their lesions from coronary angiography sequences. The angiographies were taken during the examination of the vessels with an uncalibrated camera. The camera is still and we assumed that natural movement of arteries is large enough to create the change of view necessary for a stereo effect. We execute an automatic extraction algorithm for the arteries, then we aligned the consecutive pairs of the sequence and finally we used a correlation algorithm to obtain a dense disparity map to finally reconstruct the 3D model of the coronary arteries and their lesions. This preliminary study indicates that this approach could provide a simple way to extract 3D information of the coronary arteries without the use of a stereo image acquisition setup.