Abstract
We present a method for fully automatic 3D reconstruction of coronary artery centerlines using three X-ray angiogram projections from a single rotating monoplane acquisition. The reconstruction method consists of three steps: (1) filtering and segmenting the images using a multiscale analysis, (2) matching points in two of the segmented images using the information from the third image, and (3) reconstructing in 3D the matched points. This method needs good calibration of the system geometry and requires breatheld acquisitions. The final algorithm is formulated as an energy minimization problem that we solve using dynamic programming optimization. This method provides a fast and automatic way to compute 3D models of vessels centerlines. It has been applied to both phantoms, for validation purposes, and patient data sets.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Messenger J.C., Chen S.Y., Carroll J.D., Burchenal J.E., Kioussopoulos K. and Groves B.M., “3D coronary reconstruction from routine single-plane coronary angiograms: clinical validation and quantitative analysis of the right coronary artery in 100 patients”, The International Journal of Cardiac Imaging 16(6): 413–427, December 2000.
Chen S.Y. and Carroll J.D., “3-D reconstruction of coronary arterial tree to optimize angiographic visualization”, IEEE Transactions in Medical Imaging 19(4), April 2000.
Chen S.Y. and Carroll J.D., “Computer Assisted Coronary Intervention by Use of On-line 3D Reconstruction and Optimal View Strategy”’, Medical Image Computing and Computer-Assisted Intervention Proceedings, Lecture Notes in Computer Science Vol. 1496: 377–385, Springer, Cambridge, October 1998.
Shechter G., Devernay F., Coste-Manière E. and McVeigh E., “Temporal tracking of 3D coronary arteries in projection angiograms”, Proceedings of SPIE Medical Imaging 4684, San Diego, February 2002.
Ding Z. and Friedman M.H., “Quantification of 3-D coronary arterial motion using clinical biplane cineangiograms”, The International Journal of Cardiac Imaging 16(5): 331–346, October 2000.
Krissian K., Malandain G., Ayache, N., Vaillant R. and Trousset Y., “Model-Based Multiscale Detection of 3D Vessels”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition: 722–727, Santa Barbara, 1998
Mourgues F., Devernay F., Malandain G. and Coste-Manière E., “3D+t Modeling of Coronary Artery Tree from Standard Non Simultaneous Angiograms”, Medical Image Computing and Computer-Assisted Intervention Proceedings, Lecture Notes in Computer Science Vol. 2208:, Springer, Utrecht, 2001.
Faugeras O. and Robert L., “What can two images tell us about a third one?”, European Conference on Computer Vision, 485–492, 1994.
Ayache N., “Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception”, 135–154, The MIT Press, Cambridge, 1991.
Reiber J., Koning G., Dijkstra J., Wahle A, Goedhart B., Sheehan F.H. etal., “Angiography and Intravascular Ultrasound”, in: Sonka M., Fitzpatrick J.M., editors. Handbook of Medical Imaging - Volume 2: Medical Image Processing and Analysis. Belligham, WA: SPIE, 2000:711–808.
Triggs B., McLauchlan P., Hartley R., Fitzgibbon A., “Bundle Adjustment - A Modern Synthesis” in “Vision Algorithms: Theory and Practice”: 298–375, Springer Verlag, Lectures Notes in Computer Science, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Blondel, C., Vaillant, R., Devernay, F., Malandain, G., Ayache, N. (2002). Automatic trinocular 3D reconstruction of coronary artery centerlines from rotational X-ray angiography. In: Lemke, H.U., Inamura, K., Doi, K., Vannier, M.W., Farman, A.G., Reiber, J.H.C. (eds) CARS 2002 Computer Assisted Radiology and Surgery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56168-9_139
Download citation
DOI: https://doi.org/10.1007/978-3-642-56168-9_139
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62844-3
Online ISBN: 978-3-642-56168-9
eBook Packages: Springer Book Archive