Abstract
The paper presents a method to model an arterial bifurcation from a pair of X-ray angiographic images. It is the initial step of a reconstruction process aiming at detecting and quantifying abnormal sites located on bifurcations. The method proposed consists of two steps. First, each image is independently segmented to extract the vessels in the images. The algorithm uses dynamic programming first to find the bifurcation centrelines from the original images, and secondly to extract vessel edges from the morphological gradient images, under a constraint of parallelism with the previously detected centrelines. Then, a three-dimensional bifurcation model is built by adapting cylinders around the three-dimensional bifurcation centrelines. These cylinders are obtained as a stack of binary orientable ellipses fitted to the projection densities in the corresponding cross-sections. Results obtained on simulated data, phantom and femoral bifurcations are displayed.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Anakök, M. (1989) Analyse des vaisseaux sanguins en angiographie numérisée. Thèse, Université de Paris VI.
Barillot, C., Gibaud, B., Scarabin, J. M. andCoatrieux, J. L. (1985) 3D reconstruction of cerebral blood vessels.IEEE Comput. Graph. Appl., Dec., 13–18.
Chang, S. K. andChow, C. K. (1973) The reconstruction of three-dimensional objects from two orthogonal projections and its application to cardiac cineangiography.IEEE Trans.,C-22, 18–28.
Coster, M. andChermant, J. L. (Eds.) (1985)Précis d'analyses d'images. Edition du Centre National de la Recherche Scientifique Paris, 134–143.
Friedland, N. andAdam, D. (1989) Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing.IEEE Trans.,MI-8, 344–353.
Hoffman, K. R. (1988) Automated three-dimensional vascular reproduction from stereoangiograms. IEEE Eng. in Med. & Bio. Soc. 10th Ann. Int. Conf., New Orleans, USA, 4th–7th Nov., 406–407.
Le Free, M. T., Simon, S. B., Sanz, M. L., Vogel, R. A. andMancini, G. B. J. (1988) Quantitative coronary arteriography. InClinical applications of cardiac digital angiography.Mancini, G. B. J. (Ed.), Raven Press, New York, 219–237.
Pellot, C., Herment, A., Sigelle, M., Peronneau, P., andGaux, J. C. (1990) Modélisation des bifurcations vasculaires par traitement des images d'angiographie numérisée.Innov. et Technol. en Biol. et Méd.,11, 567–580.
Pope, D. L., van Bree, R. E. andParker, D. L. (1988) Automated edge detection in the analysis of cardiac function and coronary anatomy. InClinical applications of cardiac digital angiography.Mancini, G. B. J. (Ed.), Raven Press, New York, 55–86.
Reiber, J. H. C. (1988) Morphologic and densitometric quantification of coronary stenoses: an overview of existing quantitation techniques. InNew developments in quantitative coronary arteriography.Reiber, J. H. C. andSerruys, P. W. (Eds.) Kluwer Academic Publishers, 34–88.
Ritchings, R. T., Colchester, A. C. F. andWang, H. Q. (1985) Knowledge-based analysis of carotid angiograms.Image & Vision Comput.,3, 217–222.
Stansfield, S. A. (1986) ANGY: A rule based expert system for automatic segmentation of coronary vessels from DSA.IEEE Trans.,PAMI-8, 188–199.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Pellot, C., Herment, A., Sigelle, M. et al. Segmentation, modelling and reconstruction of arterial bifurcations in digital angiography. Med. Biol. Eng. Comput. 30, 576–583 (1992). https://doi.org/10.1007/BF02446788
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02446788