Three-dimensional reconstruction of the coronary arteries usinga priori knowledge

A method for 3D reconstruction of the coronary arteries from two radiographic images is presented. A novel technique for matching image structures is the main contribution of the work. After a comprehensive study of the knowledge required to approach this problem, an automatic method, which includes both numeric and symbolic procedures to solve geometric ambiguities, is developed. In the proposed method, all possible (virtual) reconstructions are first obtained. Their validity is evaluated by means of a priori knowledge about the 3D object and its projections. From the set of chosen possible solutions, the most likely solution is selected. The method is tested using real images and is implemented in a platform that allows further clinical validation.

[1]  Wallace A. McAlpine,et al.  Heart and Coronary Arteries , 1975 .

[2]  C F Starmer,et al.  Computer representation of coronary arterial trees. , 1976, Computers and biomedical research, an international journal.

[3]  Richard E. Sayre,et al.  QUANTITATIVE THREE-DIMENSIONAL ANGIOGRAMS: APPLICATIONS, INCLUDING AUGMENTATION OF COMPUTED TOMOGRAMS. , 1979 .

[4]  Saburo Tsuji,et al.  Knowledge-Based Identification of Artery Branches in Cine-Angiograms , 1981, IJCAI.

[5]  Tim Ritchings,et al.  Knowledge-based analysis of carotid angiograms , 1985, Image Vis. Comput..

[6]  Masahiko Yachida,et al.  3-D reconstruction of coronary artery from cine-angiograms based on left ventricular model , 1986, Systems and Computers in Japan.

[7]  Dennis L. Parker,et al.  Three Dimensional Reconstruction Of Vascular Beds From Digital Angiographic Projections , 1986, Other Conferences.

[8]  Mireille Garreau Signal, image et intelligence artificielle : application a la decomposition du signal electromyographique et a la reconstruction et l'etiquetage 3-d de structures vasculaires , 1988 .

[9]  Jean-Yves Catros,et al.  An artificial intelligence approach for medical picture analysis , 1988, Pattern Recognit. Lett..

[10]  E. Bolson,et al.  Intrathoracic spatial location of specified coronary segments on the normal human heart. Applications in quantitative arteriography, assessment of regional risk and contraction, and anatomic display. , 1988, Circulation.

[11]  Ying Sun Knowledge-based segmentation and correspondence of vascular structures from biplane angiograms , 1990, Medical Imaging: Image Processing.

[12]  Karl Barth,et al.  Automated biplane vessel recognition in digital coronary angiograms , 1990, Medical Imaging: Image Processing.

[13]  S T Rake Three-dimensional reconstruction of arteries from biplane angiograms. , 1991, Medical informatics = Medecine et informatique.

[14]  Jean-Louis Coatrieux,et al.  Utility of 2D properties in the reconstruction of coronary arteries from biplane angiographic images , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  P. Rabischong,et al.  Multidirectional reconstruction of angiograms by stereogrammetry and computer , 1979, Neuroradiology.

[16]  G. Coppini,et al.  Three-dimensional knowledge driven reconstruction of coronary trees , 2006, Medical and Biological Engineering and Computing.