Title :
Reconstruction of coronary arteries from a single rotational X-ray projection sequence
Author :
Blondel, Christophe ; Malandain, Grégoire ; Vaillant, Régis ; Ayache, Nicholas
Author_Institution :
Gen. Electr. HealthCare, Buc, France
fDate :
5/1/2006 12:00:00 AM
Abstract :
Cardiovascular diseases remain the primary cause of death in developed countries. In most cases, exploration of possibly underlying coronary artery pathologies is performed using X-ray coronary angiography. Current clinical routine in coronary angiography is directly conducted in two-dimensional projection images from several static viewing angles. However, for diagnosis and treatment purposes, coronary artery reconstruction is highly suitable. The purpose of this study is to provide physicians with a three-dimensional (3-D) model of coronary arteries, e.g., for absolute 3-D measures for lesion assessment, instead of direct projective measures deduced from the images, which are highly dependent on the viewing angle. In this paper, we propose a novel method to reconstruct coronary arteries from one single rotational X-ray projection sequence. As a side result, we also obtain an estimation of the coronary artery motion. Our method consists of three main consecutive steps: 1) 3-D reconstruction of coronary artery centerlines, including respiratory motion compensation; 2) coronary artery four-dimensional motion computation; 3) 3-D tomographic reconstruction of coronary arteries, involving compensation for respiratory and cardiac motions. We present some experiments on clinical datasets, and the feasibility of a true 3-D Quantitative Coronary Analysis is demonstrated.
Keywords :
blood vessels; cardiovascular system; diagnostic radiography; diseases; image reconstruction; medical image processing; pneumodynamics; 3-D quantitative coronary analysis; X-ray coronary angiography; cardiac motion; cardiovascular diseases; coronary arteries; coronary artery four-dimensional motion computation; image reconstruction; lesion assessment; respiratory motion computation; single rotational X-ray projection sequence; Angiography; Arteries; Cardiovascular diseases; Image reconstruction; Lesions; Motion compensation; Motion estimation; Pathology; Three dimensional displays; X-ray imaging; Angiocardiography; coronarography; image motion analysis; image reconstruction; tomography; Algorithms; Artificial Intelligence; Coronary Angiography; Humans; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2006.873224