Title :
Quantitative analysis of reconstructed 3-D coronary arterial tree and intracoronary devices
Author :
Chen, S. Y James ; Carroll, John D. ; Messenger, John C.
Author_Institution :
Div. of Cardiology, Colorado Univ., Denver, CO, USA
fDate :
7/1/2002 12:00:00 AM
Abstract :
Traditional quantitative coronary angiography is performed on two-dimensional (2-D) projection views. These views are chosen by the angiographer to minimize vessel overlap and foreshortening. With 2-D projection views that are acquired in this nonstandardized fashion, however, there is no way to know or estimate how much error occurs in the QCA process. Furthermore, coronary arteries possess a curvilinear shape and undergo a cyclical deformation due to their attachment to the myocardium. Therefore, it is necessary to obtain three-dimensional (3-D) information to best describe and quantify the dynamic curvilinear nature of the human coronary artery. Using a patient-specific 3-D coronary reconstruction algorithm and routine angiographic images, a new technique is proposed to describe: (1) the curvilinear nature of 3-D coronary arteries and intracoronary devices; (2) the magnitude of the arterial deformation caused by intracoronary devices and due to heart motion; and (3) optimal view(s) with respect to the desired "pathway" for delivering intracoronary devices.
Keywords :
angiocardiography; image reconstruction; medical image processing; prosthetics; arterial deformation magnitude; cyclical deformation; dynamic curvilinear nature quantification; human coronary artery; intracoronary devices delivery pathway; medical diagnostic imaging; myocardium; patient-specific 3-D coronary reconstruction algorithm; routine angiographic images; Angiography; Arteries; Heart; Humans; Image reconstruction; Myocardium; Quantum cellular automata; Reconstruction algorithms; Shape; Two dimensional displays; Algorithms; Angioplasty; Blood Vessel Prosthesis; Blood Vessel Prosthesis Implantation; Computer Simulation; Coronary Angiography; Coronary Disease; Coronary Vessels; Humans; Imaging, Three-Dimensional; Models, Cardiovascular; Phantoms, Imaging;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2002.801151