Title :
Kinematic and deformation analysis of 4-D coronary arterial trees reconstructed from cine angiograms
Author :
Chen, S-Y James ; Carroll, John D.
Author_Institution :
Dept. of Medicine, Univ. of Colorado Health Sci. Center, Denver, CO, USA
fDate :
6/1/2003 12:00:00 AM
Abstract :
In the cardiovascular arena, percutaneous catheter-based interventional (i.e., therapeutic) procedures include a variety of coronary and other vascular system interventions. These procedures use two-dimensional (2-D) X-ray-based imaging as the sole or the major imaging modality for procedure guidance and quantification of key parameters. Coronary vascular curvilinearity is one key parameter that requires a four-dimensional (4-D) format, i.e., three-dimensional (3-D) anatomical representation that changes during the cardiac cycle. A new method has been developed for reconstruction and analysis of these patient-specific 4-D datasets utilizing routine cine angiograms. The proposed method consists of three major processes: 1) reconstruction of moving coronary arterial tree throughout the cardiac cycle; 2) establishment of temporal correspondence with smoothness constraints; and 3) kinematic and deformation analysis of the reconstructed 3-D moving coronary arterial trees throughout the cardiac cycle.
Keywords :
angiocardiography; diagnostic radiography; image reconstruction; kinematics; medical image processing; anatomical representation; cardiac cycle; catheter-based interventional procedures; cine angiograms; coronary arterial trees reconstruction; coronary vascular curvilinearity; coronary vasculature; deformation; key parameter; kinematic analysis; medical diagnostic imaging; moving coronary arterial tree; smoothness constraints; temporal correspondence; Arteries; Biomedical imaging; Cardiology; Geometry; Image reconstruction; Kinematics; Optical imaging; Three dimensional displays; Two dimensional displays; X-ray imaging; Algorithms; Anatomy, Cross-Sectional; Cineangiography; Coronary Angiography; Elasticity; Humans; Motion; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Surgery, Computer-Assisted;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2003.814788