Object-based 3-D reconstruction of arterial trees from magnetic resonance angiograms
- 1 March 1991
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Medical Imaging
- Vol. 10 (1) , 25-39
- https://doi.org/10.1109/42.75608
Abstract
This paper describes an object-based approach to the problem of reconstructing three-dimensional descriptions of arterial trees from a few angiographic projections. The method incorporates ap rioriknowledge of the structure of branching arteries into a natural optimality criterion that encompasses the entire arterial tree. This global approach enables reconstruction from a few noisy projection images. We present an efficient optimization algorithm for object estimation, and demonstrate its performance on simulated, phantom, and in vivo magnetic resonance angiograms.Keywords
This publication has 39 references indexed in Scilit:
- Homodyne detection in magnetic resonance imagingIEEE Transactions on Medical Imaging, 1991
- Nuclear Magnetic ResonancePublished by Royal Society of Chemistry (RSC) ,1990
- Sudden Cardiac Death without WarningNew England Journal of Medicine, 1989
- 3-D Reconstruction Of Vessels With Stenoses And Aneurysms From Dual Bi-Plane AngiogramsPublished by SPIE-Intl Soc Optical Eng ,1989
- Automated analysis of coronary arterial morphology in cineangiograms: geometric and physiologic validation in humansIEEE Transactions on Medical Imaging, 1989
- Making robust the cross-validatory choice of smoothing parameter in spline smoothing regressionCommunications in Statistics - Theory and Methods, 1989
- Three-dimensional reconstruction from projections with incomplete and noisy data by object estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
- The intrinsic signal‐to‐noise ratio in NMR imagingMagnetic Resonance in Medicine, 1986
- Localization of atherosclerotic lesions in the bifurcation of the main left coronary arteryAtherosclerosis, 1983
- Flow and Atherogenesis in the Human Carotid BifurcationPublished by Springer Nature ,1983