Year: 2003
Type: conference-paper
Abstract: An approach to the problem of reconstructing a 3-D arterial tree model from a few angiographic projections is described. A natural optimality criterion that defines the globally best reconstruction is defined, and then an algorithm that maximizes this criterion is outlined. The criterion is a compromise between the conflicting goals of measurement likelihood and object smoothness. The approach uses a parametric model for the arterial tree, with a more accurate model for bifurcations. The algorithm is demonstrated on simulated projections and on magnetic resonance (MR) images.>
Authors: J. Fessler, D. Nishimura, A. Macovski
Institution: Stanford University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2114186272
