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Proceedings Paper

Estimation Of 3-D Shape Of Blood Vessels From X-Ray Images.
Author(s): Yoram Bresler; Albert Macovski
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Paper Abstract

A new approach to blood vessel boundary estimation from a few whole volume projection images addressing the problems of low S/N ratio, low sampling rate and optimum data utilization, and the clinical need for three dimensional information about the vessel is presented in this paper. It is based on a recently developed estimation approach and algorithm for 3-D reconstruction from projections with incomplete and very noisy data. Using a stochastic dynamic model for the vessel, the imaging problem is reformulated as a nonlinear state estimation problem of small dimensionality, and an approximate recursive MMSE smoothing algorithm for its solution is presented. Computationally, the algorithm outperforms by orders of magnitude a previously suggested estimation method for blood vessel imaging, which was infeasible for the 3-D problem.

Paper Details

Date Published: 3 August 1984
PDF: 11 pages
Proc. SPIE 0515, Medical Images and Icons, (3 August 1984); doi: 10.1117/12.964766
Show Author Affiliations
Yoram Bresler, Stanford University (United States)
Albert Macovski, Stanford University (United States)

Published in SPIE Proceedings Vol. 0515:
Medical Images and Icons
Andre J. Duerinckx; Murray H. Loew; Judith M. S. Prewitt, Editor(s)

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