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Optical Engineering

Estimation Of Blood Vessel Boundaries In X-Ray Images
Author(s): Kalmi Shmueli; William R. Brody; Albert Macovski
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Paper Abstract

A new approach to blood vessel boundary estimation is presented in this paper. By appropriately modeling the blood vessel as a dynamically evolving state vector, and by taking into account the Poisson statistics of the x-ray imaging noise, we arrive at a state-space system with a nonlinear measurement equation which includes non-Gaussian, nonadditive noise. Maximum a posteriori (MAP) smoothing equations are derived for the state vector describing the vessel, and the optimally smoothed state vector is found by a dynamic programming search. This method performs especially well in images with low signal-to-noise ratio and low sampling rate. The performance of the proposed method is demonstrated by the boundary estimates obtained by applying the algorithm to a simulated vessel and measurement data as well as to real vessel phantom measurement data at various SNRs.

Paper Details

Date Published: 1 February 1983
PDF: 7 pages
Opt. Eng. 22(1) doi: 10.1117/12.7973057
Published in: Optical Engineering Volume 22, Issue 1
Show Author Affiliations
Kalmi Shmueli, Stanford University (United States)
William R. Brody, Stanford University (United States)
Albert Macovski, Stanford University (United States)


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