Estimation Of Blood Vessel Boundaries In X-Ray Images

Kalmi Shmueli; William R. Brody; Albert Macovski

doi:10.1117/12.7973057

1 February 1983 Estimation Of Blood Vessel Boundaries In X-Ray Images

Kalmi Shmueli, William R. Brody, Albert Macovski

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Optical Engineering, Vol. 22, Issue 1, 221110 (February 1983). https://doi.org/10.1117/12.7973057

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.

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Kalmi Shmueli, William R. Brody, and Albert Macovski "Estimation Of Blood Vessel Boundaries In X-Ray Images," Optical Engineering 22(1), 221110 (1 February 1983). https://doi.org/10.1117/12.7973057

Published: 1 February 1983

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