Paper
4 November 1981 Estimation Of Blood Vessel Boundaries In X-Ray Images
Kalmi Shmueli, William R. Brody, Albert Macovski
Author Affiliations +
Abstract
A new approach to blood vessel boundary estimation is presented in this paper. By appropriately modelling 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 non-linear measurement equation which includes non-Gaussian, non-additive noise. 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 SNR 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 SNR's.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kalmi Shmueli, William R. Brody, and Albert Macovski "Estimation Of Blood Vessel Boundaries In X-Ray Images", Proc. SPIE 0314, Digital Radiography, (4 November 1981); https://doi.org/10.1117/12.933059
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Cited by 5 scholarly publications.
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KEYWORDS
Signal to noise ratio

Blood vessels

Sensors

Computer programming

Detection and tracking algorithms

Tissues

Edge detection

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