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Proceedings Paper

Enhancement of low-dosage cine-angiographic image sequences using a modified expectation maximization algorithm
Author(s): Cheuk L. Chan; Aggelos K. Katsaggelos; Alan V. Sahakian
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Paper Abstract

Clinical x-ray image sequences acquired through fluoroscopy systems may be corrupted by quantum mottle--a Poisson-distributed, signal-dependent noise that arises with a controlled x- ray dosage reduction in an attempt to lower the exposure to the patient and the medical staff. In this paper, an approach to temporally filter this sequence is presented. It relies on a joint estimation of the signal and the displacement field through a maximum likelihood approach. Implementation is done via a modified EM algorithm to facilitate a more tractable solution.

Paper Details

Date Published: 1 November 1992
PDF: 9 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131446
Show Author Affiliations
Cheuk L. Chan, Northwestern Univ. (United States)
Aggelos K. Katsaggelos, Northwestern Univ. (United States)
Alan V. Sahakian, Northwestern Univ. (United States)

Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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