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Proceedings Paper

Simultaneous reconstruction and edge detection of transmission images in emission computed tomography
Author(s): Soo-Jin Lee
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Paper Abstract

This paper presents a Bayesian method for reconstructing transmission images, which provide attenuation correction factors for emission scans. In order to preserve the edges that bound anatomical regions, which are important especially for areas of non-uniform attenuation, we use the line-process model as a prior. Our prior model provides edge maps containing the anatomical boundary information as well as edge preserved reconstructions. To optimize our nonconvex objective function, we use our previously developed deterministic annealing algorithm, in which the energy function is approximated by a sequence of smooth functions that converges uniformly to the original energy function. To accelerate the convergence speed of our algorithm, we apply the ordered subsets principle to the deterministic annealing algorithm. We also show how the smoothing parameter can be adjusted to account for the effects of using ordered subsets so that the degree of smoothness can be retained for variations of the number of subsets. To validate the quantitative performance of our algorithm, we use the quantitation of bias/variance over noise trials. Our preliminary results indicate that, in some circumstances, our methods have advantages over conventional methods.

Paper Details

Date Published: 7 December 2001
PDF: 12 pages
Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449786
Show Author Affiliations
Soo-Jin Lee, Paichai Univ. (South Korea)

Published in SPIE Proceedings Vol. 4472:
Applications of Digital Image Processing XXIV
Andrew G. Tescher, Editor(s)

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