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Proceedings Paper

Resolution recovery for list-mode reconstruction in SPECT
Author(s): Luc Bouwens; Howard C. Gifford; Rik Van de Walle; Michael A. King; Ignace L. Lemahieu; Rudi A. Dierckx
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Paper Abstract

We developed an iterative reconstruction method for SPECT which uses list-mode data instead of binned data. It uses a more accurate model of the collimator structure. The purpose of the study was to evaluate the resolution recovery and to compare its performance to other iterative resolution recovery methods in the case of high noise levels The source distribution is projected onto an intermediate layer. Doing this we obtain the complete emission radiance distribution as an angular sinogram. This step is independent of the acquisition system. To incorporate the resolution of the system we project the individual list-mode events over the collimator wells to the intermediate layer. This projection onto the angular sinogram will define the probability a photon from the source distribution will reach this specific location on the surface of the crystal, thus being accepted by the collimator hole. We compared the SPECT list-mode reconstruction to MLEM, OSEM and RBI. We used Gaussian shaped point sources with different FWHM at different noise levels. For these distributions we calculated the reconstructed images at different number of iterations. The modeling of the resolution in this algorithm leads to a better resolution recovery compared to other methods, which tend to overcorrect.

Paper Details

Date Published: 3 July 2001
PDF: 12 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431118
Show Author Affiliations
Luc Bouwens, Ghent Univ. (Belgium)
Howard C. Gifford, Univ. of Massachusetts Medical School (United States)
Rik Van de Walle, Ghent Univ. (Belgium)
Michael A. King, Univ. of Massachusetts Medical School (United States)
Ignace L. Lemahieu, Ghent Univ. (Belgium)
Rudi A. Dierckx, Ghent Univ. Hospital (Belgium)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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