Adaptive Bayesian Iterative Transmission Reconstruction for Attenuation Correction in Myocardial Perfusion Imaging with SPECT/Slow-Rotation Low-Output CT Systems

Chen, Ji; Garcia, Ernest V.; Folks, Russell D.; Peretz, Aharon; Galt, James R.

doi:https://doi.org/10.1155/2007/18709

International Journal of Biomedical Imaging

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Multimodal Imaging and Hybrid Scanners

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Research Article | Open Access

Volume 2007 | Article ID 018709 | https://doi.org/10.1155/2007/18709

Adaptive Bayesian Iterative Transmission Reconstruction for Attenuation Correction in Myocardial Perfusion Imaging with SPECT/Slow-Rotation Low-Output CT Systems

Ji Chen,¹Ernest V. Garcia,¹Russell D. Folks,¹Aharon Peretz,²and James R. Galt¹

Academic Editor: David Townsend

Received27 Jan 2006

Revised14 Dec 2006

Accepted14 Dec 2006

Published13 Feb 2007

Abstract

Objectives. SPECT/slow-rotation low-output CT systems can produce streak artifacts in filtered backprojection (FBP) attenuation maps, impacting attenuation correction (AC) in myocardial perfusion imaging. This paper presents an adaptive Bayesian iterative transmission reconstruction (ABITR) algorithm for more accurate AC. Methods. In each iteration, ABITR calculated a three-dimensional prior containing the pixels with attenuation coefficients similar to water, then used it to encourage these pixels to the water value. ABITR was tested with a cardiac phantom and 4 normal patients acquired by a GE Millennium VG/Hawkeye system. Results. FBP AC and ABITR AC produced similar phantom results. For the patients, streak artifacts were observed in the FBP and ordered-subsets expectation-maximization (OSEM) maps but not in the ABITR maps, and ABITR AC produced more uniform images than FBP AC and OSEM AC. Conclusion. ABITR can improve the quality of the attenuation map, producing more uniform images for normal studies.

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Copyright © 2007 Ji Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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