@article{fd02c1f48531403d9009f51fda687283,
title = "Attenuation compensation for cardiac single-photon emission computed tomographic imaging: Part 2. Attenuation compensation algorithms",
abstract = "Attenuation is believed to be one of the major causes of false-positive cardiac single-photon emission computed tomographic perfusion images. This article provides an introduction to the approaches used to correct for nonuniform attenuation once a patient-specific attenuation map is available. Comparison is made of specific attenuation-correction algorithms from each of three major categories of compensation methods that are or will be available commercially. Examples of the use of the algorithms on simulated projections of a mathematic phantom modeling the anatomy of the upper torso are used to illustrate the ability of the methods to compensate for attenuation. The advantages and disadvantages of each approach are summarized, as well as areas that need further investigation.",
keywords = "Attenuation correction, Single-photon emission computed tomography",
author = "King, {Michael A.} and Tsui, {Benjamin M.W.} and Pan, {Tin Su} and Glick, {Stephen J.} and Soares, {Edward J.}",
note = "Funding Information: Not only has the ability to estimate attenuation maps improved greatly during the last decade, as detailed in the first part of this review, 1 but also has the ability to perform correction of attenuation once the attenuation maps are estimated. In part this is due to the tremendous changes in computing power available with the computers in the clinic, making computations practical, which could be performed only as research exercises 10 years ago. It is also due to an improvement in the algorithms used for correction and the efficiency of their implementation. A number of algorithms have been developed for compensation of attenuation. In this review we have selected three examples from different classes of algorithms for an illustrative comparison. We will From the Department of Nuclear Medicine, University of Massa-chusetts Medical Center, Worcester, Mass., and the Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, N.C. Supported in part by US Public Health grant HL50349 of the National Heart, Lung, and Blood Institute. Reprint requests: Michael A. King, PhD, Department of Nuclear Medicine, Universityo f Massachusetts Medical Center, 55 Lake Ave. N., Worcester, MA 01655. The contents are solelyt he responsibilityo f the authors and do not necessarily represent the official views of the National Heart, Lung, and Blood Institute. Copyright {\textcopyright} 1996 by American Society of Nuclear Cardiology. 1071-3581/96/$5.00 + 0 43/72/68591 explain how these algorithms are implemented, comment on their advantages and disadvantages, and provide the reader with some insight into how these algorithms perform. The reader is referred to other reviews for both more details and other algorithms. 2-9",
year = "1996",
doi = "10.1016/S1071-3581(96)90024-0",
language = "English (US)",
volume = "3",
pages = "55--64",
journal = "Journal of Nuclear Cardiology",
issn = "1071-3581",
publisher = "Springer New York",
number = "1",
}