HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Gilland, D. R. Articles by Perry, J. R. Search for Related Content PubMed PubMed Citation Articles by Gilland, D. R. Articles by Perry, J. R.

An Evaluation of Maximum Likelihood-Expectation Maximization Reconstruction for SPECT by ROC Analysis

Department of Radiology, Duke University Medical Center, Durham, North Carolina
Department of Radiology, The University of North Carolina at Chapel Hill
Department of Radiology, The University of Chicago, Chicago, Illinois

Correspondence: For reprints contact: David R. Gilland, PhD, Box 3949. D.U.M.C., Durham. NC 27710.

ABSTRACT

A ROC study was performed in order to evaluate whether the maximum likelihood expectation maximization (ML-EM) reconstruction algorithm improves diagnostic performance compared to the conventional filtered backprojection method In SPECT. Several implementations of the algorithm were tested including 25 and 50 iteration stopping points, with and without nonuniform attenuation compensation, and with and without Metz filtering. Filtered backprojection was with Metz filter and without attenuation compensation. The test data were computer simulated to model cardiac ²⁰¹Tl SPECT. The data incorporated the effects of nonuniform attenuation, distance-dependent collimator response, and scatter. Patient CT Images provided realistic anatomy and attenuation information for the data simulation. Four observers each viewed 120 images for each of the reconstruction methods. Lesion detectability with ML-EM increased with Metz filtering and decreased with nonuniform attenuation compensation. The best MIL-EM Implementation, 50 iterations with Metz filtering and without attenuation compensation, was not statistically better than filtered backprojection.

This article has been cited by other articles:

				D. Daou, I. Pointurier, C. Coaguila, D. Vilain, A. Wahab Benada, R. Lebtahi, T. Fourme, M. Slama, and D. Le Guludec Performance of OSEM and Depth-Dependent Resolution Recovery Algorithms for the Evaluation of Global Left Ventricular Function in 201Tl Gated Myocardial Perfusion SPECT J. Nucl. Med., February 1, 2003; 44(2): 155 - 162. [Abstract] [Full Text] [PDF]