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Proceedings Paper

Improved SPECT Reconstruction Using Inverse Monte Carlo
Author(s): Carey E. Floyd; Ronald J. Jaszczak; Stephen H. Manglos; Kim L. Greer; R. Edward Coleman
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Paper Abstract

Improved SPECT reconstructions have been obtained by the use of an Inverse Monte Carlo (IMOC) reconstruction algorithm. Monte Carlo solution to the photon transport equation for SPECT generates an accurate system response model for use in an iterative Maximum Likelihood estimation (MLE) algorithm. Reconstruction from simulated projections demonstrate that the MLE algorithm continues to converge at 1000 iterations for noise free data. Reconstruction from experimentally acquired projections reveals superior RMS noise and resolution recovery when compared with filtered backprojection for simple phantoms. Compensation for scatter and attenuation is provided by including these effects in the Monte Carlo simulation.

Paper Details

Date Published: 1 January 1986
PDF: 8 pages
Proc. SPIE 0671, Physics and Engineering of Computerized Multidimensional Imaging and Processing, (1 January 1986); doi: 10.1117/12.966699
Show Author Affiliations
Carey E. Floyd, Duke University Medical Center (United States)
Ronald J. Jaszczak, Duke University Medical Center (United States)
Stephen H. Manglos, Duke University Medical Center (United States)
Kim L. Greer, Duke University Medical Center (United States)
R. Edward Coleman, Duke University Medical Center (United States)


Published in SPIE Proceedings Vol. 0671:
Physics and Engineering of Computerized Multidimensional Imaging and Processing
Thomas F. Budinger; Zang-Hee Cho; Orhan Nalcioglu, Editor(s)

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