Monte Carlo optimization of 4D smoothing methods for gated myocardial perfusion SPECT

David S. Lalush, W. Paul Segars, Benjamin M.W. Tsui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we develop a technique for optimizing space-time smoothing methods proposed for gated myocardial perfusion SPECT. Gated SPECT synchronizes image acquisition with an ECG signal so that a time loop of 3D SPECT images is acquired. The optimization technique employs a realistic spline-based beating heart phantom. We simulate noise-free SPECT data from the phantom including all principal physical degrading effects, and then we simulate an ensemble of noisy datasets. Each member of the ensemble is processed using the candidate reconstruction method, varying the smoothing parameters to optimize bias and variance of a quantitative measure representing the task to be performed with the study. The method is demonstrated on the optimization of smoothing parameters for left ventricular volume estimation. We conclude that Monte Carlo simulation using realistic models of motion is essential in predicting and optimizing performance of 4D reconstruction methods.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
Externally publishedYes
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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