Stopping criterion for the iterative EM-MLE image reconstruction for PET

George N. Kontaxakis; George S. Tzanakos

doi:10.1117/12.237917

16 April 1996 Stopping criterion for the iterative EM-MLE image reconstruction for PET

George N. Kontaxakis, George S. Tzanakos

Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996) https://doi.org/10.1117/12.237917
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

We propose a stopping criterion for the EM-MLE algorithm for PET, based on the properties of the multiplicative correction factors (Delta) x applied to the image vector after each iteration. The criterion is based on the relationship between the image quality descriptors and the statistical properties of the updating coefficients. Our study was performed with Monte Carlo-generated projections initially for an ideal scanner and noise-free case, in order to study the properties of the algorithm. It was then extended to include realistic data from the Hoffman brain phantom, by detailed Monte Carlo simulation of scattering, absorption, random and multiple coincidences, including a Monte Carlo simulation of the transmission scan for attenuation correction. The criterion has been applied to reconstructions from real data from the CTI-831 NeuroPET scanner. The stopping criterion as well as results from reconstructions of measured projection data are discussed.

Citation Download Citation

George N. Kontaxakis and George S. Tzanakos "Stopping criterion for the iterative EM-MLE image reconstruction for PET", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237917

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