Title :
Practical application of a new stopping criterion for the EM-MLE image reconstruction for PET
Author :
Kontaxakis, George N. ; Tzanakos, George S.
Author_Institution :
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
fDate :
31 Oct-3 Nov 1996
Abstract :
We have recently presented a new stopping criterion for the EM-MLE algorithm for PET, based on the properties of the multiplicative correction factors Δx 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 and was initially developed using Monte Carlo simulation techniques. We present here the application of the criterion to reconstructions from real data from the CTI-831 NeuroPET scanner
Keywords :
convergence of numerical methods; image reconstruction; iterative methods; maximum likelihood estimation; medical image processing; positron emission tomography; CTI-831 NeuroPET scanner; EM-MLE algorithm; EM-MLE image reconstruction; Monte Carlo simulation; image quality descriptors; image vector; iteration; multiplicative correction factors; pixel updating; positron emission tomography; robust stopping rule; statistical properties; stopping criterion; updating coefficients; Biomedical engineering; Image quality; Image reconstruction; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Monte Carlo methods; Physics; Positron emission tomography; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652005
