Studying the properties of the updating coefficients in the OSEM algorithm for iterative image reconstruction in PET

We have studied the properties of the pixel updating coefficients in the 2D ordered subsets expectation maximization (OSEM) algorithm for iterative image reconstruction in positron emission tomography, in order to address the problem of image quality degradation—a known property of the technique aft...

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Vydané v:Computer methods and programs in biomedicine Ročník 99; číslo 3; s. 219 - 229
Hlavní autori: Gaitanis, Anastasios, Kontaxakis, George, Spyrou, George, Panayiotakis, George, Tzanakos, George
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Ireland Elsevier Ireland Ltd 01.09.2010
Predmet:
Algorithms
Humans
Image Processing, Computer-Assisted - instrumentation
Image Processing, Computer-Assisted - methods
Image reconstruction
Internal Medicine
Models, Theoretical
Monte Carlo
Monte Carlo Method
Ordered subsets expectation maximization
Other
Pixel updating coefficients
Positron emission tomography
Positron-Emission Tomography - instrumentation
Positron-Emission Tomography - methods
Software
Statistics as Topic
Monte Carlo
Ordered subsets expectation maximization
Positron emission tomography
Image reconstruction
Pixel updating coefficients
ISSN:0169-2607, 1872-7565, 1872-7565
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Shrnutí:We have studied the properties of the pixel updating coefficients in the 2D ordered subsets expectation maximization (OSEM) algorithm for iterative image reconstruction in positron emission tomography, in order to address the problem of image quality degradation—a known property of the technique after a number of iterations. The behavior of the updating coefficients has been extensively analyzed on synthetic coincidence data, using the necessary software tools. The experiments showed that the statistical properties of these coefficients can be correlated with the quality of the reconstructed images as a function of the activity distribution in the source and the number of subsets used. Considering the fact that these properties can be quantified during the reconstruction process of data from real scans where the activity distribution in the source is unknown the results of this study might be useful for the development of a stopping criterion for the OSEM algorithm.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0169-2607
1872-7565
1872-7565
DOI:10.1016/j.cmpb.2009.11.011