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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Vydáno v:	Computer methods and programs in biomedicine Ročník 99; číslo 3; s. 219 - 229
Hlavní autoři:	Gaitanis, Anastasios, Kontaxakis, George, Spyrou, George, Panayiotakis, George, Tzanakos, George
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Ireland Elsevier Ireland Ltd 01.09.2010
Témata:	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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Abstract	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.
AbstractList	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. Abstract 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. 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.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.
Author	Spyrou, George Panayiotakis, George Tzanakos, George Kontaxakis, George Gaitanis, Anastasios
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Cites_doi	10.1016/S0010-4825(97)00031-0 10.1109/42.363108 10.1118/1.2239165 10.1088/0031-9155/49/19/007 10.1109/NSSMIC.2006.353726 10.1016/j.mibio.2004.05.002 10.1109/TNS.2002.998681 10.1056/NEJMra050276 10.47102/annals-acadmedsg.V33N2p133 10.1088/0031-9155/43/4/027 10.1109/23.106689 10.1038/nrd1130 10.1109/23.106686 10.1161/CIRCULATIONAHA.105.541664 10.1109/TMI.1982.4307558 10.1109/23.12795 10.1109/TMI.2007.892644 10.1117/12.237917
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Keywords	Monte Carlo Ordered subsets expectation maximization Positron emission tomography Image reconstruction Pixel updating coefficients
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Snippet	We have studied the properties of the pixel updating coefficients in the 2D ordered subsets expectation maximization (OSEM) algorithm for iterative image... Abstract We have studied the properties of the pixel updating coefficients in the 2D ordered subsets expectation maximization (OSEM) algorithm for iterative...
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SubjectTerms	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
Title	Studying the properties of the updating coefficients in the OSEM algorithm for iterative image reconstruction in PET
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