List mode reconstruction for PET with motion compensation: A simulation study

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Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject moti is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time vary ingrate function. The proposed method has several advantages over ... continued below

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Qi, Jinyi & Huesman, Ronald H. July 3, 2002.

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Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject moti is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time vary ingrate function. The proposed method has several advantages over the existing methods. It uses all detected events and does not introduce any interpolation error. Computer simulations show that the proposed method can compensate simulated subject movements and that the reconstructed images have no visible motion artifacts.

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INIS; OSTI as DE00815495

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  • IEEE International Symposium on Biomedical Imaging, Washington, DC (US), 07/07/2002--07/10/2002

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  • Report No.: LBNL--51930
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 815495
  • Archival Resource Key: ark:/67531/metadc734074

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  • July 3, 2002

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  • Oct. 18, 2015, 6:40 p.m.

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  • April 4, 2016, 5:56 p.m.

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Qi, Jinyi & Huesman, Ronald H. List mode reconstruction for PET with motion compensation: A simulation study, article, July 3, 2002; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc734074/: accessed October 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.