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

Abstract

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 motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate 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.

Authors:
;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Director. Office of Science. Biological and Environmental Research; National Institutes of Health Grant P01 Hl25840 (US)
OSTI Identifier:
822960
Report Number(s):
LBNL-52682
R&D Project: 440H01; TRN: US0401592
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: International symposium on biomedical imaging, Washington, DC (US), 07/07/2002--07/10/2002; Other Information: PBD: 1 Jul 2002
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; ALGORITHMS; COMPUTERIZED SIMULATION; INTERPOLATION; SIMULATION

Citation Formats

Qi, Jinyi, and Huesman, Ronald H. List mode reconstruction for PET with motion compensation: A simulation study. United States: N. p., 2002. Web.
Qi, Jinyi, & Huesman, Ronald H. List mode reconstruction for PET with motion compensation: A simulation study. United States.
Qi, Jinyi, and Huesman, Ronald H. Mon . "List mode reconstruction for PET with motion compensation: A simulation study". United States. https://www.osti.gov/servlets/purl/822960.
@article{osti_822960,
title = {List mode reconstruction for PET with motion compensation: A simulation study},
author = {Qi, Jinyi and Huesman, Ronald H.},
abstractNote = {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 motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 01 00:00:00 EDT 2002},
month = {Mon Jul 01 00:00:00 EDT 2002}
}

Conference:
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