TY - GEN
T1 - High-definition positron emission tomography using restored sinograms
AU - Li, Hongdi
AU - Zhang, Yuxuan
AU - Baghaei, Hossain
AU - Liu, Shitao
AU - Ramirez, Rocio
AU - Wang, Chao
AU - An, Shaohui
AU - Wong, Wai Hoi
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - Resolution recovery becomes an important technology for high-resolution and high-sensitivity Positron Emission Tomography (PET) cameras. High-definition PET images can be created after correcting detector parallax errors using point-spread functions. Many studies have demonstrated that better resolution and quantitative accuracy can be achieved by iterative reconstruction method with system respond function (SRF). this paper, we use the SRF to restore sinograms first and then reconstruct images using the restored sinograms with conventional reconstruction methods. SRF is derived from Monte Carlo simulations with GEANT software. We modeled the SRF for the detector geometry of our prototype animal PET camera (RRPET) and human PET camera (HOTPET) for the evaluation. Na-22 point source experiment results demonstrated that resolution degradations in both cameras were eliminated. As expected, with sinogram restoration method the image quality was dramatically improved in the small animal PET system evaluated with microdeluxe phantom and rat data. However, there was no improvement of Hoffman brain-phantom image in the human PET with rotatable gantry, which may relate to the detector gaps and scatter background existing in the original sinograms.
AB - Resolution recovery becomes an important technology for high-resolution and high-sensitivity Positron Emission Tomography (PET) cameras. High-definition PET images can be created after correcting detector parallax errors using point-spread functions. Many studies have demonstrated that better resolution and quantitative accuracy can be achieved by iterative reconstruction method with system respond function (SRF). this paper, we use the SRF to restore sinograms first and then reconstruct images using the restored sinograms with conventional reconstruction methods. SRF is derived from Monte Carlo simulations with GEANT software. We modeled the SRF for the detector geometry of our prototype animal PET camera (RRPET) and human PET camera (HOTPET) for the evaluation. Na-22 point source experiment results demonstrated that resolution degradations in both cameras were eliminated. As expected, with sinogram restoration method the image quality was dramatically improved in the small animal PET system evaluated with microdeluxe phantom and rat data. However, there was no improvement of Hoffman brain-phantom image in the human PET with rotatable gantry, which may relate to the detector gaps and scatter background existing in the original sinograms.
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U2 - 10.1109/NSSMIC.2008.4774251
DO - 10.1109/NSSMIC.2008.4774251
M3 - Conference contribution
AN - SCOPUS:67649212973
SN - 9781424427154
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 4373
EP - 4377
BT - 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
T2 - 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
Y2 - 19 October 2008 through 25 October 2008
ER -