TY - GEN
T1 - A comparison of resolution recovery performed in projection-space and image-space for a high resolution small animal PET scanner
AU - Baghaei, Hossain
AU - Li, Hongdi
AU - Zhang, Yuxuan
AU - Ramirez, Rocio A.
AU - Wong, Wai Hoi
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Advances in PET scanner design and image reconstruction methods have lead to the development of high resolution emission tomographic scanners. Traditional PET reconstruction methods that do not take into account the mispositioning of the lines of response (parallax error) result in blurring images and increased distortion with increased distance from the center of the field-of-view. The image quality can be improved by performing resolution recovery (RR) using a point spread function (PSF) which describes the response of the system to point source. For a high-resolution small animal PET scanner, we studied the resolution recovery modeling in projection-space using a Gaussian-PSF or Monte-Carlo (MC) simulated PSF. We also studied the RR in image-space using the Gaussian-PSF. For this work, we used data that were acquired by scanning a Micro Deluxe phantom and a healthy mouse. The resolution recovery approach which used Gaussian-PSF, with a fixed FWHM, improved the spatial resolution and enhanced image contrast compared to the standard image reconstruction. The resolution recovery method which used the MC simulated spatially variant-PSF further improved the resolution compared to the simple Gaussian-based PSF.
AB - Advances in PET scanner design and image reconstruction methods have lead to the development of high resolution emission tomographic scanners. Traditional PET reconstruction methods that do not take into account the mispositioning of the lines of response (parallax error) result in blurring images and increased distortion with increased distance from the center of the field-of-view. The image quality can be improved by performing resolution recovery (RR) using a point spread function (PSF) which describes the response of the system to point source. For a high-resolution small animal PET scanner, we studied the resolution recovery modeling in projection-space using a Gaussian-PSF or Monte-Carlo (MC) simulated PSF. We also studied the RR in image-space using the Gaussian-PSF. For this work, we used data that were acquired by scanning a Micro Deluxe phantom and a healthy mouse. The resolution recovery approach which used Gaussian-PSF, with a fixed FWHM, improved the spatial resolution and enhanced image contrast compared to the standard image reconstruction. The resolution recovery method which used the MC simulated spatially variant-PSF further improved the resolution compared to the simple Gaussian-based PSF.
UR - http://www.scopus.com/inward/record.url?scp=84904213094&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904213094&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2013.6829256
DO - 10.1109/NSSMIC.2013.6829256
M3 - Conference contribution
AN - SCOPUS:84904213094
SN - 9781479905348
T3 - IEEE Nuclear Science Symposium Conference Record
BT - 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
Y2 - 27 October 2013 through 2 November 2013
ER -