Publication
Title
Estimation of and correction for finite motion sampling errors in small animal PET rigid motion correction
Author
Abstract
Motion tracking with finite time sampling causing an associated unknown residual motion between two motion measurements is one of the factors contributing to resolution loss in small animal PET motion correction. The aim of this work is (i) to provide a means to estimate the effect of the finite motion sampling on the spatial resolution of the motion correction reconstructions and (ii) to correct for this residual motion thereby minimizing resolution loss. We calculate a tailored spatially variant deconvolution kernel from the measured motion data which is then used to deconvolve the motion corrected image using a 3D Richardson-Lucy algorithm. A simulation experiment of numerical phantoms as well as a microDerenzo phantom experiment wherein the phantom was manually moved at different speeds was performed to assess the performance of our proposed method. In the motion corrected images of the microDerenzo phantom there was an average rod FWHM differences between the slow and fast motion cases of 9.7%. This difference was reduced to 5.8% after applying the residual motion deconvolution. In awake animal experiments, the proposed method can serve to mitigate the finite sampling factor degrading the spatial resolution as well as the resolution differences between fast-moving and slow-moving animals.
Language
English
Source (journal)
Medical and biological engineering and computing. - Oxford
Publication
Oxford : 2019
ISSN
0140-0118 [print]
1741-0444 [online]
DOI
10.1007/S11517-018-1899-8
Volume/pages
57 :2 (2019) , p. 505-518
ISI
000456747000013
Pubmed ID
30242596
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Non-invasive motion tracking for awake rat brain positron emission tomography with in vivo validation.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 02.10.2018
Last edited 04.03.2024
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