NDLI: Motion-compensated fully 4D PET reconstruction using PET data supersets

Content Provider	IEEE Xplore Digital Library
Author	Verhaeghe, J. Gravel, P. Mio, R. Fukasawa, R. Rosa-Neto, P. Soucy, J.-P. Thompson, C.J. Reader, A.J.
Copyright Year	2009
Description	Author affiliation: Douglas Mental Health University Institute and the Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec, H3A 2B4, Canada (Rosa-Neto, P.) \|\| McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Quebec, H3A 2B4, Canada (Verhaeghe, J.; Gravel, P.; Mio, R.; Fukasawa, R.; Soucy, J.-P.; Thompson, C.J.; Reader, A.J.)
Abstract	Patient head movement not only inhibits the full potential of high spatial-resolution neurological PET imaging, but it also significantly degrades fully 4D reconstruction when using temporally-extensive basis functions. In this case a single movement in just one of the time frames propagates to impact the reconstruction of all other time frames. Here we propose a motion-compensation strategy through the use of PET data supersets and demonstrate its application to fully 4D reconstruction. The richly-sampled superset is populated by considering head motion as equivalent to shifts in scanner position. This requires the positioning of the list-mode events into the superset and the creation of time-dependent normalisation factors for the superset. An advantage of this approach is that the attenuation factors for the superset need only be computed once for the reference position. This approach adapts readily for use with existing fully 4D reconstruction methods with the only modification being the introduction of time-dependent normalisation factors. Using simulated as well as real high-resolution PET data from the HRRT, we demonstrate both the detrimental impact of head motion in fully 4D PET reconstruction as well as the efficacy of our proposed motion-compensation method. This is an important step towards realising the potential of fully 4D reconstruction methods for patient studies.
Starting Page	3000
Ending Page	3004
File Size	794892
Page Count	5
File Format	PDF
ISBN	9781424439614
ISSN	10957863
DOI	10.1109/NSSMIC.2009.5401590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Image reconstruction Head Reconstruction algorithms Optical devices Optical noise Optical attenuators Interpolation Statistical distributions Optical imaging
Content Type	Text
Resource Type	Article

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