NDLI: A factor-image framework to quantification of brain receptor dynamic PET studies

Content Provider	IEEE Xplore Digital Library
Author	Wang, Z.J. Szabo, Z. Peng Lei Varga, J. Liu, K.J.R.
Copyright Year	1991
Abstract	The positron emission tomography (PET) imaging technique enables the measurement of receptor distribution or neurotransmitter release in the living brain and the changes of the distribution with time and thus allows quantification of binding sites as well as the affinity of a radioligand. However, quantification of receptor binding studies obtained with PET is complicated by tissue heterogeneity in the sampling image elements (i.e., voxels, pixels). This effect is caused by a limited spatial resolution of the PET scanner. Spatial heterogeneity is often essential in understanding the underlying receptor binding process. Tracer kinetic modeling also often requires an intrusive collection of arterial blood samples. In this paper, we propose a likelihood-based framework in the voxel domain for quantitative imaging with or without the blood sampling of the input function. Radioligand kinetic parameters are estimated together with the input function. The parameters are initialized by a subspace-based algorithm and further refined by an iterative likelihood-based estimation procedure. The performance of the proposed scheme is examined by simulations. The results show that the proposed scheme provides reliable estimation of factor time-activity curves (TACs) and the underlying parametric images. A good match is noted between the result of the proposed approach and that of the Logan plot. Real brain PET data are also examined, and good performance is observed in determining the TACs and the underlying factor images.
Sponsorship	IEEE Signal Processing Society
Starting Page	3473
Ending Page	3487
Page Count	15
File Size	1721000
File Format	PDF
ISSN	1053587X
Volume Number	53
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Kinetic theory Blood Time measurement Neurotransmitters Image sampling Pixel Spatial resolution Sampling methods Parameter estimation voxel-domain quantitative imaging Brain receptor study compartmental model distribution volume dynamic imaging likelihood PET tracer kinetic modeling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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