NDLI: Noninvasive Estimation of the Input Function for Dynamic Mouse <formula formulatype=inline><tex Notation=TeX> $^{bf 18}$</tex></formula>F-FDG MicroPET Studies

Content Provider	IEEE Xplore Digital Library
Author	Wei Mu Zhe Chen Xiaoqian Dai Jie Tian
Copyright Year	1964
Abstract	A new noninvasive estimation method for the plasma time-activity curve, i.e., input function (IF) of the tracer kinetic model in dynamic ¹⁸F-FDG microPET mouse studies, is proposed and validated. This estimation method comprises of four steps. First, a novel constraint nonnegative matrix factorization segmentation algorithm was applied to extract the left ventricle (Lv) and myocardium (Myo) time activity curves (TACs). Second, we modeled the IF as a seven-parameter mathematical equation and constructed a dual-output model of the real TAC in Lv and Myo accounting for the partial-volume and spillover effects. Then, we fit the image-derived Lv and Myo TACs to the dual-output model to estimate the parameters of the IF. Finally, the IF was validated by comparing it to the gold standard IF while considering the delay and dispersion effects. Our method was verified based on 20 mice datasets from the Mouse Quantitation Program database, provided by UCLA. The error of the areas under the curves between the delayed and dispersed estimated IF and the gold standard IF was 7.237% ± 6.742% (r = 0.969), and the error of the ¹⁸F-FDG influx constant Ki of the Myo was 4.910% ± 6.810% (r = 0.992). The results demonstrated the effectiveness of the proposed method.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	956928
Starting Page	3103
Ending Page	3112
File Format	PDF
ISSN	00189294
Volume Number	60
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kinetics Blood pressure Liver Linear programming Estimation Bayes methods partial-volume and spillover effects Bayesian penalty term constraint nonnegative matrix factorization (CNMF) delay and dispersion effects input function
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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