@article{oai:repo.qst.go.jp:00047330,
 author = {Ito, Hiroshi and Yokoi, Takashi and Ikoma, Yoko and Shidahara, Miho and Seki, Chie and Naganawa, Mika and Takahashi, Hidehiko and Takano, Harumasa and Kimura, Yuichi and Ichise, Masanori and Suhara, Tetsuya and 伊藤 浩 and 横井 孝司 and 生駒 洋子 and 志田原 美保 and 関 千江 and 長縄 美香 and 高橋 英彦 and 高野 晴成 and 木村 裕一 and 市瀬 正則 and 須原 哲也},
 issue = {1},
 journal = {NeuroImage},
 month = {Jan},
 note = {In positron emission tomography (PET) studies with radioligands for neuroreceptors, tracer kinetics have
been described by the standard two-tissue compartment model that includes the compartments of
nondisplaceable binding and specific binding to receptors. In the present study, we have developed a new
graphic plot analysis to determine the total distribution volume (VT) and nondisplaceable distribution
volume (VND) independently, and therefore the binding potential (BPND). In this plot, Y(t) is the ratio of brain
tissue activity to time-integrated arterial input function, and X(t) is the ratio of time-integrated brain tissue
activity to time-integrated arterial input function. The x-intercept of linear regression of the plots for early
phase represents VND, and the x-intercept of linear regression of the plots for delayed phase after the
equilibrium time represents VT. BPND can be calculated by BPND=VT/VND−1. Dynamic PET scanning with
measurement of arterial input function was performed on six healthy men after intravenous rapid bolus
injection of [11C]FLB457. The plot yielded a curve in regions with specific binding while it yielded a straight
line through all plot data in regions with no specific binding. VND, VT, and BPND values calculated by the
present method were in good agreement with those by conventional non-linear least-squares fitting
procedure. This method can be used to distinguish graphically whether the radioligand binding includes
specific binding or not.},
 pages = {578--586},
 title = {A new graphic plot analysis for determination of neuroreceptor binding in positron emission tomography studies},
 volume = {49},
 year = {2010}
}