Noninvasive bi-graphical analysis for the quantification of slowly reversible radioligand binding

Seongho Seo, Su Jin Kim, Hye Bin Yoo, Jee Young Lee, Yu Kyeong Kim, Dong Soo Lee, Yun Zhou, Jae Sung Lee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this paper, we presented a novel reference-region-based (noninvasive) bi-graphical analysis for the quantification of a reversible radiotracer binding that may be too slow to reach relative equilibrium (RE) state during positron emission tomography (PET) scans. The proposed method indirectly implements the noninvasive Logan plot, through arithmetic combination of the parameters of two other noninvasive methods and the apparent tissueto- plasma efflux rate constant for the reference region (k2). We investigated its validity and statistical properties, by performing a simulation study with various noise levels and k2 values, and also evaluated its feasibility for [18F] FP-CIT PET in human brain. The results revealed that the proposed approach provides distribution volume ratio estimation comparable to the Logan plot at low noise levels while improving underestimation caused by non-RE state differently depending on k2. Furthermore, the proposed method was able to avoid noise-induced bias of the Logan plot, and the variability of its results was less dependent on k2 than the Logan plot. Therefore, this approach, without issues related to arterial blood sampling given a pre-estimate of k2 (e.g. population-based), could be useful in parametric image generation for slow kinetic tracers staying in a non-RE state within a PET scan.

Original languageEnglish (US)
Pages (from-to)6770-6790
Number of pages21
JournalPhysics in Medicine and Biology
Issue number18
StatePublished - Aug 31 2016


  • distribution volume ratio
  • graphical analysis
  • parametric image
  • positron emission tomography
  • [F]FP-CIT

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


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