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PET Imaging of Leg Arteries for Determining the Input Function in PET/MRI Brain Studies Using a Compact, MRI-Compatible PET System

  • Shouyi Wei
  • , Nandita Joshi
  • , Michael Salerno
  • , David Ouellette
  • , Lemise Saleh
  • , Christine Delorenzo
  • , Craig Woody
  • , David Schlyer
  • , Martin L. Purschke
  • , Jean Francois Pratte
  • , Sachin Junnarkar
  • , Michael Budassi
  • , Tuoyu Cao
  • , Jack Fried
  • , Joel S. Karp
  • , Paul Vaska
  • Stony Brook University
  • New York Proton Center
  • Merck
  • University of Pennsylvania
  • Cornell University
  • United States Department of Energy
  • Université de Sherbrooke
  • Field Viewers Inc.

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this study, we used a compact, high-resolution, and magnetic resonance imaging (MRI)-compatible positron emission tomography (PET) camera (VersaPET) to assess the feasibility of measuring the image-derived input function (IDIF) from arteries in the leg with the ultimate goal of enabling fully quantitative PET brain imaging without blood sampling. We used this approach in five 18F-FDG PET/MRI brain studies in which the input function was also acquired using the gold standard of serial arterial blood sampling. After accounting for partial volume, dispersion, and calibration effects, we compared the metabolic rates of glucose (MRglu) quantified from VersaPET IDIFs in 80 brain regions to those using the gold standard and achieved a bias and variability of <5% which is within the range of reported test-retest values for this type of study. We also achieved a strong linear relationship ( R2 > 0.97 ) against the gold standard across regions. The results of this preliminary study are promising and support further studies to optimize methods, validate in a larger cohort, and extend to the modeling of other radiotracers.

Original languageEnglish
Pages (from-to)583-591
Number of pages9
JournalIEEE Transactions on Radiation and Plasma Medical Sciences
Volume6
Issue number5
DOIs
StatePublished - May 1 2022

Keywords

  • Compartmental modeling
  • Functional brain imaging
  • High-resolution PET
  • Image-derived input function (IDIF)
  • Positron emission tomography (PET)
  • Tracer kinetic modeling

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