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

Journal Article · · IEEE Transactions on Radiation and Plasma Medical Sciences
ORCiD logo [1];  [2];  [3]; ORCiD logo [4];  [5];  [5]; ORCiD logo [6];  [6]; ORCiD logo [6];  [7];  [8];  [9];  [10];  [6]; ORCiD logo [11]; ORCiD logo [5]
  1. Stony Brook Univ., NY (United States); New York Proton Center, NY (United States)
  2. Stony Brook Univ., NY (United States); Merck Research Laboratories, Boston, MA (United States)
  3. Stony Brook Univ., NY (United States); Univ. of Pennsylvania, Philadelphia, PA (United States)
  4. Stony Brook Univ., NY (United States); Weill Cornell Medicine, New York, NY (United States)
  5. Stony Brook Univ., NY (United States)
  6. Brookhaven National Lab. (BNL), Upton, NY (United States)
  7. Univ. of Sherbrooke, QC (Canada)
  8. Field Viewers Inc., Wheeling, IL (United States)
  9. Stony Brook Univ., NY (United States); Fremantle Media North America, New York, NY (United States)
  10. UIH America, Houston, TX (United States)
  11. Univ. of Pennsylvania, Philadelphia, PA (United States)
+ Show Author Affiliations

In this work, 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.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
National Institutes of Health (NIH); Small Animal Imaging Resource Program; USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC02-98CH10886; SC0012704
OSTI ID:
1871827
Report Number(s):
BNL-223042-2022-JAAM
Journal Information:
IEEE Transactions on Radiation and Plasma Medical Sciences, Journal Name: IEEE Transactions on Radiation and Plasma Medical Sciences Journal Issue: 5 Vol. 6; ISSN 2469-7311
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

References (28)

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Quantitative accuracy of HRRT lIST-MODE reconstructions: Effect of low statistics
  • Planeta-Wilson, Beata; Yan, Jianhua; Mulnix, Tim
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First results from the BNL/Penn PET-MRI system for whole body rodent imaging at 9.4T
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A Noninvasive LSO-APD Blood Radioactivity Monitor for PET Imaging Studies journal October 2003
The RatCAP Front-End ASIC journal October 2008
Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method journal July 2016
Reference values of vessel diameters, stenosis prevalence, and arterial variations of the lower limb arteries in a male population sample using contrast-enhanced MR angiography journal June 2018
Promise of Fully Integrated PET/MRI: Noninvasive Clinical Quantification of Cerebral Glucose Metabolism journal August 2019

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