Multimodality PET/CT Scanner for Small Animal Imaging

NIH RePORTER · NIH · S10 · $878,156 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY/ABSTRACT The goal of this proposal is to secure funding for an instrument dedicated to in vivo imaging of small animal models of human diseases via integrated positron emission tomography (PET)/X-ray computed tomography (CT). The instrument we propose is the GNEXT PET/CT system manufactured by Sofie Biosciences Inc. The PET component offers a high-resolution, high-sensitivity, and versatile platform for small-animal molecular imaging. The CT component is a fast, high-resolution system that enables sequential scanning for anatomy alongside molecular imaging by PET. This system will replace obsolete, stand-alone PET and CT scanners which are no longer supported by the manufacturer and for which certain key components are no longer available. The lack of support for these existing scanners is a major vulnerability for a wide range of preclinical imaging research at our institution. The PET/CT scanner will be installed at the UC Davis Center for Molecular and Genomic Imaging (CMGI), which is a campus-designated and supported core facility providing infrastructure and expertise to conduct in vivo imaging studies in small-animal models. CMGI oversees a cyclotron and radiochemistry facilities dedicated to preclinical imaging research and provides a wide range of tracers and radioligands that will be available to use with the proposed scanner. Institutional support provided to the CMGI ensures its successful operation and maintenance for its lifetime. The instrument will support at least 11 major and minor users who are conducting NIH-funded research in diverse areas such as neurology, oncology, rheumatology, orthopaedics, nanotechnology and biomedical engineering.

Key facts

NIH application ID
10429458
Project number
1S10OD030440-01A1
Recipient
UNIVERSITY OF CALIFORNIA AT DAVIS
Principal Investigator
Abhijit J Chaudhari
Activity code
S10
Funding institute
NIH
Fiscal year
2022
Award amount
$878,156
Award type
1
Project period
2022-04-15 → 2023-07-14