The goals of this research are to develop novel quantitative methods for simultaneous whole- body (WB) PET-MR imaging, validate these methods in a woodchuck model of spontaneous hepatocellular carcinoma and evaluate their clinical value, compared to PET-CT, in monitoring response to therapy in liver metastases. Simultaneous PET-MR is a novel and promising imaging modality that is generating substantial interest in the medical community and offers the scientific community many challenges and opportunities. Unlike sequentially- acquired WB PET-CT scans, the simultaneous acquisition of MR and PET data can be used to incorporate MR motion and anatomical MR priors within the PET reconstruction model. We hypothesize that the additional MR information will yield substantial improvement of PET in terms of lesion detection and activity estimation. We have formed a multi-disciplinary team that consists of scientists and clinicians to develop quantitative methods for PET-MR and evaluate clinically the improvement that can be achieved over conventional sequential PET-CT.

Public Health Relevance

Simultaneous PET-MR is a novel and promising imaging modality that is generating substantial interest in the medical community and offers the scientific community many challenges and opportunities. The goals of this research are to develop novel quantitative methods for simultaneous whole-body PET-MR imaging, validate these methods in an animal model and evaluate their clinical value, compared to PET-CT, in monitoring response to cancer therapy.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA165221-01A1
Application #
8303686
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Zhang, Huiming
Project Start
2012-05-01
Project End
2017-04-30
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
1
Fiscal Year
2012
Total Cost
$531,218
Indirect Cost
$215,356
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
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Huang, Chuan; Ackerman, Jerome L; Petibon, Yoann et al. (2014) MR-based motion correction for PET imaging using wired active MR microcoils in simultaneous PET-MR: phantom study. Med Phys 41:041910
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Nappi, Carmela; El Fakhri, Georges (2013) State of the Art in Cardiac Hybrid Technology: PET/MR. Curr Cardiovasc Imaging Rep 6:338-345
Ouyang, Jinsong; Li, Quanzheng; El Fakhri, Georges (2013) Magnetic resonance-based motion correction for positron emission tomography imaging. Semin Nucl Med 43:60-7

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