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 #
5R01CA165221-03
Application #
8657930
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Zhang, Huiming
Project Start
2012-05-01
Project End
2017-04-30
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
3
Fiscal Year
2014
Total Cost
$464,155
Indirect Cost
$197,399
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Zhang, Xiaomeng; Chen, Yen-Lin E; Lim, Ruth et al. (2016) Synergistic role of simultaneous PET/MRI-MRS in soft tissue sarcoma metabolism imaging. Magn Reson Imaging 34:276-9
Lorsakul, Auranuch; Fakhri, Georges El; Worstell, William et al. (2016) Numerical observer for atherosclerotic plaque classification in spectral computed tomography. J Med Imaging (Bellingham) 3:035501
Huang, C; Ouyang, J; Reese, T G et al. (2015) Continuous MR bone density measurement using water- and fat-suppressed projection imaging (WASPI) for PET attenuation correction in PET-MR. Phys Med Biol 60:N369-81
Malave, Peter; Sitek, Arkadiusz (2015) Bayesian Analysis of a One Compartment Kinetic Model Used in Medical Imaging. J Appl Stat 42:98-113
Herraiz, J L; Sitek, A (2015) Sensitivity estimation in time-of-flight list-mode positron emission tomography. Med Phys 42:6690-702
Grogg, Kira; Alpert, Nathaniel M; Zhu, Xuping et al. (2015) Mapping (15)O production rate for proton therapy verification. Int J Radiat Oncol Biol Phys 92:453-9
Dutta, Joyita; Huang, Chuan; Li, Quanzheng et al. (2015) Pulmonary imaging using respiratory motion compensated simultaneous PET/MR. Med Phys 42:4227-40
Rakvongthai, Yothin; Worstell, William; El Fakhri, Georges et al. (2015) Spectral CT using multiple balanced K-edge filters. IEEE Trans Med Imaging 34:740-7
Normandin, Marc D; Yuan, Hushan; Wilks, Moses Q et al. (2015) Heat-Induced Radiolabeling of Nanoparticles for Monocyte Tracking by PET. Angew Chem Int Ed Engl 54:13002-6
Mananga, Eugene S; Moghaddasi, Jalil; Sana, Ajaz et al. (2015) Advances in Theory of Solid-State Nuclear Magnetic Resonance. J Nat Sci 1:e109

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