The goal of this proposal is to dramatically improve PET image quality using real time motion information provided by simultaneous MR imaging in PET-MRI scanners. PET imaging of the thorax is significantly limited by poor spatial resolution due to voluntary as well as internal, i.e., cardiac and respiratory, motion. Prototype small bore simultaneous MR-PET systems now exist, and whole-body MR-PET systems are under development. These systems allow measurement of the subject's 3D non-rigid motion field using MRI without additional radiation dose. We propose to develop a novel iterative PET reconstruction framework that models the MR-derived 3D non-rigid motion field in the emission and attenuation maps. We hypothesize that the resulting PET data will have markedly improved spatial resolution, signal-to-noise ratio (SNR) and quantitative accuracy. We will evaluate the performance of the methods to be developed in realistic Monte Carlo simulations, and test their feasibility in a rabbit model for the diagnoses of small thoracic tumors.

Public Health Relevance

The goal of this proposal is to dramatically improve the quality of Positron Emission Tomography by using the motion information available from real-time MRI in simultaneous PET-MRI scanners. This work would allow to freeze cardiac and respiratory motion without additional dose to the patient. We propose to develop novel reconstruction methods and evaluate them in numerical simulations and in animal studies that mimic small thoracic tumors.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21EB012326-02
Application #
8112513
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (90))
Program Officer
Sastre, Antonio
Project Start
2010-08-01
Project End
2014-07-31
Budget Start
2011-08-01
Budget End
2014-07-31
Support Year
2
Fiscal Year
2011
Total Cost
$212,510
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Huang, Chuan; Petibon, Yoann; Ouyang, Jinsong et al. (2015) Accelerated acquisition of tagged MRI for cardiac motion correction in simultaneous PET-MR: phantom and patient studies. Med Phys 42:1087-97
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
Huang, Chuan; Altbach, Maria I; El Fakhri, Georges (2014) Pattern recognition for rapid T2 mapping with stimulated echo compensation. Magn Reson Imaging 32:969-74
Petibon, Y; El Fakhri, G; Nezafat, R et al. (2014) Towards coronary plaque imaging using simultaneous PET-MR: a simulation study. Phys Med Biol 59:1203-22
Huang, Chuan; Ackerman, Jerome L; Petibon, Yoann et al. (2014) Motion compensation for brain PET imaging using wireless MR active markers in simultaneous PET-MR: phantom and non-human primate studies. Neuroimage 91:129-37
Ouyang, Jinsong; Petibon, Yoann; Huang, Chuan et al. (2014) Quantitative Simultaneous PET-MR Imaging. J Med Imaging (Bellingham) 9083:908325
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
Petibon, Yoann; Huang, Chuan; Ouyang, Jinsong et al. (2014) Relative role of motion and PSF compensation in whole-body oncologic PET-MR imaging. Med Phys 41:042503
Dutta, Joyita; Leahy, Richard M; Li, Quanzheng (2013) Non-local means denoising of dynamic PET images. PLoS One 8:e81390
Petibon, Y; Ouyang, J; Zhu, X et al. (2013) Cardiac motion compensation and resolution modeling in simultaneous PET-MR: a cardiac lesion detection study. Phys Med Biol 58:2085-102

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