Abstract

Technology Research and Development Project #3 Advancing MR and PET Through Synergistic Simultaneous Acquisition and Joint Reconstruction TR&D #3 Principal Investigators: Fernando Boada, PhD, Yu-Shin Ding, PhD, and Johan Nuyts, PhD The broad mission of our Center for Advanced Imaging Innovation and Research (CAI2R) is to bring together collaborative translational research teams for the development of high-impact biomedical imaging technologies, with the ultimate goal of changing day-to-day clinical practice. Technology Research and Development (TR&D) project #3 is addressed at new uses of simultaneity, advancing the fundamental capabilities of MR and PET through synergistic simultaneous acquisition and joint reconstruction.
Specific aims are as follows: (1) Develop MR-based motion correction algorithms for PET. (2) Develop constrained reconstruction approaches for PET and combined MR-PET. (3) Develop and validate integrated physiological modeling for concurrently acquired MR and PET data. (4) Develop MR-PET tracers to support collaborative and service projects.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB017183-05
Application #
9538196
Study Section
Special Emphasis Panel (ZEB1)
Project Start
Project End
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
5
Fiscal Year
2018
Total Cost
Indirect Cost

  Institution

Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016

  Publications

Assländer, Jakob; Glaser, Steffen J; Hennig, Jürgen (2018) Application of spin echoes in the regime of weak dephasing to T1 -mapping of the lung. Magn Reson Med 79:960-967
Rezaei, Ahmadreza; Deroose, Christophe M; Vahle, Thomas et al. (2018) Joint Reconstruction of Activity and Attenuation in Time-of-Flight PET: A Quantitative Analysis. J Nucl Med 59:1630-1635
Lemberskiy, Gregory; Fieremans, Els; Veraart, Jelle et al. (2018) Characterization of prostate microstructure using water diffusion and NMR relaxation. Front Phys 6:
Baete, Steven H; Chen, Jingyun; Lin, Ying-Chia et al. (2018) Low Rank plus Sparse decomposition of ODFs for improved detection of group-level differences and variable correlations in white matter. Neuroimage 174:138-152
Vaidya, Manushka V; Sodickson, Daniel K; Collins, Christopher M et al. (2018) Disentangling the effects of high permittivity materials on signal optimization and sample noise reduction via ideal current patterns. Magn Reson Med :
Zibetti, Marcelo V W; Sharafi, Azadeh; Otazo, Ricardo et al. (2018) Accelerating 3D-T1? mapping of cartilage using compressed sensing with different sparse and low rank models. Magn Reson Med 80:1475-1491
Chawla, Sanjeev; Kister, Ilya; Sinnecker, Tim et al. (2018) Longitudinal study of multiple sclerosis lesions using ultra-high field (7T) multiparametric MR imaging. PLoS One 13:e0202918
Schramm, Georg; Holler, Martin; Rezaei, Ahmadreza et al. (2018) Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction. IEEE Trans Med Imaging 37:590-603
Yoon, Jeong Hee; Lee, Jeong Min; Yu, Mi Hye et al. (2018) Evaluation of Transient Motion During Gadoxetic Acid-Enhanced Multiphasic Liver Magnetic Resonance Imaging Using Free-Breathing Golden-Angle Radial Sparse Parallel Magnetic Resonance Imaging. Invest Radiol 53:52-61
Yu, Zidan; Zhao, Tiejun; Assländer, Jakob et al. (2018) Exploring the sensitivity of magnetic resonance fingerprinting to motion. Magn Reson Imaging 54:241-248

Showing the most recent 10 out of 168 publications