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 1 aims to replace traditional complex and inefficient imaging protocols with simple, comprehensive acquisitions that also yield quantitative parameters sensitive to specific disease processes. In the first funding period of this P41 Center, our project team led the way in establishing rapid, continuous, comprehensive imaging methods, which are now available on a growing number of commercial magnetic resonance imaging (MRI) scanners worldwide. This foundation will allow us, in the proposed research plan for the next period, to enrich our data streams, to advance the extraction of actionable information from those data streams, and to feed the resulting information back into the design of our acquisition software and hardware. Thanks to developments during our first funding period, we are now in a position to question long-established assumptions about scanner design, originating from the classical imaging pipeline of human radiologists interpreting multiple series of qualitative images. We will reimagine the process of MR scanning, leveraging our core expertise in pulse-sequence design, parallel imaging, compressed sensing, model-based image reconstruction and machine learning. We will also extend our methods to complex multifaceted data streams, arising not only from MRI but also from Positron Emission Tomography (PET) and other imaging modalities, as well as from diverse arrays of complementary sensors.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
2P41EB017183-06
Application #
9804440
Study Section
Special Emphasis Panel (ZEB1)
Project Start
2014-09-30
Project End
2024-07-31
Budget Start
2019-08-01
Budget End
2020-07-31
Support Year
6
Fiscal Year
2019
Total Cost
Indirect Cost
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
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

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