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. With the other three Technology Research and development (TR&D) Projects in our Center focused on generating rich, quantitative data streams, a key question remains: What do these data streams really mean at the level of tissue function? Answering such a question requires bridging spatial scales from the macroscopic (millimeter) dimensions of image voxels to the mesoscopic (micrometer) dimensions of cells, where many disease processes originate. An ability to map cellular-level biophysical parameters would open new productive avenues for both clinical applications and basic research. In TR&D Project 4, we will integrate tissue microstructure mapping into comprehensive image acquisitions, to achieve specificity to tissue changes at the cellular level, for understanding physiology and pathology, for earliest disease detection, for monitoring of disease progression, and for quantification of treatment efficacy. The overarching goal of this project is to transform MRI from an imaging device to an accurate and precise scientific instrument for measuring microstructural tissue parameters.
Our Specific Aims are 1) To establish the underlying biophysical information content of MRI data, using methods from mesoscopic physics; 2) To develop and validate biophysical models for the microstructure of brain, muscle, and cancer tissues, which may be used to convert image data to microstructural maps in patients with neurological, musculoskeletal, or oncologic disorders; and 3) To translate these modeling and mapping approaches into clinical practice.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB017183-07
Application #
9996682
Study Section
Special Emphasis Panel (ZEB1)
Project Start
2014-09-30
Project End
2024-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
7
Fiscal Year
2020
Total Cost
Indirect Cost
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Chen, Gang; Zhang, Bei; Cloos, Martijn A et al. (2018) A highly decoupled transmit-receive array design with triangular elements at 7T. Magn Reson Med 80:2267-2274
Assländer, Jakob; Cloos, Martijn A; Knoll, Florian et al. (2018) Low rank alternating direction method of multipliers reconstruction for MR fingerprinting. Magn Reson Med 79:83-96
Alon, Leeor; Lattanzi, Riccardo; Lakshmanan, Karthik et al. (2018) Transverse slot antennas for high field MRI. Magn Reson Med 80:1233-1242
Feng, Li; Delacoste, Jean; Smith, David et al. (2018) Simultaneous Evaluation of Lung Anatomy and Ventilation Using 4D Respiratory-Motion-Resolved Ultrashort Echo Time Sparse MRI. J Magn Reson Imaging :
Liu, Saifeng; Brisset, Jean-Christophe; Hu, Jiani et al. (2018) Susceptibility weighted imaging and quantitative susceptibility mapping of the cerebral vasculature using ferumoxytol. J Magn Reson Imaging 47:621-633
Leithner, Doris; Moy, Linda; Morris, Elizabeth A et al. (2018) Abbreviated MRI of the Breast: Does It Provide Value? J Magn Reson Imaging :
Khegai, Oleksandr; Madelin, Guillaume; Brown, Ryan et al. (2018) Dynamic phosphocreatine imaging with unlocalized pH assessment of the human lower leg muscle following exercise at 3T. Magn Reson Med 79:974-980
Wang, Yuan; Wang, Yao; Lui, Yvonne W (2018) Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis. Neuroimage 178:385-402
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

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