The Center for Advanced Imaging Innovation and Research (CAI2R) combines three areas of novel and high-impact imaging technology development with a unique new model for interdepartmental and academic-industrial collaboration aimed at translating that technology rapidly and effectively into clinical practice. The technologies to be developed center around a new paradigm of rapid, continuous, and comprehensive data acquisition, together with flexible image reconstruction, which will affect and connect multiple imaging modalities, including magnetic resonance imaging (MRI) and Positron Emission Tomography (PET). Technology Research and Development (TR&D) project #1 aims at a new use of time in imaging, deploying leading-edge methods of rapid image acquisition and advanced image reconstruction to replace traditional complex, targeted, and inefficient imaging protocols with simple, comprehensive, volumetric acquisitions that contain rich information about multiple complementary contrasts and diverse dynamics. TR&D #2 envisions new and improved uses for radiofrequency (RF) fields, providing new tools for RF design, safety and control in MRI, and expanding the reach of the rapid continuous acquisition approach developed in TR&D #1 to high-performance high-field applications. TR&D #3 is addressed at new uses of simultaneity, advancing the fundamental capabilities of MR and PET through synergistic simultaneous acquisition and joint reconstruction. Our Center has a unique and explicit translational focus, which is reflected in the day-to-day operation of TR&D projects as well as in the topics of Collaborative Projects (CPs) and Service Projects (SPs), which are focused on three general areas of high public health impact: cancer, musculoskeletal disease, and neurologic disease. In keeping with this translational emphasis, CAI2R is also be driven by a novel collaboration model in which basic scientists, clinicians, and industry developers sit down together regularly at the scanners and in reading rooms for interactive technology development and assessment. This interdisciplinary collaboration model also informs our Training activities, many of which are addressed at the formation and operation of successful translational research teams. Meanwhile, with early involvement of clinical stakeholders and industry partners, we aim to make CAI2R technologies widely available for clinical and research use. Our broadest goal in CAI2R is to change the paradigms of data acquisition, image reconstruction, and day-to-day scanning for MR and PET, for the advancement of biomedical knowledge and for the benefit of patients and the physicians who care for them.

Public Health Relevance

The Center for Advanced Imaging Innovation and Research (CAI2R) develops novel imaging techniques and technologies for the improved diagnosis and management of cancer, musculoskeletal disease, and neurological disease. By exploiting connections between imaging modalities such as MRI and PET, we aim to advance the fundamental capabilities of each, so as to expand biomedical knowledge and improve the care of patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB017183-05
Application #
9538188
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Liu, Guoying
Project Start
2014-09-30
Project End
2019-07-31
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
5
Fiscal Year
2018
Total Cost
Indirect Cost
Name
New York University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
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
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

Showing the most recent 10 out of 168 publications