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
Sbrizzi, Alessandro; Heide, Oscar van der; Cloos, Martijn et al. (2018) Fast quantitative MRI as a nonlinear tomography problem. Magn Reson Imaging 46:56-63
Lakshmanan, Karthik; Brown, Ryan; Madelin, Guillaume et al. (2018) An eight-channel sodium/proton coil for brain MRI at 3 T. NMR Biomed 31:
Winters, Kerryanne V; Reynaud, Olivier; Novikov, Dmitry S et al. (2018) Quantifying myofiber integrity using diffusion MRI and random permeable barrier modeling in skeletal muscle growth and Duchenne muscular dystrophy model in mice. Magn Reson Med 80:2094-2108
Hammernik, Kerstin; Klatzer, Teresa; Kobler, Erich et al. (2018) Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med 79:3055-3071
Vaidya, Manushka V; Lazar, Mariana; Deniz, Cem M et al. (2018) Improved detection of fMRI activation in the cerebellum at 7T with dielectric pads extending the imaging region of a commercial head coil. J Magn Reson Imaging 48:431-440
Kirov, Ivan I; Kuzniecky, Ruben; Hetherington, Hoby P et al. (2018) Whole brain neuronal abnormalities in focal epilepsy quantified with proton MR spectroscopy. Epilepsy Res 139:85-91
Feng, Li; Huang, Chenchan; Shanbhogue, Krishna et al. (2018) RACER-GRASP: Respiratory-weighted, aortic contrast enhancement-guided and coil-unstreaking golden-angle radial sparse MRI. Magn Reson Med 80:77-89
Wadghiri, Youssef Z; Hoang, Dung Minh; Leporati, Anita et al. (2018) High-resolution Imaging of Myeloperoxidase Activity Sensors in Human Cerebrovascular Disease. Sci Rep 8:7687
Haemer, Gillian G; Vaidya, Manushka; Collins, Christopher M et al. (2018) Approaching ultimate intrinsic specific absorption rate in radiofrequency shimming using high-permittivity materials at 7 Tesla. Magn Reson Med 80:391-399
Vaidya, Manushka V; Deniz, Cem M; Collins, Christopher M et al. (2018) Manipulating transmit and receive sensitivities of radiofrequency surface coils using shielded and unshielded high-permittivity materials. MAGMA 31:355-366

Showing the most recent 10 out of 168 publications