Training and Dissemination CAI2R Training and Dissemination Principal Investigators: Riccardo Lattanzi, PhD (Training) and Tobias Block, PhD (Dissemination) 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. The Training activities of CAI2R are addressed at educating students and collaborators in the best use of our technologies, and also at investigating and sharing best practices in the formation and operation of successful translational research teams. Our Dissemination activities, meanwhile, aim to maximize the availability and impact of our technologies, through both academic and industrial pathways.
Specific aims are as follows: (1) To provide students and collaborators with hands-on translational and clinical research training. (2) To offer the embedded multidisciplinary interaction that is a foundation of CAI2R to outside collaborators and users. (3) To provide source code and software resources openly to the academic research community and to stimulate inter-institutional collaboration. (4) To integrate industrial partners into the onsite development process, providing immediate clinical feedback and accelerating commercial adoption of new imaging techniques and technologies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB017183-02
Application #
8932690
Study Section
Special Emphasis Panel (ZEB1)
Project Start
Project End
Budget Start
2015-08-01
Budget End
2016-07-31
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Piekarski, Eve; Chitiboi, Teodora; Ramb, Rebecca et al. (2018) Two-dimensional XD-GRASP provides better image quality than conventional 2D cardiac cine MRI for patients who cannot suspend respiration. MAGMA 31:49-59
Lattanzi, Riccardo; Wiggins, Graham C; Zhang, Bei et al. (2018) Approaching ultimate intrinsic signal-to-noise ratio with loop and dipole antennas. Magn Reson Med 79:1789-1803
Storey, Pippa; Gonen, Oded; Rosenkrantz, Andrew B et al. (2018) Quantitative Proton Spectroscopy of the Testes at 3 T: Toward a Noninvasive Biomarker of Spermatogenesis. Invest Radiol 53:87-95
Feng, Li; Coppo, Simone; Piccini, Davide et al. (2018) 5D whole-heart sparse MRI. Magn Reson Med 79:826-838
Benkert, Thomas; Tian, Ye; Huang, Chenchan et al. (2018) Optimization and validation of accelerated golden-angle radial sparse MRI reconstruction with self-calibrating GRAPPA operator gridding. Magn Reson Med 80:286-293
Wake, Nicole; Chandarana, Hersh; Rusinek, Henry et al. (2018) Accuracy and precision of quantitative DCE-MRI parameters: How should one estimate contrast concentration? Magn Reson Imaging 52:16-23
Lee, Hong-Hsi; Sodickson, Daniel K; Lattanzi, Riccardo (2018) An analytic expression for the ultimate intrinsic SNR in a uniform sphere. Magn Reson Med 80:2256-2266
Lattanzi, Riccardo; Zhang, Bei; Knoll, Florian et al. (2018) Phase unwinding for dictionary compression with multiple channel transmission in magnetic resonance fingerprinting. Magn Reson Imaging 49:32-38
Madelin, Guillaume; Xia, Ding; Brown, Ryan et al. (2018) Longitudinal study of sodium MRI of articular cartilage in patients with knee osteoarthritis: initial experience with 16-month follow-up. Eur Radiol 28:133-142
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

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