Technology Research and Development Project #1 Towards Rapid Continuous Comprehensive MR Imaging: New Methods, New Paradigms, and New Applications TR&D #1 Principal Investigators: Ricardo Otazo, PhD and Daniel K. Sodickson, MD, PhD 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 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.
Specific aims are as follows: (1) New methods: Develop novel rapid MR acquisition and reconstruction strategies specifically tailored to the needs of collaborative and service projects, taking advantage of compressed sensing, parallel imaging and model-based reconstruction. (2) New paradigm: Establish a new paradigm for MR scanning, using continuously-updated motion-robust comprehensive acquisitions eliminating dead time, coupled with tailored image reconstructions with user- defined contrast and spatiotemporal profiles. (3) New applications: Implement this new scanning paradigm in collaborative and service projects and evaluate its efficacy in routine patient populations for high-volume high-impact clinical applications.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
1P41EB017183-01A1
Application #
8794073
Study Section
Special Emphasis Panel (ZEB1-OSR-E (O1))
Project Start
Project End
Budget Start
2014-09-30
Budget End
2015-07-31
Support Year
1
Fiscal Year
2014
Total Cost
$324,636
Indirect Cost
$83,169
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Ostenson, Jason; Pujara, Akshat C; Mikheev, Artem et al. (2016) Voxelwise analysis of simultaneously acquired and spatially correlated (18) F-fluorodeoxyglucose (FDG)-PET and intravoxel incoherent motion metrics in breast cancer. Magn Reson Med :
Bin Zahid, Abdullah; Mikheev, Artem; Srivatsa, Neha et al. (2016) Accelerated Brain Atrophy on Serial Computed Tomography: Potential Marker of the Progression of Alzheimer Disease. J Comput Assist Tomogr 40:827-32
Wile, Daryl J; Dinelle, Katie; Vafai, Nasim et al. (2016) A scan without evidence is not evidence of absence: Scans without evidence of dopaminergic deficit in a symptomatic leucine-rich repeat kinase 2 mutation carrier. Mov Disord 31:405-9
Alon, Leeor; Deniz, Cem Murat; Carluccio, Giuseppe et al. (2016) Effects of Anatomical Differences on Electromagnetic Fields, SAR, and Temperature Change. Concepts Magn Reson Part B Magn Reson Eng 46:8-18
Ben-Eliezer, Noam; Sodickson, Daniel K; Shepherd, Timothy et al. (2016) Accelerated and motion-robust in vivo T2 mapping from radially undersampled data using bloch-simulation-based iterative reconstruction. Magn Reson Med 75:1346-54
Axel, Leon; Otazo, Ricardo (2016) Accelerated MRI for the assessment of cardiac function. Br J Radiol 89:20150655
Koesters, Thomas; Friedman, Kent P; Fenchel, Matthias et al. (2016) Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain. J Nucl Med 57:918-24
Hoch, M J; Chung, S; Ben-Eliezer, N et al. (2016) New Clinically Feasible 3T MRI Protocol to Discriminate Internal Brain Stem Anatomy. AJNR Am J Neuroradiol 37:1058-65
Brown, Ryan; Lakshmanan, Karthik; Madelin, Guillaume et al. (2016) A flexible nested sodium and proton coil array with wideband matching for knee cartilage MRI at 3T. Magn Reson Med 76:1325-34
Benkert, Thomas; Feng, Li; Sodickson, Daniel K et al. (2016) Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging. Magn Reson Med :

Showing the most recent 10 out of 71 publications