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.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Biotechnology Resource Grants (P41)
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Special Emphasis Panel (ZEB1-OSR-E (O1))
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Liu, Guoying
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New York University
Schools of Medicine
New York
United States
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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 :

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