Research Output

Overall Research Output

Since its founding in 2014, our Center has been responsible for numerous innovations, both in the form of concrete technologies and in the form of emerging trends in imaging research and practice which we have helped to initiate. Since our founding, we have enabled scores of scientific investigations through Collaborative and Service Projects. We have also contributed new knowledge and made theoretical advances, as evidenced by our extensive publication record.

Scope and Geographic Diversity

Since the start of funding in October of 2014, our network of Collaborative Projects has grown from 22 to 58, and our Service Project list has grown from 24 to 62. This rapid expansion reflects our concentrated efforts at collaboration, translation, and also training and dissemination.

The national and international reach of our Center has also grown dramatically: our original complement of collaborative and service projects involved 16 distinct institutions concentrated in the US, whereas our current complement spans both the country and the globe (59 institutions in 12 countries).

Downloads of tools from our website are likewise global in distribution, with more than 6,000 downloads since 2014.

Since founding, our Center has published more than 280 peer-reviewed articles and filed more than 40 patent applications. This output corresponds to a return of 7 articles and 1 patent for every $18,000 of direct cost investment by the NIH.

Full Arc of Translation

The 2017 release by Siemens of our continuous imaging method called GRASP—Golden-angle RAdial Sparse Parallel MRI—to the medical imaging market shows that the matrixed collaborative research and development model that underpins our Center can deliver new, needed technologies rapidly to the clinic.

GRASP, now used in approximately 70 clinical scans per day at NYU alone, has also been evaluated, with our help, at 17 collaborative sites worldwide, and is available with new Siemens scanners under the name Radial GRASP-VIBE.

We have extended the continuous-imaging capabilities of GRASP still further by adding free-breathing fat/water separation in a technique called Dixon-RAVE. We described the technique in published papers, and the ISMRM honored the work in 2017 with the I.I. Rabi Young Investigator Award.

Artificial Intelligence

Our Center has been at the vanguard of investigations into the potential of artificial intelligence to transform image reconstruction.

Together with colleagues from Graz University in Austria, our group was the first to publish on MR image reconstruction with deep learning, influencing the growing groundswell of research into AI methods in imaging. Our early work in the area was recognized by ISMRM awards and MRM journal editors’ recommendations, helping stimulate a rich body of related work by other research groups.

To continue leading the field in AI applications, we have leveraged strong departmental and institutional support to purchase and install state-of-the-art supercomputing infrastructure, and we are building a robust AI research team.

We have partnered with Facebook Artificial Intelligence Research (FAIR), a team with leading expertise in AI, to accelerate development and translation. With FAIR, we have committed to making all resulting advances available as open-source resources.

In addition to our core work in MR, we are also exploring machine learning applications in other modalities such as CT and PET.

Hardware for a New Imaging Paradigm

Our research is moving biomedical imaging toward greater flexibility both by embracing field inhomogeneities and by developing ultraflexible detectors, even as we are reducing engineering uncertainty by refining the theory governing coil signal-to-noise ratio (SNR).

Earlier this year, our Center dissolved a quarter-century-long constraint on RF coil array architecture by inventing a new type of flexible detector array comprised of high-impedance elements. The array flexes with the anatomy and does not suffer from interference among elements, opening opportunities for study of the biomechanics of human joints in unprecedented detail. Our article detailing the advance was featured on the cover of Nature Biomedical Engineering and received wide attention, in both research and popular media.

In addition, our Center has continued to engineer state-of-the-art RF coils for simultaneous multinuclear imaging of phosphorus or sodium and hydrogen, both for MRI and for combined MR-PET acquisitions. We have also made theoretical advances, for example in the form of our recently described “Optimality Principle,” which provides key intuition about and rapid computation of the best possible RF coil performance. We have refined our plug-and-play parallel transmit MR fingerprinting approach, described in a 2016 Nature Communications article, to facilitate acquisition of quantitative parametric maps at ultra-high-field with unrivaled accuracy. Moreover, our scientists have made a related theoretical discovery, finding a way to significantly simplify experimental design in research areas that involve complex spin dynamics—including in MR fingerprinting, a paradigm known for intricacy that confounds intuition.

Multimodal Imaging

Our scientists have developed a prototype of RF-based motion correction device for PET imaging. The prototype, called Pilot Tone, is now being investigated by Siemens as a possible commercial product.

PET tracer-related research has significantly increased at our BTRC since our radiochemistry facility, comprised of a cyclotron and suite of laboratories integrated with the imaging clinic, became operational in early 2017. For example, 13 new tracers have been developed by our radiochemistry team by the end of 2018.

Numerous collaborative projects are underway with scientists investigating preclinical and clinical applications of tracers in conditions as diverse as glioblastoma, amyotrophic lateral sclerosis, dementia, Parkinson’s disease, Alzheimer’s disease, epilepsy, atherosclerosis, schizophrenia, and cognitive insensitivity to pain with anhidrosis.


Latest Updates

01/14/2019 - 16:02
01/14/2019 - 16:01

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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