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CAI²R (pronounced care) is a National Biomedical Technology Resource Center supported by the
National Institute of Biomedical Imaging and Bioengineering and operated by NYU Langone Health.

News & Highlights

"Seeing the Invisible"

On Monday, March 30th, Dmitry Novikov will give a talk on breaking through the Magnetic Resonance Imaging (MRI) resolution limits to the tissue microstructure below.

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"Seeing the Invisible," a lecture by Dmitry Novikov

On Monday, March 30th, Dmitry Novikov, Assistant Professor at NYU Center for Biomedical Imaging, will give a talk on breaking through the Magnetic Resonance Imaging (MRI) resolution limits to the tissue microstructure below.
MRI allows clinicians to see structures as small as one millimeter, roughly at the resolution of unaided human sight. At this scale, we can distinguish tissues—but not individual cells they’re composed of. “It’s a hard limit,” said Dr. Novikov in an interview, noting that to see such minutiae through MRI in vivo radiologists would have to scan patients with prohibitively strong magnets for extraordinarily long periods. In other words, “you cannot buy your way out of the limit”—but you may be able to think your way out.
In his lecture, titled Seeing the invisible: Tissue structure at the cellular lever with MRI, Dr. Novikov will talk about using MRI to glimpse microstructures one thousand times smaller than one millimeter. “That’s where physiology happens, that’s where pathology develops,” he noted. This relatively new and still emerging way of seeing depends on taking MRI measurements with conventional millimeter-scale resolution, and developing theoretical models to interpret the resulting data in terms of changes occurring at the scale of microns.
Dr. Novikov’s lecture is a part of the Translational Research In Progress (TRIP) Seminar series hosted by the Clinical and Translational Science Institute, an interdisciplinary partnership among New York University, the NYU Langone Medical Center, and the New York City Health and Hospitals Corporation.
Details: Monday, March 30th, 1:00pm, Smilow Research Center (map), 1st Floor Multipurpose Room.

Model-Based DTI

In a paper published recently in NMR in Biomedicine, Florian Knoll describes a new way to reconstruct parametric maps from scan data in diffusion MRI.

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SPIE 2015 Lecture

During this year’s SPIE Medical Imaging conference, CAI²R's Dan Sodickson gave a plenary lecture on "The Rapid Imaging Renaissance", which is now available online.

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Researchers at NYU’s Center for Advanced Imaging Innovation Research have developed a new way to measure changes in microstructure of muscle fiber.

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Diffusion Imaging of Cartilage Makes JMRI Cover

The journal JMRI highlights Jose Raya's work on diffusion tensor imaging assessments of articular cartilage.

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Diffusion Imaging to Assess Cartilage Makes JMRI Cover

In the June issue of the Journal of Magnetic Resonance Imaging, Dr. Raya, who develops methods for early detection of osteoarthritis, describes diffusion tensor imaging (DTI) techniques for assessment of cartilage composition and structure. In particular, he employs two DTI measures—mean diffusivity and fractional anisotropy—to evaluate two fundamental elements of cartilage tissue—proteoglycan and collagen.

The images on the cover of JMRI show longitudinal changes in DTI measurements of the knee in two patients diagnosed with osteoarthritis. The data indicate that proteoglycan content may decrease even as the structure of collagen fibers remains relatively stable. The results also demonstrate that diffusion parameters can characterize physiological changes occurring over time. Read about this and related techniques in Dr. Raya’s paper, Techniques and application of in vivo diffusion imaging of articular cartilage.

MRI for Next Generation Smartphones

NYU researchers advocate new wireless safety standards, with MRI playing key role.

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NYU at ISMRM 2015

CAI2R scientists presented latest research and shared expertise at the 23rd annual meeting of the International Society for Magnetic Resonance in Medicine.

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Fernando Boada Named Distinguished Investigator

The Academy of Radiology Research, has named CAI2R director Fernando Boada a Distinguished Investigator.

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An advocacy based in Washington, D.C., the Academy of Radiology Research champions recognition of the role of imaging research in medical practice, and advocates dedicated funding for imaging technologies that profoundly influence healthcare.

This year the academy has honored Dr. Fernando Boada alongside 36 researchers “for their accomplishments in imaging research” and to “especially encourage those who have achieved scientific excellence while still being involved in clinical care,” according to a congratulatory letter from the Distinguished Investigator Council.

As principal investigator, Dr. Boada leads a technology research and development (TR&D) project to develop convergent MR-PET acquisition and reconstruction methods that go beyond the conventional superposition of MR and PET data.

Coming this October: i2i workshop!

Save the date for the 2-day Innovation to Implementation in Imaging (i2i) Workshop in NYC!

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MRM highlights XD-GRASP, developed at CAI2R

Magnetic Resonance in Medicine Journal highlights XD-GRASP in a Q&A with Dr. Li Feng and Dr. Ricardo Otazo.

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In a Q&A with MRM, Li Feng, PhD, and Ricardo Otazo, PhD, discuss XD-GRASP, an imaging method that combines golden-angle radial sampling with compressed sensing to track and freeze periodic motion.

"XD" in "XD-GRASP" stands for "extra dimensional," because the technique captures more than the four dimensions we experience directly (length, width, height, and time). The method enables reconstruction of additional dimensions associated with periodic motion, such as the cycle of heartbeat or breathing.

With XD-GRASP, organs affected by periodic motion can be "frozen" after reconstruction. The heart, for instance, which not only beats but also rises and falls, pushed up and pulled down by the diaphragm, can be shown and examined as if beating in a still environment, unaffected by breathing.

Watch Dr. Feng's presentation summary of XD-GRASP:

P41 Directors Meet

CAI2R Directors attend the 2016 P41 Principal Directors' Meeting in Rockville, MD.

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CAI2R Director, Fernando Boada, PhD, and CAI2R Principal Investigator Dan Sodickson, MD, PhD, convene with more than 130 scientists from over 20 other National Biomedical Technology Resource Centers and from the National Institutes of Health.

Dr. Sodickson will deliver a talk, The Changing Face of Biomedical Imaging: From Still Photography to Streaming Information, in which he will summarize the current state of imaging science, describe mounting demands for imaging to deliver greater measurable value in healthcare, and argue that the answer to those demands lies in development of rapid continuous comprehensive imaging technology. CAI2R is working toward making that vision a reality every day.

Hello Singapore!

CAI2R goes to Singapore to exchange ideas with other members of the International Society of Magnetic Resonance in Medicine at the 24th annual ISMRM meeting. 

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CAI2R and NYU School of Medicine team comprising scientists, clinicians, technologists, and graduate students will deliver over 100 research events, including educational talks, focused discussions, oral presentations, as well as electronic and traditional posters. 

The research team will present work in areas as diverse as:

  • preclinical imaging
  • MSK
  • cutting-edge diffusion methods
  • RF engineering
  • new frontiers in image reconstruction
  • breast cancer

and many, many more. For details, see ISMRM proceedings.

MRI Points to Possible Links Between Fatty Acids and Cancer

Clinically feasible, rapid, in-vivo method details fatty acid composition in the breast.

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In a study published in Radiology, CAI2R researchers investigate possible association of fatty acid fractions of adipose tissue with breast cancer.

Using a novel method, multiple gradient-echo MR spectroscopy imaging, the investigators measured fractions of monounsaturated, polyunsaturated, and saturated fatty acid in breast adipose tissue of pre- and postmenopausal women with and without breast cancer. In the paper, authors write, “Our study demonstrated that, for postmenopausal women, low monounsaturated and high saturated fatty acids may be associated with invasive ductal carcinoma, which potentially makes them useful indicators of the presence of breast cancer.”

The method is non-invasive and can be “easily used in the clinic during a routine diagnostic protocol,” according to the authors.

Read the associated RSNA press release.
Read the associated NYU Langone press release.
Read the study: Evaluation of Breast Lipid Composition in Patients with Benign Tissue and Cancer by Using Multiple Gradient-Echo MR Imaging.

MRM Highlights CAI2R Scientists' Work on Gibbs Ringing

CAI2R scientists chat with MRM about use of regularization functions to mitigate Gibbs ringing artifacts in diffusion MRI.

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NYU Radiology and CAI2R in Recent News

NYU Langone and CAI2R are in the news about operational and technological innovation in radiology. 

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Although at many medical centers increased specialization has distanced radiologists from other clinicians, at NYU Langone radiologists participate in the clinical mix through virtual rounds and contribute nuanced analyses to collaborative patient care. Read The Wall Street Journal profile of integrative radiology operations at NYU Langone. 

Meanwhile, at NYU Langone's Center for Biomedical Imaging—home of CAI2R—imaging scientists are using insights from MRI applications of compressed sensing to develop ultra-low-dose CT. Read Radiology Business Q&A with CAI2R researchers about a new approach to CT dose reduction.

Plug-and-Play Fingerprinting appears in Nature

CAI2R scientists publish a paradigm-shifting method called Plug-and-Play Fingerprinting in Nature Communications.

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In research published today by Nature Communications, Drs. Cloos and Sodickson of CAI2R describe a multiparametric quantitative imaging method unaffected by RF field variations. The advance overturns decades-long assumptions about the necessity of pursuing uniform RF fields and opens doors to quantitative MRI results that accurately compare across scanners and patient populations.

The method, called Plug-and-Play MR Fingerprinting (PnP-MRF) has been validated in simulations, phantom studies, and in vivo. Read related press release by NYU Langone Medical Center

CAI2R Holds Innaugural i2i Workshop

About 300 scientists and tech experts visit CAI2R to envision the future of biomedical imaging.

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American Heart Association Names Leon Axel Distinguished Scientist

Leon Axel, MD, PhD, awarded by AHA for imaging research that "importantly advanced our understanding of cardiovascular diseases and stroke."

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Biomedicine and Engineering Connect

CAI2R Radiologists participated in “Connecting the Dots: Engineering Meets Biomedical Research"

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Organized by the Office of Science and Research at NYU Langone Medical Center on December 8, "Connecting the Dots" highlighted collaboration between NYU School of Medicine and NYU Tandon School of Engineering, and encouraged exploration of new joint research projects.

CAI2R scientists, Yvonne W. Lui, MD, and Riccardo Lattanzi, PhD, presented ongoing cross-disciplinary research conducted with colleagues from NYU Tandon. Dr. Lui (pictured) discussed the role of computational methods and advanced MRI in investigations of traumatic brain injury—a collaboration with Yao Wang, PhD, of NYU Tandon. Dr. Lattanzi, alongside colleagues from the schools of medicine and engineering, discussed collaborative investigations of medical image analysis at Tandon’s VIDA Center.

After presentations, scientists held a networking session to explore pressing challenges in biomedicine and bioengineering, and to envision new joint investigations. Dafna Bar-Sagi, PhD, Vice Dean for Science and Chief Scientific Officer at NYU Langone, challenged the teams to focus on the most timely questions, the disciplines that can best address them, and areas of particular opportunity.

XD-GRASP Article Makes Waves among MRM Readers

The paper describing CAI2R's XD-GRASP method is among top 10 most cited and most downloaded MRM articles of 2016.

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Diffusion Time Matters in Prostate Cancer

CAI2R scientists show that diffusion time reveals information that may help detect and grade prostate cancer. Urology Today reports.


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Diffusion in Muscle

Editorial in special issue of NMR in Biomedicine calls CAI2R investigators' work an "outstanding example of ongoing methodological research in diffusion MR outside the brain."

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Watch i2i 2016 Sessions

Audio and slide captures from nearly all i2i Workshop presentations are now available. Enjoy them, share them, and save the date for the next i2i in the fall of 2018.

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Visit Us At ISMRM 2017

Connect with our staff at Booth #236 in the 2017 ISMRM Technical Exhibition. We will be available April 23-27 to discuss possibilities for collaboration and recruitment.

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Dr. Leon Axel Delivers Paul Lauterbur Lecture at Opening of 25th Annual ISMRM Meeting

"I've always been curious how things work," said Dr. Axel, astrophysicist turned pioneer of cardiac MRI.

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Leon Axel, MD, PhD, addressed thousands of imaging scientists at the opening ceremony of the 25th annual meeting of the International Society of Magnetic Resonance (ISMRM)—held this year in Honolulu, HI—as he delivered the traditional Paul Lauterbur lecture, named after the inventor of MRI.

Dr. Axel, professor of radiology and professor of medicine at NYU School of Medicine, is best known for developing tissue tagging methods for cardiac imaging. A tireless explorer of the anatomy, physiology, and pathology of the heart, he leads a multidisciplinary group that develops new methods to image and better understand this singular organ. He is part of the CAI2R research team behind XD-GRASP, an information-rich, motion-robust, continuous acquisition imaging technique. The American Heart Association named him Distinguished Scientist in 2016 for contributions to the understanding of cardiovascular diseases and stroke.

ISMRM 2017 Young Investigator Award

Above, Dr. Benkert (right) receiving an ISMRM 2017 Young Investigator Award from the society's 25th annual meeting chair Scott Reeder, MD, PhD.

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At its 25th annual meeting, the International Society for Magnetic Resonance in Medicine (ISMRM) awarded postdoctoral fellow Thomas Benkert a Young Investigator Award for research that extends continuous imaging to fat/water separation. The awarded technique, called Dixon-RAVE, combines radial sampling, compressed sensing, and parallel imaging in order to deliver clear volumetric fat/water separation images even in the presence of motion. Robustness to motion eliminates the need for anesthesia and breath-holds, which simplifies the complexity of MRI exams for both patients and technicians, enhancing patient comfort and eliminating the need for costly, cumbersome repeat exams due to motion-induced artifacts.

The work builds on and extends continuous acquisition capabilities offered by GRASP, also developed at CAI2R, and has various clinical applications, including in liver and breast imaging, with special benefits for pediatric patients, geriatric patients, and all those who have difficulty performing breath holds.

Read the related publication.

NYU to Bioengineer MRI-Traceable Smart Protein

NSF funds collaboration among NYU Tandon, CDS, and CAI2R to build first imaging-ready smart protein for theranosis.

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Step Closer to MRI Biomarkers of Male Infertility

Magnetic resonance spectroscopy at 3 Tesla can distinguish between men with non-obstructive azoospermia and fertile men.

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Frontiers of Engineering: Tissue Mapping

CAI2R investigator Riccardo Lattanzi to speak about mapping tissue properties at the US-EU Frontiers of Engineering symposium.

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RSNA New Horizons Lecture

Daniel Sodickson, MD, PhD, CAI2R principal investigator, delivers RSNA New Horizons lecture: "A New Light: The Birth, and Rebirth, of Imaging."

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AI Rivals Radiologists in Judging Breast Density

Computer scientists and radiology researchers trained a deep neural network to read mammograms for breast density.

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ML Predicts Memory from MRI Data

CAI2R researchers trained a learning algorithm to predict memory test scores from MRI data.

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New, Flexible Coil Array

New, high-impedance flexible glove coil design offers unprecedented look at biomechanics of soft tissues of the hand.

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This Fall in NYC: Second Bi-Annual i2i Imaging Workshop

Join us in New York on October 18-19 to see what's new and what's next for biomedical imaging. 

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i2i Abstract Deadline Extension

Now you can submit abstracts to i2i until July 22, 2018. Join the conversation in NYC this October.

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100 Knee MRI Cases

Get 100 anonymized knee cases for AI reconstructions, including raw data, coil sensitivities, and susceptibility maps—everything you need to reproduce our results.

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Working with Facebook AI Research to make MRI faster

We have launched a collaboration with Facebook AI Research to make MRI faster and more accessible. 

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Second Biennial i2i Workshop

Nearly 300 experts from 80 research institutions, industry firms, and startups are joining us to discuss what's next in biomedical imaging.

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Open Data for AI Research into Faster MRI

As part of fastMRI, a colloaboration with Facebook AI Research, we are sharing data from thousands of MRI cases with AI scientists everywhere.

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Glove Coil Named among Best Medical Technologies of 2018

Medgadget names our high-impedance glove coil among the best medical technologies of 2018. 

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Paradigm Shift in Breast Imaging

In an AJR breast imaging review, our scientists and clinicians discuss how artificial intelligence is rapidly changing breast imaging.

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New Resource: Axonal Diameter Map

We are sharing 3D scanning electron microscopy (SEM) data that reveal axonal diameter variations in murine corpus callosum.

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Steven Baete in CECI2

Council of Early Career Investigators at the Academy for Radiology and Biomedical Imaging Research welcomes Stephen Baete, PhD, among its 2019 class.

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AI Rivals, Enhances Radiologist Readings

Our neural network detects breast cancer better than radiologists and, in an ensemble, improves their predictions.

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A More Efficient Clinic

We decreased MRI turnaround time between exams at our clinic by more than 5 minutes, making room for 2 more scans per scanner per day.

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Join Us for a Summit on AI in Radiology

Next week, radiologists, bioethicists, and law experts will convene at NYU Langone for a summit on AI in radiology. 

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AI in Osteoporosis and Fragility Fractures

In Current Opinion in Rheumatology, our scientists review AI tools for diagnosis of osteoporosis and risk prediction of fragility fractures.

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Yulin Ge, MD, Named Distinguished Investigator

Academy for Radiology & Biomedical Imaging Research honors scientists for "developing ways to significantly improve patient care through imaging."

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AI in Musculoskeletal Imaging: Present and Future

In American Journal of Radiology, our scientists assess the potential of AI for musculoskeletal imaging.

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Best Paper at AI for Social Good

Our network for detection of breast cancer wins best paper at AI for social good ICML workshop. 

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Active Reconstruction with AI

With colleagues at Facebook AI Research, we propose active reconstruction to optimize MRI sampling trajectory during a scan.

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Hybrid State for MRI

In Nature Communications Physics article, scientists define hybrid state: a new, large MRI experiment design space with traceable spin dynamics.

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A Decade of Growth: What's the Secret?

A conversation with our Center's principal investigator, Daniel Sodickson, MD, PhD.

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GRC on Microstructure

Dmitry Novikov, PhD, co-chairs inaugural Gordon Research Conference on imaging microstructure, where Els Fieremans, PhD, discusses diffusion MRI.

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CAI2R at MIDL 2019

At the 2019 international conference on Medical Imaging with Deep Learning (MIDL) in London, Krzysztof Geras, PhD, presents three AI advances in mammography.

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Linda Moy is Senior Deputy Editor of Radiology

Linda Moy, MD, expert in breast imaging, is now senior deputy editor of Radiology, premier journal of Radiological Society of North America.

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MRI Probes Axonal Beading

In a preprint, CAI2R scientists report MRI probe of microscopic irregularities along axons.

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Can AI Tell Who Will Need a Knee Replacement in 10 Years?

NYU School of Medicine awarded NIH funds for deep-learning research into progression of knee osteoarthritis.

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Radiology Business Talks AI with Daniel Sodickson, MD, PhD

Our Center's principal investigator on making MRI faster with artificial intelligence.

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NIBIB Renews Funding for the Center for Advanced Imaging Innovation & Research

The NIH extends our mandate as a Biomedical Technology Resource Center until year 2024.

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The Minnies Scientific Paper of the Year Semifinalist

Our work on MRI turnaround optimization makes AuntMinnie's semifinals for the "best and brightest in medical imaging."

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fastMRI Challenge Opens

Together with colleagues at Facebook AI Research, we're launching a challenge for the best deep-learning MRI reconstruction algorithms.

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AI in Breast Imaging

Krzysztof Geras, PhD, and Linda Moy, MD, of CAI2R together with Ritse Mann, MD, PhD of Radboud University Medical Center, review AI in breast imaging.

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Michael Recht, MD, Finalist for Most Influential Researcher

Our radiology department chair is finalist for Aunt Minnie's most influential researcher recognition.

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AI Improves Breast Cancer Detection

Combination of AI and radiologists detects breast cancer more accurately than either AI or radiologists alone, our scientists found.

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fastMRI in the Press

Popular Science reports on our collaboration with Facebook Artificial Intelligence Research to accelerate MRI.

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Stronger AI for finding Alzheimer's

In a preprint, scientists from our department and NYU Center for Data Science report more accurate AI for classification of Alzheimer's Disease.

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A survey of deep learning for parallel MRI reconstruction

An overview of deep-learning reconstruction of parallel MR images: background, methods, and challenges.

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Diffusion MRI probes diameters of axons

Diffusion MRI can quantify elusive axonal diameters in vivo, report our scientists with colleagues from Europe and Australia. 

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Inner space: 400-micron MRI of the human brain

Our scientists, with colleagues at University of Pennsylvania and Cleveland Clinic, publish deep, detailed MRI data of the brain.

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The impact of the pandemic on radiology research

Radiology researchers, inlcuding our Center's principal investigator Daniel Sodickson, MD, PhD, report how the pandemic has affected research.

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Classifier-agnostic saliency map extraction

With colleagues at Jagiellonian University, NYU, and Facebook AI Research, we propose classifier-agnostic saliency map extraction.

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Better spinal cord MRI

International collaboration leads to better quantitative in vivo MRI of the spinal cord.

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Imaging and privacy in the era of AI

In light of advances in AI and computer vision, authors call for "new models for identifiability and patient consent."

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2020 ASNR Research Scientist Award

American Society of Neuroradiology honors Sohae Chung, PhD, for work on precise personal targeting of MRI-guided focused ultrasound.

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MRI Detects Variations in Diameters of Axons

Scientists isolate signature of specific microgeometric axonal feature in MRI signal.

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fastMRI is diagnostically interchangeable with traditional MRI

MRI accelerated with AI is diagnostically interchangeable with traditional scans, our scientist found.

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Second fastMRI Reconstruction Challenge Set to Open October 1

This year, participants are challenged to reconstruct brain MRI data.

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2020 fastMRI Challenge Opens

Participants compete in machine learning methods for 4x- and 8x-accelerated reconstruction of neuroimaging MRI data.

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Brain Structure and Function Editor's Choice Award

Hong-Hsi Lee, MD, PhD, awarded for work on axonal diameter variation and axonal orientation dispersion.

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Hong-Hsi Lee, MD, PhD, postdoctoral fellow at CAI2R, has been honored by the journal Brain Structure and Function and the Cajal Club with an Editor's Choice Award for a recent paper titled "Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI."

The paper was chosen from more than 200 scientific publications that appeared in Brain Structure and Function in 2019. The award, usually presented at the meeting of the Society for Neuroscience (SfN), was announced on Sunday, October 25, at a virtual meeting of the Cajal Club, a society devoted to the promotion of neuroscience and named after the discipline's early pioneer Santiago Ramón y Cajal.

2020 fastMRI Challenge Leaderboard is Published

Quantitative metrics will be combined with radiologists' evaluations and winners will be revealed at NeurIPS 2020.

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Meet Vatsal Sodha

Vatsal Sodha, MS, new assistant research scientist at CAI2R, believes machine learning has the potential to increase access to healthcare.

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AI for Prediction of COVID-19 Severity

In collaboration with Facebook AI Research, CAI2R scientists develop AI to predict COVID-19 severity and better allocate hospital resources.

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New Resource: 3T Pilot Tone

Compact, stand-alone devices for tracking motion in 3T MRI are available upon request.

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The PhD Journey of Hong Hsi Lee

Hong Hsi Lee, alumnus of our doctoral and postoctoral training, is moving on Massachusetts General Hospital. We look at his journey to date.

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Finding Small Lesions in Torrents of Data Is Challenging for Humans and Machines Alike

Lessons from a digital breast tomosynthesis deep learning competition.

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Latest Updates

05/13/2021 - 16:37
05/10/2021 - 10:05
04/12/2021 - 15:19

Philanthropic Support

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

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