We bring people together to create new ways of seeing.
CAI2R creates technologies for better acquisition, reconstruction, and analysis of medical images.
Our innovations advance research in biomedicine and our best technologies become leading-edge tools in clinical radiology.
NIH Reviewers: We have updated our Center’s website to reflect our NCBIB renewal proposal for the 2024-2029 funding period.
NCBIB Components: Collaborative Projects • Service Projects • Technology R&D Projects • Training • Resources (Dissemination) • Leadership & Administration
CAI2R (pronounced care) is a National Center for Biomedical Imaging and Bioengineering supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and operated by NYU Langone Health.
A Unique Model for Academic Medical Research
Research and development in biomedical imaging are extraordinarily complex. We assemble translational research teams that meet the challenge.
Technological Innovation
CAI2R research leads the field in fast imaging, machine learning for image acquisition and reconstruction, ultraflexible biomorphic hardware, complementing MRI data with novel sensing strategies, mapping of tissue microstructure, and artificial intelligence methods for early detection of disease.
Interdisciplinary Collaboration
Our Center brings together basic scientists, engineers, clinical radiologists, physicians, computer scientists, and specialists from the medical imaging industry. We form innovative research partnerships with institutions in medicine, academia, and tech.
Clinical Translation
CAI2R innovations advance knowledge, diagnosis, and therapy of neurological conditions, musculoskeletal conditions, cardiovascular conditions, and cancer. Our research is focused on scientific and clinical applications of new biomedical imaging technologies.
Open Science
CAI2R shares research software and data resources in order to encourage progress throughout the field. Our training activities include hosting visiting scientists, a regular radiology research forum, and a biennial workshop devoted to emergent imaging technologies.
Latest Posts
RF coil engineers at NYU Langone Health needed an interface compatible with a new industry standard, so they built one. Now NYU Langone is shipping the devices to other advanced MRI labs.
PTOA is affecting more people earlier but medicine cannot predict who. The National Institute of Arthritis and Musculoskeletal and Skin Diseases is funding NYU Grossman School of Medicine to create an advance warning.
How a moonshot effort to build an open-source MRI scanner from scratch in less than a week played out, and what it means for imaging research at large.
Latest Resources
An electronic interface for research and development on radio frequency coils built for Siemens Healthineers Tim 4G.
An open-source, web-based, cross-platform inductance and capacitor calculator for building birdcage RF coils.
MRI data from suspensions of spherical polystyrene microbeads for research on gradient-echo and spin-echo signal decay in the presence of microstructural sources of magnetic susceptibility.
MATLAB scripts for data-driven optimization of magnetization-prepared gradient echo sequences used in T1ρ mapping.
MATLAB software for robust standard-model parameter estimation from diffusion MRI data
By the Numbers
scientific publications
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collaborative projects
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years since founding