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 ProjectsService ProjectsTechnology R&D ProjectsTrainingResources (Dissemination)Leadership & Administration

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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

Santiago Coelho, postdoctoral fellow who develops diffusion MRI methods for brain imaging, talks about modeling tissue properties, entering the field by chance, and what he proposes to do next.

Yiqiu "Artie" Shen, machine learning researcher who develops artificial intelligence systems for medical imaging, talks about AI's ability to explain itself, guide discovery, and predict cancer risk.

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.

Latest Resources

By the Numbers

>700
scientific publications
>16K
resource downloads
>780
workshop participants
>150
team members
>70
collaborative projects
>60
services projects
>40
patents
>9
years since founding