Imaging Science

BMEII Imaging Science programs work to improve diagnostics and treatment effectiveness by developing state-of-the-art imaging acquisition and processing techniques.

Our imaging programs are focused on applications in neuroimaging, cancer & body imaging, cardiovascular/cardiac imaging and immunoimaging. The Clinical Trials Unit develops imaging endpoints for multicenter clinics and the Imaging Research Warehouse integrates imaging with electronic health records.

Neuroimaging

Employing cutting-edge imaging technology
to visualize the brain in unprecedented
details and through new filters.

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Cancer Imaging

Undertaking groundbreaking studies in the
use of imaging for the early detection and
treatment assessment of cancer

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Cardiovascular Imaging

Developing and using noninvasive imaging methods
that allow the early detection, prevention, and treatment
of cardiovascular disease

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Clinical Trials Unit

A modern hybrid between a contract research
organization and an imaging core

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Immuno-imaging

Visualizing the immune system with a
clinical approach to image immune response
using novel innovative probes

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Imaging Research Warehouse

A massive image database, developed by
BMEII, is the first of its kind in New York City

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News

Warrior Watch Study at Mount Sinai

Led by Robert Hirten, MD and Zahi Fayad, PhD, the study draws upon the collaborative efforts of the Mount Sinai COVID Informatics Center (MSCIC) and is open to all employees in the health system. It uses a unique phone App to administer questions and collect data from...

Mount Sinai Establishes BioMedical Engineering and Imaging Institute

Center aims to create state-of-the-art medical technology to transform patient care The Mount Sinai Health System announced the creation of the Biomedical Engineering and Imaging Institute (BMEII), the first of its kind in New York City, and one of a few in the world....

Latest Publications

Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study

Tawakol A, Ishai A, Takx RA, Figueroa AL, Ali A, Kaiser Y, Truong QA, Solomon CJ, Calcagno C, Mani V, Tang CY, Mulder WJ, Murrough JW, Hoffmann U, Nahrendorf M, Shin LM, Fayad ZA, Pitman RK 2017 Jan 12 · Lancet

Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging

Hectors SJ, Wagner M, Bane O, Besa C, Lewis S, Remark R, Chen N, Fiel MI, Zhu H, Gnjatic S, Merad M, Hoshida Y, Taouli B 2017 May 26 · Sci Rep

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