At the BioMedical Engineering and Imaging Institute (BMEII), one of our main areas of research is the development of novel, transformative tools to better visualize and quantify the structure, function and metabolism of the brain. These tools are immediately translated to study the living human brain in the diseased and healthy state.
Over the last three decades, there has been unprecedented progress in the study of the brain. State-of-the-art brain imaging has allowed a first-time glimpse into the structure, functioning, and connectivity of the human and brain in both healthy and disease states.
Mount Sinai is one of the few institutions that has invested in the seven Tesla human MRI scanner that produces high-resolution images to visualize and measure changes in the brain that were previously undetectable. This advanced imaging technology makes it possible to noninvasively capture subtle neurological abnormalities that could allow for early detection of disease and open up the potential for treatment for patients who are refractory to drug treatments.
The use of creative engineering solutions in imaging could transform the management of neurological diseases with complex or subtle pathology, expand the use of minimally invasive treatment options, and bring us one step closer to unraveling the mystery of the human brain.
We perform research to push the performance of all neuroimaging modalities including functional MRI, diffusion MRI to study brain connectivity and perform tractography, spinal cord imaging, and MR spectroscopic imaging for the study of metabolism.
Brain imaging research is overseen by the Advanced Neuroimaging Research Program (ANRP), led by Dr. Priti Balchandani, Associate Professor of Radiology and Neuroscience. ANRP focuses on developing novel imaging technologies to diagnose and treat, a wide range of conditions, including epilepsy, brain tumors, psychiatric illnesses, multiple sclerosis, and spinal cord injury.
• Balchandani Lab
Focused on facilitating the most innovative
brain imaging research, while leveraging
technical and clinical advantages
Ultrahigh Field MRI Group
Devising creative engineering methods to overcome
some of the main limitations of operating at
high magnetic fields
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...
Technology may lead to rapid diagnosis based on CT scans and patient data Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with imaging, and clinical data to analyze patients with coronavirus disease (COVID-19). They...
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....
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