Biomedical Imaging Research Groups and Facilities
Our faculty have been at the forefront of many advances in biomedical imaging research and clinical applications, including positron emission tomography (PET), magnetic resonance imaging (MRI), artificial intelligence and machine learning, and ultrasound localization microscopy. Weill Cornell Medicine and Memorial Sloan Kettering Cancer Center also manage one of the world's most comprehensive inventories of imaging hardware and software, through the Citigroup Biomedical Imaging Center and Microscopy and Image Analysis Research Core facilities (WCM) and the Animal Imaging Core (MSKCC), providing training and research experience with MRI, PET, SPECT, CT, ultrasound and optical imaging, and image analysis services.
To learn more about the Master of Science in Biomedical Imaging, visit the homepage.
Offers a comprehensive suite of animal imaging modalities, including MRI, PET, CT, SPECT, and ultrasound, all commonly used in clinical settings, enhancing the likelihood that findings in animal models will be translatable to human patients. Key instruments include 7.0T and 9.4T MRI systems, PET/MR, PET/CT, SPECT/CT, and advanced ultrasound systems, alongside specialized equipment including a small animal radiation therapy unit and a variety of ancillary tools for advanced imaging analysis.
The Sadek Nehmeh Lab has extensive experience in PET physics, clinical PET imaging, and Monte Carlo simulations. The lab's PET physics research focuses on Monte Carlo simulations for novel long axial field-of-view PET systems, application-specific PET systems for noninvasive arterial input function imaging, and Compton scatter PET.
The Radiology Health Equity Laboratory aims to improve access to radiology and bring awareness to health equity disparities through research and practical implementation in underserved communities, with a focus on next generation molecular imaging probes and finding means of cost-effective and practical integration.
The Ricardo Otazo lab develops novel magnetic resonance imaging (MRI) techniques for cancer applications including fast imaging, motion resistant imaging, quantitative imaging of physical tissue parameters, and real-time MRI-guided radiotherapy using advances in MRI acquisition and computational models.