5 researchers awarded 2018 Canon Medical Systems, RSNA grants for imaging, AI projects
A total of five U.S. physicians and medical students have been awarded 2018 Canon Medical Systems USA/Radiological Society of North America (RSNA) grants from the RSNA Research & Education (R&E) Foundation to pursue projects using and evaluating medical imaging technology.
The grants were made possible by Canon Medical Systems USA’s support of the RSNA R&E Foundation, according to a Canon Medical Systems press release published Nov. 12.
The R&E foundation awarded its 2018 Canon Medical Systems USA/RSNA Research Seed Grants—a $40,000 award for a one-year project—to Pedram Heidari, MD, Prashant Nagpal, MD and Adam Singer, MD. Project descriptions include:
- Pedram Heidari, MD, Massachusetts General Hospital, in Boston will investigate a novel PET probe for imaging disease activity in inflammatory bowel disease (IBD) in mouse models.
- Prashant Nagpal, MD, University of Iowa, in Iowa City with scientific advisor Mathews Jacob, PhD, will investigate whether 3D self-navigated free-breathing cardiac MRI (CMR) sequences using manifold reconstruction algorithms compare well with the standard of care breath-held CMR sequences for patients with chronic obstructive pulmonary disease (COPD).
- Adam Singer, MD, Emory University, Atlanta will compare the performance of a novel sonographic scoring and reporting system to MRI for soft tissue sarcoma resection bed surveillance.
The 2018 Canon Medical Systems USA Research Medical Student Grants—a $3,000 stipend matched by two institution’s radiology departments for a total of $6,000—to pursue a research project in the radiologic sciences were awarded to Brandon Kenneth-Kouso Fields, and Anthony D. Yao. Project descriptions include:
Brandon Kenneth-Kouso “K.K.” Fields, University of Southern California, in Los Angeles with scientific advisor George R. Matcuk Jr., MD, will investigate the role of quantitative whole tumor volume MRI as a novel biomarker in evaluating response to neoadjuvant chemotherapy and radiation therapy in soft-tissue sarcomas.
Anthony D. Yao, Rhode Island Hospital, in Providence with scientific advisor Ryan A. McTaggart, MD, will investigate whether artificial intelligence can assist in the imaging of emergent large vessel occlusions (ELVOs) on CT angiograms.
A recent graduate from Dominican University (IL) with a bachelor’s in journalism, Melissa joined TriMed’s Chicago team in 2017 covering all aspects of health imaging. She’s a fan of singing and playing guitar, elephants, a good cup of tea, and her golden retriever Cooper.