[Brainmap]: Randy Gollub MD PhD- Enabling technologies for research using clinically acquired medical image data: Partners Clinical Image Bank and MI2B2

Wednesday, January 31, 2018 - 12:00 to 13:00
149 13th Street (Building 149), Room 2204



Partners institutions have a robust clinical informatics infrastructure supporting the research enterprise.  Over the past several years new tools have been developed to facilitate regulated access to medical image data collected during the conduct of routine clinical care.  The visionary leadership and research efforts in the Departments of Radiology at Partners institutions together with a high volume of patients yields a large volume of medical images in the institutional archives acquired with parameters comparable to the best quality research scans.  This talk will review the tools available to all Partners faculty and staff to identify, access and work with data extracted from the electronic healthcare records including the medical images. The newest of the suite of tools is the Partners Clinical Image Bank, which is a user friendly portal that enables interactive analysis and exploration of valuable image repositories.  An exemplar project that uses ADC values from brain MR images to identify neonatal hypoxic ischemic encephalopathy lesions will be used to illustrate the clinical potential of these tools. The Clinical Image Bank is in a period of expansion and the characteristics of new image registries that would be of greatest value will be discussed.


About the Speaker:

Randy L. Gollub is Professor of Psychiatry and Associate Director of Translational Research in the Neuroimaging Research Program at Massachusetts General Hospital. She is a recognized leader in the development and application of advanced neuroimaging technologies to understand the pathophysiology of neuropsychiatric disorders including neonatal hypoxic ischemic encephalopathy, chronic pain and schizophrenia. She is currently working on translating these advances into clinical radiology practice to improve patient care through the use of large-scale imaging informatics approaches.