MI2B2 enabled Pediatric Neuroradiological Decision Support

This project will extend the recently developed Medical Imaging Informatics Benchto Bedside (mi2b2) Workbench software to make medical images collected during routine clinical careavailable to clinical translational investigators. Today, this gold mine of patient information is not easilyavailable. Well characterized medical images from clinical repositories would be an extremely valuableresource for clinical translational investigators who have specific ideas that require testing in large sets ofimages from many patients with different diseases. The project combines the expertise of internationalleaders in the development and deployment of advanced biomedical imaging technologies (MRI, highspeed CT, ultrasound, PET and others) for clinical practice at three Harvard teaching hospitals(Massachusetts General Hospital, Brigham and Women's Hospital, and Children's Hospital Boston). ThePicture Archive and Communication Systems (PACS) within each of the Departments of Radiology containa wealth of medical images that often equal the quality of available clinical research imaging data, andgreatly exceed its volume in terms of the number of patients and disease types. Though immediatelyextensible to other research applications and diagnostic scenarios, the first task to be addressed will beinterpreting pediatric brain magnetic resonance images (MRI). The proposed Pediatric MRI module andHarvard Catalyst Radiological Decision Support toolkit that host it are targeted to address the immediateclinical challenge of understanding "normal" because normal is a constantly moving target, changingrapidly with brain development. These free and open source software tools are natural extensions ofcurrently funded government projects. This includes software from two National Centers for BiomedicalComputing; Informatics for Integrating Biology & the Bedside (i2b2) which provides tools that extract andintegrate data in a secure, HIPAA compliant manner from electronic medical records, laboratory data,billing information systems and the National Alliance for Medical Image Computing (NAMIC), whichprovides tools for medical image analysis including registration, visualization and computation of individualsubject and large cohort data sets and will form the foundation for the Harvard Catalyst RadiologicalDecision Support Toolkit.