|About the CIBC|
The Center for Integrative Biomedical Computing (CIBC)
The SCI Institute is pleased to announce the renewal and renaming of our NCRR Center. The Center partners remain the Cardiovascular Research and Training Institute (CVRTI) and the Department of Electrical and Computer Engineering at Northeastern University. The new Center will build on past accomplishments and add a major additional technical core and pursue many new collaboration projects. The main goal will continue to be the development of integrated problem solving environments that make advanced computational tools available to biomedical scientists. We will also continue to pursue advanced research in technical and biophysical approaches to bioelectric field problems in cardiology and neurology.
New Technical Core: In order to expand our technical and scientific mission, we have added an entirely new technical core—biomedical image and geometry processing. Imaging modalities are becoming available to bioscientists in all domains yet there is little software available to carry out the processing, analysis, and display of image data. The CIBC will address these needs by taking advantage of existing expertise in the SCI Institute and applying it to relevant collaborative projects.
New Scope: The CIBC will have a broader vision and scope than in the past. Mathematical modeling and simulation will go well beyond its current concentration on modeling bioelectric fields of heart and brain to include other organs and physics. We will address gaps in simulation between cellular and tissue systems so that discoveries at the molecular and cellular levels can have impact in physiology and medicine. Furthermore, we will expand the biophysical scope of our systems from the study of electrical volume conductor problems to include dynamic cellular behavior, communication among cells in a syncytium, and tissue response to external influences such as electric current, MRI, and mechanical strain.
New Visualization initiatives: We will leverage our visualization expertise within the SCI Institute to carrying out new research in visualization directed at biomedical science. Specific topics include time-dependent image data, bioelectric vector fields and ion-transport behaviors, diffusion-weighted MRI imaging, and data error/uncertainty. The Center will carry out research that will lead to effective visualization tools and easy-to-use applications available to the biomedical community.
Collaborations Drive the Center: The Center will engage in new collaborations and manage them in a novel, comprehensive approach called the "collaboration life cycle." Collaborations will drive the technology of the Center by defining the needs of new editions of the software. Each collaboration will pass through a set of stages from initial evaluation through targeted support and development to independent funding that can sustain the interaction. The Center will seek to generalize technology developed for collaborations so that the resulting software can assist others in related fields.