The Center for Biomedical Image Computing and Analytics (CBICA) was established in 2013, and focuses on the development and application of advanced computational and analytical techniques that quantify morphology and function from biomedical images, as well as on relating imaging phenotypes to genetic and molecular characterizations, and finally on integrating this information into diagnostic and predictive tools in an era of personalized medicine. As Imaging has entered its information era, there has been an increased need to understand and quantify the complex information conveyed by biomedical images. Computational methods offer the potential for extracting diverse and complex information from imaging data, for precisely quantifying it and therefore overcoming limitations of subjective visual interpretation, and for finding imaging patterns that relate to pathologies. They can therefore contribute significantly to automated, reproducible and quantitative interpretations of biomedical images. Although many computational imaging technologies have been developed, they have been largely restricted to methodological and clinical research studies, and their translation to the clinic has been limited. One of CBICA's main goals is to translate advanced computational and analytical imaging methods to the clinic, by providing a forum in which interactions between researchers and clinicians facilitate the bidirectional flow of ideas, algorithms and data between the laboratory and the clinic.

Introduction video to the Center for Biomedical Image Computing and Analytics (CBICA) below.

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