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    COLLABORATIVE BIOMEDICAL

    INFORMATICS SYSTEM
    To support and accelerate TBI research.
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    MIPAV OPEN SOURCE MEDICAL

    IMAGE QUANTIFICATION
    and analysis tools for collaboration.
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    HIGH PERFORMANCE

    COMPUTING
    GPU-accelerated volume rendering and image processing.

MISSION STATEMENT

The Biomedical Image Research and Services Section (BIRSS) is committed to providing informatics and imaging research expertise in support of innovative biomedical research both NIH and as part of NIH-supported projects. The BIRSS team advances algorithm and tool development to further a variety of clinical and biomedical informatics activities and research at NIH. BIRSS has strategically developed systems so that they are reusable in future projects. Its software reuse strategy has increased productivity and has resulted in substantial cost savings to the NIH, well beyond BIRSS’s close collaborations.

To support these initiatives, BIRSS created the award-winning, scalable, and dynamic Biomedical Research Informatics Computing System (BRICS, http://brics.cit.nih.gov) as a comprehensive, and customizable bioinformatics system designed to support and accelerate clinical research. This modular, web-based system makes the performance of research studies and clinical trials faster, efficient and more collaborative. Effective sharing of data is a fundamental goal in this new era of data informatics. Such informatics advances create both technical and political challenges to efficiently and effectively use biomedical resources. Designed to be initially un-branded and not associated with a particular disease, BRICS has been used so far to support multiple neurobiological studies across several institutes at NIH.

In addition, to advance and empower scientific imaging research in the NIH intramural program, BIRSS has created and continues to enhance a sophisticated open source, platform-independent, n-dimensional, extensible image processing and visualization application. This application, MIPAV (Medical Image Processing Analysis and Visualization, http://mipav.cit.nih.gov), enables quantitative analysis and visualization of biomedical imaging modalities (from micro to macro) and is used by researchers at NIH and around the world. It’s open source and therefore freely available and has been downloaded over 50 thousand times by researchers throughout the world.