Imaging Informatics at BMI

Imaging Informatics at The Ohio State University Department of Biomedical Informatics is focused upon development of algorithms, tools and technologies to analyze large biomedical image data. These include algorithm development for utilizing imagery as a phenotyping tool in systems biology, and algorithms for automated classification of Neuroblastoma.

Imaging Middleware & Collaborators

The analyzed image datasets are usually a few terabytes in size. Storing and processing datasets of this size requires sophisticated data management tools that can incorporate semantic information, multiple resolutions and support parallel and distributed analysis. A complementary component of our work in imaging informatics involves the use of Grid Computing in data management, sharing, and analysis of biomedical image data. We are developing integration middleware that extends the caGrid tools to support the de facto standard in storing and transmitting in vivo imagery - DICOM.

We are also collaborating with NCI to employ the in-vivo imaging middleware and the National Cancer Imaging Archive to support broad based data and analysis sharing between image based cooperative groups (including ACRIN, RTOG, CALGB, ATC, COG and QARC).

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