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Publications (2)0 Total impact

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    ABSTRACT: Progress in our understanding of brain disorders increasingly relies on the costly collection of large standardized brain magnetic resonance imaging (MRI) data sets. Moreover, the clinical interpretation of brain scans benefits from compare and contrast analyses of scans from patients with similar, and sometimes rare, demographic, diagnostic, and treatment status. A solution to both needs is to acquire standardized, research-ready clinical brain scans and to build the information technology infrastructure to share such scans, along with other pertinent information, across hospitals. This paper describes the design, deployment, and operation of a federated imaging system that captures and shares standardized, de-identified clinical brain images in a federation across multiple institutions. In addition to describing innovative aspects of the system architecture and our initial testing of the deployed infrastructure, we also describe the Standardized Imaging Protocol (SIP) developed for the project and our interactions with the Institutional Review Board (IRB) regarding handling patient data in the federated environment.
    Studies in health technology and informatics 01/2012; 175:19-28.
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    ABSTRACT: Progress in our understanding of brain disorders increasingly relies on costly collection of large standardized brain magnetic resonance imaging (MRI) data sets. Moreover, clinical interpretations of brain scans benefit from compare and contrast analyses of scans from patients with similar, and sometimes rare, demographic, diagnostic, and treatment status. A solution to both needs is to acquire standardized, research-ready clinical brain scans and to build the information technology infrastructure to share such scans, along with other pertinent information, across hospitals. The resulting research-ready brain imaging resource would provide a wealth of accessible standardized brain imaging data relevant to patient care and research. This paper describes a pilot project that develops such a brain resource, including the rationale, the short imaging protocol, the access to patient data, and the system architecture. This pilot project is a joined effort by researchers from the Clinical Translational Science Institutes (CTSIs) at the University of California Irvine (UCI) and University of Southern California (USC) with strong support from the Biomedical Informatics Research Network (BIRN). The pilot system developed enables capture and sharing of standardized, de-identified clinical brain images across institutions via a federated database system.
    2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), Atlanta, GA, USA, November 12-15, 2011; 01/2011