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Data Storage Processing Analysis Core

About Us

The Data Storage, Processing & Analysis core provides informatics support to researchers in a variety of areas. The core's research PACS program provides a HIPAA-compliant PACS system for archiving clinical and preclinical research imaging studies. This system also has the capability to perform customized de-identification of images acquired in clinical trials to preserve patient confidentiality. The Imaging Metrics for Trials (IM4T) group provides diagnostic imaging interpretation of cancer treatment response evaluation to internal and external researchers involved in cancer research studies that require response evaluation using Response Evaluation Criteria in Solid Tumors (RECIST) and its variants.

  • Faculty & Staff

    Faculty & Staff

    Ron Peshock, M.D.

    Ron Peshock, M.D.

    Core Director

    Takeshi Yokoo, M.D., Ph.D.

    Takeshi Yokoo, M.D., Ph.D.

    Director - IM4T

    Matthew Lewis, Ph.D.

    Matthew Lewis, Ph.D.

    Research PACS Operations

    Ben Wagner

    Ben Wagner

    BioHPC Operations

    Kelli Key, Ph.D.

    Kelli Key, Ph.D.

    Research Operations Manager

    Sonia Hill, B.S.

    Sonia Hill, B.S.

    Research Programs Manager

    C. Claire Starcke, B.S.

    C. Claire Starcke, B.S.

    Clinical Research Manager

  • Policies & Procedures

    Policies & Procedures

    View our applicable policies and procedures below (requires RADpoint access):

  • Operations

    Policies & Procedures

    View our applicable forms below (requires RADpoint access):

  • Instruments

    Instruments

    Flywheel

    In 2022, The Department of Radiology installed Flywheel (Minneapolis, MN, Version 16.11.4 (V3), flywheel.io) as the Research PACS. Flywheel is a state-of-the-art platform that allows image data import, automated curation, image processing, machine learning workflows, secure collaboration and is particularly well suited for big data and artificial intelligence research. Flywheel was successfully instantiated in the institutional BioHPC running on a Kubernetes cluster and currently contains over 100,000 radiology exams.

    mint LesionTM

    mint Lesion™ is a radiology software for image data capture, longitudinal data analysis, and structured reporting. It efficiently combines the viewer, the criteria guidelines and patient's entire imaging and reporting history.

  • Rates

    Rates

    Please see iLab for current rates and scheduling availability.