Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing

  • Jens Petersen
  • Sabine Heiland
  • Marti Bendszus
  • Jürgen Debus
  • Marco Nolden
  • Caspar J. Goch
  • Klaus Hermann Maier-Hein
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Many imaging biomarkers (IBs) fail clinical translation. The main reason is not a lack of utility, but translational gaps [1] during validation and qualification. One important problem in this context is the landscape of existing IT systems in the clinical environment. Systems are highly heterogeneous and proprietary, causing significant translational challenges that are often purely infrastructural in nature.

Literatur

  1. 1.
    O’Connor JPB, Aboagye EO, Adams JE, et al. Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol. 2017;14(3):169–186.Google Scholar

Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  • Jens Petersen
    • 1
    • 2
  • Sabine Heiland
    • 1
  • Marti Bendszus
    • 1
  • Jürgen Debus
    • 3
  • Marco Nolden
    • 2
  • Caspar J. Goch
    • 2
  • Klaus Hermann Maier-Hein
    • 2
  1. 1.Department of NeuroradiologyHeidelberg University HospitalHeidelbergDeutschland
  2. 2.Division of Medical Image ComputingDKFZHeidelbergDeutschland
  3. 3.Department of Radiation OncologyHeidelberg University HospitalHeidelbergDeutschland

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