Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed

  • Sebastian J. Wirkert
  • Anant S. Vemuri
  • Hannes G. Kenngott
  • Sara Moccia
  • Michael Götz
  • Benjamin F. B. Mayer
  • Klaus Hermann Maier-Hein
  • Daniel S. Elson
  • Lena Maier-Hein
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Multispectral imaging in laparoscopy can provide tissue reflectance measurements for each point in the image at multiple wavelengths of light. These reflectances encode information on important physiological parameters not visible to the naked eye. Fast decoding of the data during surgery, however, remains challenging.

Literatur

  1. 1.
    Wirkert SJ, Vemuri AS, Kenngott HG, et al. Physiological parameter estimation from multispectral images unleashed. In: Medical Image Computing and Computer- Assisted Intervention - MICCAI 2017. Lect Notes Comput Sci. Springer, Cham; 2017. p. 134–141.Google Scholar

Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  • Sebastian J. Wirkert
    • 1
  • Anant S. Vemuri
    • 1
  • Hannes G. Kenngott
    • 2
  • Sara Moccia
    • 1
    • 3
    • 4
  • Michael Götz
    • 2
    • 5
  • Benjamin F. B. Mayer
    • 2
  • Klaus Hermann Maier-Hein
    • 5
  • Daniel S. Elson
    • 6
    • 7
  • Lena Maier-Hein
    • 1
  1. 1.Division of Computer Assisted Medical InterventionsDKFZHeidelbergDeutschland
  2. 2.Department for General, Visceral and Transplantation SurgeryHeidelberg University HospitalHeidelbergDeutschland
  3. 3.Department of Advanced RoboticsIstituto Italiano di TecnologiaGenoaItalien
  4. 4.Department of Electronics, Information and BioengineeringPolitecnico di MilanoMilanoItalien
  5. 5.Div. for Medical and Biological InformaticsDKFZHeidelbergDeutschland
  6. 6.Hamlyn Centre for Robotic SurgeryImperial College LondonLondonUK
  7. 7.Department of Surgery and CancerImperial College LondonLondonUK

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