Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.

Journal: International journal of computer assisted radiology and surgery
Published Date: Mar 22, 2019

Abstract

PURPOSE: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem of converting pixel-wise multispectral reflectance measurements to underlying tissue parameters, such as oxygenation. Assessment of the specific hardware used in conjunction with such algorithms, however, has not properly addressed the possibility that the problem may be ill-posed.

Authors

  • Tim J Adler
    Computer Assisted Medical Interventions, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany. t.adler@dkfz-heidelberg.de.
  • Lynton Ardizzone
    Visual Learning Lab, Heidelberg University, Heidelberg, Germany.
  • Anant Vemuri
    Computer Assisted Medical Interventions, German Cancer Research Center, Im Neuenheimer Feld 581, 69210, Heidelberg, Germany.
  • Leonardo Ayala
    Computer Assisted Medical Interventions, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.
  • Janek Gröhl
    German Cancer Research Center (DKFZ), Division of Computer Assisted Medical Interventions (CAMI), He, Germany.
  • Thomas Kirchner
    German Cancer Research Center (DKFZ), Division of Computer Assisted Medical Interventions (CAMI), He, Germany.
  • Sebastian Wirkert
    Computer Assisted Medical Interventions, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.
  • Jakob Kruse
    Visual Learning Lab, Heidelberg University, Heidelberg, Germany.
  • Carsten Rother
    Visual Learning Lab, Heidelberg University, Heidelberg, Germany.
  • Ullrich Köthe
    Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany.
  • Lena Maier-Hein
    German Cancer Research Center (DKFZ), Computer Assisted Medical Interventions, Heidelberg, Germany.

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