Articles | Volume 5, issue 2
J. Sens. Sens. Syst., 5, 313–318, 2016

Special issue: Dresden Sensor Symposium 2015

J. Sens. Sens. Syst., 5, 313–318, 2016

Regular research article 22 Aug 2016

Regular research article | 22 Aug 2016

Hyperspectral imaging for monitoring oxygen saturation levels during normothermic kidney perfusion

Florian Tetschke1, Wenke Markgraf2, Marian Gransow1, Susanne Koch1, Christine Thiele1, Axel Kulcke3, and Hagen Malberg1 Florian Tetschke et al.
  • 1Institut für Biomedizinische Technik, Dresden University of Technology, 01062 Dresden, Germany
  • 2UniversitätsCentrum für Orthopädie und Unfallchirurgie, Universitätsklinikum Carl-Gustav-Carus Dresden, Dresden University of Technology, 01307 Dresden, Germany
  • 3Diaspective Vision GmbH, Strandstrasse 15, 18233 Pepelow, Germany

Abstract. The development of improved preservation techniques and the reliable assessment of donor grafts are main fields of research in transplantation medicine. Normothermic machine perfusion (NMP) is a promising alternative to static cold storage of organs, maintaining physiological conditions during preservation. In combination with NMP, we introduce hyperspectral imaging (HSI) as a novel approach for the monitoring of physiological kidney parameters. A line-scan HSI camera system was used to record images of porcine kidneys during NMP. Based on a dual-wavelength algorithm, the oxygen saturation levels were calculated from HSI recordings. Furthermore, we observed HSI images in the near-infrared (NIR) range in order to detect water characteristics of the kidney tissue. We found increasing levels of oxygenation during NMP and could discriminate between perfused and non-perfused areas. Cysts at the renal capsula were characterized by an absorption increase in the NIR band. Within this work, we showed that HSI is able to detect relevant chemical changes during NMP and allows the identification of pathologic variations.

Short summary
Hyperspectral imaging (HSI) has the potential to add a beneficial tool for the assessment of transplanted organs. Camera-based technologies such as HSI allow the fast and noninvasive monitoring of relevant physiological parameters. The correlation of HSI-based parameters with functional kidney parameters may be useful for the evaluation of the acceptability of marginal organs, thereby addressing the society-related problem of the shortage of available organs for transplantation.