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Algorithms for mapping kidney tissue oxygenation during normothermic machine perfusion using hyperspectral imaging

  • Wenke Markgraf EMAIL logo , Philipp Feistel , Christine Thiele and Hagen Malberg
Published/Copyright: September 15, 2018
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Biomedical Engineering / Biomedizinische Technik
From the journal Biomedical Engineering / Biomedizinische Technik Volume 63 Issue 5

Abstract

The lack of donor grafts is a severe problem in transplantation medicine. Hence, the improved preservation of existing and the usage of organs that were deemed untransplantable is as urgent as ever. The development of novel preservation techniques has come into focus. A promising alternative to traditional cold storage is normothermic machine perfusion (NMP), which provides the benefit of improving the organs’ viability and of assessing the organs’ status under physiological conditions. For this purpose, methods for evaluating organ parameters have yet to be developed. In a previous study, we determined the tissue oxygen saturation (StO2) of kidneys during NMP with hyperspectral imaging (HSI) based on a discrete wavelength (DW) algorithm. The aim of the current study was to identify a more accurate algorithm for StO2 calculation. A literature search revealed three candidates to test: a DW algorithm and two full spectral algorithms – area under a curve and partial least square regression (PLSR). After obtaining suitable calibration data to train each algorithm, they were evaluated during NMP. The wavelength range from 590 to 800 nm was found to be appropriate for analyzing StO2 of kidneys during NMP. The PLSR method shows good results in analyzing the tissues’ oxygen status in perfusion experiments.

Keywords: discrete wavelength method; hyperspectral imaging; oxygen saturation; partial least square regression; tissue parameters

Acknowledgment

The authors are grateful for the helpful discussions with Eike Brunner. Furthermore, we would like to thank Juliane Putz and Martin Janssen for their advice on medical questions.

  1. Author Statement

  2. Research funding: Authors state no funding involved.

  3. Conflicts of interest: The authors declare no conflicts of interest.

  4. Informed consent: Informed consent is not applicable.

  5. Ethical approval: The research related to the animal use complies with all the relevant national regulations and institutional policies.

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Received: 2017-11-28
Accepted: 2018-09-04
Published Online: 2018-09-15
Published in Print: 2018-10-25

©2018 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Guest Editorial
  3. Optical imaging methods in medicine: how can we escape the plausibility trap?
  4. Special Issue Articles
  5. Diffuse near-infrared imaging of tissue with picosecond time resolution
  6. A compact hyperspectral camera for measurement of perfusion parameters in medicine
  7. LED for hyperspectral imaging – a new selection method
  8. Approaches for calibration and validation of near-infrared optical methods for oxygenation monitoring
  9. Hyperspectral imaging in perfusion and wound diagnostics – methods and algorithms for the determination of tissue parameters
  10. Algorithms for mapping kidney tissue oxygenation during normothermic machine perfusion using hyperspectral imaging
  11. Intraoperative mapping of the sensory cortex by time-resolved thermal imaging
  12. Intraoperative motion correction in neurosurgery: a comparison of intensity- and feature-based methods
  13. Optical molecular imaging of corpora amylacea in human brain tissue
  14. Intraoperative optical imaging of metabolic changes after direct cortical stimulation – a clinical tool for guidance during tumor resection?
  15. Application of optical and spectroscopic technologies for the characterization of carious lesions in vitro
  16. Hyperspectral imaging: innovative diagnostics to visualize hemodynamic effects of cold plasma in wound therapy
  17. Hyperspectral imaging as a possible tool for visualization of changes in hemoglobin oxygenation in patients with deficient hemodynamics – proof of concept
  18. Cardiovascular assessment by imaging photoplethysmography – a review
https://doi.org/10.1515/bmt-2017-0216
Keywords for this article
discrete wavelength method; hyperspectral imaging; oxygen saturation; partial least square regression; tissue parameters

Articles in the same Issue

  1. Frontmatter
  2. Guest Editorial
  3. Optical imaging methods in medicine: how can we escape the plausibility trap?
  4. Special Issue Articles
  5. Diffuse near-infrared imaging of tissue with picosecond time resolution
  6. A compact hyperspectral camera for measurement of perfusion parameters in medicine
  7. LED for hyperspectral imaging – a new selection method
  8. Approaches for calibration and validation of near-infrared optical methods for oxygenation monitoring
  9. Hyperspectral imaging in perfusion and wound diagnostics – methods and algorithms for the determination of tissue parameters
  10. Algorithms for mapping kidney tissue oxygenation during normothermic machine perfusion using hyperspectral imaging
  11. Intraoperative mapping of the sensory cortex by time-resolved thermal imaging
  12. Intraoperative motion correction in neurosurgery: a comparison of intensity- and feature-based methods
  13. Optical molecular imaging of corpora amylacea in human brain tissue
  14. Intraoperative optical imaging of metabolic changes after direct cortical stimulation – a clinical tool for guidance during tumor resection?
  15. Application of optical and spectroscopic technologies for the characterization of carious lesions in vitro
  16. Hyperspectral imaging: innovative diagnostics to visualize hemodynamic effects of cold plasma in wound therapy
  17. Hyperspectral imaging as a possible tool for visualization of changes in hemoglobin oxygenation in patients with deficient hemodynamics – proof of concept
  18. Cardiovascular assessment by imaging photoplethysmography – a review
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