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Real-time hyperspectral imaging for non-invasive monitoring of tissue ischemia

Anoek Strumane (UGent) , Jens De Winne (UGent) , Danilo Babin (UGent) , Jan Aelterman (UGent) , Hiep Luong (UGent) and Wilfried Philips (UGent)
(2023) 2023 IEEE SENSORS. In IEEE Sensors
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Abstract
This paper presents a study on the use of hyperspectral imaging (HSI) for non-invasive, real-time monitoring of skin ischemia. We propose a novel ischemia index based on reflectance in a limited number of wavelengths, which can be calculated and visualized in real-time with low memory requirements. The index is tested on hyperspectral images of healthy and ischemic forearms, obtained by performing lower arm occlusion, and is compared to five other state-of-the-art indices from literature using binary support vector machines (SVMs). The results show that the proposed index is able to robustly distinguish between healthy and ischemic tissue in real-time, thus highlighting their potential to be used in a clinical setting.
Keywords
Ischemia, Hyperspectral imaging, Snapshot camera, Real-time, SKIN

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MLA
Strumane, Anoek, et al. “Real-Time Hyperspectral Imaging for Non-Invasive Monitoring of Tissue Ischemia.” 2023 IEEE SENSORS, IEEE, 2023, doi:10.1109/SENSORS56945.2023.10324907.
APA
Strumane, A., De Winne, J., Babin, D., Aelterman, J., Luong, H., & Philips, W. (2023). Real-time hyperspectral imaging for non-invasive monitoring of tissue ischemia. 2023 IEEE SENSORS. Presented at the 2023 IEEE SENSORS conference, Vienna, Austria. https://doi.org/10.1109/SENSORS56945.2023.10324907
Chicago author-date
Strumane, Anoek, Jens De Winne, Danilo Babin, Jan Aelterman, Hiep Luong, and Wilfried Philips. 2023. “Real-Time Hyperspectral Imaging for Non-Invasive Monitoring of Tissue Ischemia.” In 2023 IEEE SENSORS. IEEE. https://doi.org/10.1109/SENSORS56945.2023.10324907.
Chicago author-date (all authors)
Strumane, Anoek, Jens De Winne, Danilo Babin, Jan Aelterman, Hiep Luong, and Wilfried Philips. 2023. “Real-Time Hyperspectral Imaging for Non-Invasive Monitoring of Tissue Ischemia.” In 2023 IEEE SENSORS. IEEE. doi:10.1109/SENSORS56945.2023.10324907.
Vancouver
1.
Strumane A, De Winne J, Babin D, Aelterman J, Luong H, Philips W. Real-time hyperspectral imaging for non-invasive monitoring of tissue ischemia. In: 2023 IEEE SENSORS. IEEE; 2023.
IEEE
[1]
A. Strumane, J. De Winne, D. Babin, J. Aelterman, H. Luong, and W. Philips, “Real-time hyperspectral imaging for non-invasive monitoring of tissue ischemia,” in 2023 IEEE SENSORS, Vienna, Austria, 2023.
@inproceedings{01HBFX9TZD26YZ9R7W833WZKBM,
  abstract     = {{This paper presents a study on the use of hyperspectral imaging (HSI) for non-invasive, real-time monitoring of skin ischemia. We propose a novel ischemia index based on reflectance in a limited number of wavelengths, which can be calculated and visualized in real-time with low memory requirements. The index is tested on hyperspectral images of healthy and ischemic forearms, obtained by performing lower arm occlusion, and is compared to five other state-of-the-art indices from literature using binary support vector machines (SVMs). The results show that the proposed index is able to robustly distinguish between healthy and ischemic tissue in real-time, thus highlighting their potential to be used in a clinical setting.}},
  author       = {{Strumane, Anoek and De Winne, Jens and Babin, Danilo and Aelterman, Jan and Luong, Hiep and Philips, Wilfried}},
  booktitle    = {{2023 IEEE SENSORS}},
  isbn         = {{9798350303872}},
  issn         = {{1930-0395}},
  keywords     = {{Ischemia,Hyperspectral imaging,Snapshot camera,Real-time,SKIN}},
  language     = {{eng}},
  location     = {{Vienna, Austria}},
  pages        = {{4}},
  publisher    = {{IEEE}},
  title        = {{Real-time hyperspectral imaging for non-invasive monitoring of tissue ischemia}},
  url          = {{http://doi.org/10.1109/SENSORS56945.2023.10324907}},
  year         = {{2023}},
}
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