Computational polarization imaging in vivo through surgical smoke using refined polarization difference
Author(s)
Wang, Daqian
Song, Jiawei
Gao, Jun
Qi, Ji
Elson, Daniel S
Type
Journal Article
Abstract
In surgery, the surgical smoke generated during tissue dissection and hemostasis can degrade the image quality, affecting tissue visibility and interfering with the further image processing. Developing reliable and interpretable computational imaging methods for restoring smoke-affected surgical images is crucial, as typical image restoration methods relying on color-texture information are insufficient. Here a computational polarization imaging method through surgical smoke is demonstrated, including a refined polarization difference estimation based on the discrete electric field direction, and a corresponding prior-based estimation method, for better parameter estimation and image restoration performance. Results and analyses for ex vivo, the first in vivo animal experiments, and human oral cavity tests show that the proposed method achieves visibility restoration and color recovery of higher quality, and exhibits good generalization across diverse imaging scenarios with interpretability. The method is expected to enhance the precision, safety, and efficiency of advanced image-guided and robotic surgery.
Date Issued
2024-08-14
Date Acceptance
2024-05-09
Citation
Advanced Science, 2024, 11 (30)
ISSN
2198-3844
Publisher
Wiley
Journal / Book Title
Advanced Science
Volume
11
Issue
30
Copyright Statement
© 2024 The Authors. Advanced Science published by Wiley-VCH GmbH
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://onlinelibrary.wiley.com/doi/10.1002/advs.202309998
Publication Status
Published
Article Number
2309998
Date Publish Online
2024-06-05