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Nerve Detection and Visualization Using Hyperspectral Imaging for Surgical Guidance.

Minh Ha Tran1,2, Michelle Bryarly1,2, Ling Ma1,2

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Proceedings of Spie--The International Society for Optical Engineering
|May 6, 2024
PubMed
Summary
This summary is machine-generated.

Hyperspectral imaging (HSI) enhances surgical precision by accurately identifying nerve tissues. This new workflow uses spectral angle mapper and endmember selection for real-time nerve detection, improving image-guided surgery.

Keywords:
Hyperspectral imagingimage-guided surgerynerve detectionspectral angle mapper

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Area of Science:

  • Medical imaging
  • Biomedical engineering
  • Surgical technology

Background:

  • Differentiating nerve tissue from surrounding tissues during surgery is critical for patient safety.
  • Standard RGB imaging has limitations in visualizing subtle tissue differences.
  • Hyperspectral imaging (HSI) offers enhanced contrast by capturing numerous spectral bands.

Purpose of the Study:

  • To develop and validate a workflow for identifying nerve tissues using HSI.
  • To improve the visualization of nerve structures not easily discernible with conventional imaging.

Main Methods:

  • Utilized a compact HSI system (400-1700 nm) for data acquisition.
  • Developed a workflow based on spectral angle mapper (SAM) and endmember selection.
  • Validated the method on two human tissue samples under varying conditions.

Main Results:

  • Achieved intersection-over-union (IoU) segmentation scores of 84.15% and 76.73% on human tissue samples.
  • Demonstrated successful identification of nerve segments invisible to RGB imaging.
  • Confirmed robustness across different environmental and lighting conditions.

Conclusions:

  • The developed HSI workflow effectively identifies nerve tissues, surpassing RGB imaging capabilities.
  • This fast, real-time method does not require specialized hardware, making it broadly applicable.
  • HSI-based nerve detection presents a promising tool for enhancing image-guided surgical procedures.