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Updated: Sep 11, 2025

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Surgical hyperspectral imaging: a systematic review.

Hafsa Moontari Ali1, Yiming Xiao1, Marta Kersten-Oertel1

  • 1Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada.

Computer Assisted Surgery (Abingdon, England)
|August 18, 2025
PubMed
Summary
This summary is machine-generated.

Hyperspectral imaging (HSI) offers objective tissue analysis during surgery without contrast agents. This review highlights its potential for tumor resection guidance and hemodynamic monitoring, despite current integration challenges.

Keywords:
Hyperspectral imaging (HSI)intraoperative guidanceperfusionsurgery

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Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Biomedical Optics

Background:

  • Hyperspectral imaging (HSI) captures extensive spectral data per pixel.
  • It enables objective tissue differentiation without contrast agents in surgery.
  • HSI provides quantitative and qualitative tissue insights.

Purpose of the Study:

  • To review hyperspectral imaging applications in surgery.
  • To analyze HSI hardware, processing methods, and feasibility across procedures.
  • To synthesize findings from a PRISMA-guided systematic literature review.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • Keyword search: hyperspectral AND intraoperative OR intervention OR surgery.
  • Analysis of 85 selected papers on HSI in surgical contexts.

Main Results:

  • HSI shows potential as an intraoperative tool for tumor resection guidance.
  • It generates detailed tissue density and perfusion maps.
  • HSI aids in hemodynamic monitoring and detecting postoperative complications.

Conclusions:

  • HSI demonstrates significant promise for enhancing surgical guidance and monitoring.
  • Challenges in hardware, real-time processing, and clinical integration require further R&D.
  • Advancing HSI is crucial for its broader adoption in surgical practice.