Computer vision augmented indocyanine green near-infrared fluorescence (ICG-NIRF) signal-to-background ratio (SBR) for identification of extrahepatic biliary structures in laparoscopic cholecystectomy - Summary - MDSpire
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Computer vision–enhanced signal-to-background analysis of indocyanine green near-infrared fluorescence to identify extrahepatic biliary anatomy during laparoscopic cholecystectomy

  • By

  • Philip J. Seger

  • Shinil Shah

  • Akhil Gorugantu

  • Nan Xi

  • Brendan T. Fox

  • Rishikesh Bhyri

  • Kaity Tung

  • Rita Glazer

  • Brian Quaranto

  • Junsong Yuan

  • Erik Wilson

  • Gene Yang

  • Steven D. Schwaitzberg

  • Peter C. W. Kim

  • October 8, 2026

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Objective:

To assess whether computer vision can improve the signal-to-background ratio (SBR) of indocyanine green near-infrared fluorescence (ICG-NIRF) for identifying extrahepatic biliary ducts during laparoscopic cholecystectomy, and to demonstrate feasibility of combining ICG-NIRF with white-light imaging.

Approach:
  • Study rationale: The authors hypothesized that attenuating background liver fluorescence would improve detection of biliary structures and explored a multimodal computer-vision method to highlight ducts while retaining white-light anatomical context.
  • Video dataset: A multi-institutional database contained 928 adult and pediatric laparoscopic cholecystectomy videos collected from January 2019 through March 2025. ICG-NIRF was used in 156 cases.
  • Frame selection: Eligible videos showed the gallbladder and extrahepatic ducts with biliary fluorescence and minimal blur or camera instability. Screening yielded 487 clips; frames were extracted at two per second.
Key Findings:
  • The supplied context describes the study rationale and initial data-processing methods but does not provide quantitative results.
  • The authors propose a computer-vision fusion image that selectively enhances extrahepatic ducts in ICG-NIRF while preserving surrounding white-light anatomy.
Interpretation:

The study is designed to address background fluorescence and subjective interpretation that can limit ICG-NIRF visualization. The provided context establishes the hypothesis and technical aim, but does not report whether the method improved SBR or clinical outcomes.

Limitations:
  • The supplied article context ends during the methods section and does not include the full methods, results, or discussion.
  • No quantitative performance measures, validation details, or clinical outcome data are provided in the supplied context.
Conclusion:

The authors describe a computer-vision approach intended to improve ICG-NIRF biliary visualization and combine it with white-light anatomical context; its effectiveness cannot be determined from the provided material.

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