Computer vision augmented indocyanine green near-infrared fluorescence (ICG-NIRF) signal-to-background ratio (SBR) for identification of extrahepatic biliary structures in laparoscopic cholecystectomy - Takeaways - 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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  • 1

    Bile duct injury occurs in 0.3% to 0.8% of laparoscopic cholecystectomies and is associated with substantial morbidity and cost.

  • 2

    Indocyanine green near-infrared fluorescence can map extrahepatic bile ducts, but background liver fluorescence can limit their recognition.

  • 3

    The study hypothesized that attenuating background liver fluorescence would improve signal-to-background detection of critical biliary structures.

  • 4

    The authors developed a computer vision approach to fuse white-light and ICG-NIRF images, enhancing biliary signals while preserving surrounding anatomy.

  • 5

    The multi-institutional database included 928 laparoscopic cholecystectomy videos, of which 156 cases used ICG-NIRF; screening yielded 487 high-quality clips.

Original Source(s)

Computer vision augmented indocyanine green near-infrared fluorescence (ICG-NIRF) signal-to-background ratio (SBR) for identification of extrahepatic biliary structures in 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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