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Updated: Sep 28, 2025

Bloodless Laparoscopic Partial Splenectomy Assisted by Bipolar Radiofrequency Excision Hemostatic Device
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Smart Blood Vessel Detection System for Laparoscopic Surgery.

Ching-Chia Li1, Bor-Shing Lin2, Sheng-Chen Wen1

  • 1Department of UrologyKaohsiung Medical University Chung-Ho Memorial Hospital Kaohsiung 80756 Taiwan.

IEEE Journal of Translational Engineering in Health and Medicine
|March 29, 2022
PubMed
Summary

A novel smart blood vessel detection system for laparoscopic surgery uses near-infrared spectroscopy to accurately identify vascular and avascular tissues, improving surgical safety and outcomes.

Keywords:
Laparoscopic surgeryhemoglobin parametersnear infrared spectroscopyneural networkvascular location

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Area of Science:

  • Biomedical Engineering
  • Surgical Technology
  • Medical Imaging

Background:

  • Laparoscopic surgery offers benefits like smaller scars and faster recovery but suffers from limited visibility and tactile feedback.
  • The risk of accidental blood vessel damage during laparoscopy can lead to severe bleeding.
  • Current Doppler ultrasound methods for vascular detection are limited by angle dependency, bone shadows, and poor artery-vein differentiation.

Purpose of the Study:

  • To develop an advanced smart blood vessel detection system for laparoscopic surgery.
  • To overcome the limitations of current vascular detection techniques in minimally invasive procedures.

Main Methods:

  • The system utilizes near-infrared spectroscopy to measure total hemoglobin (HbT) parameters at multiple depths.
  • A neural network is employed for human tissue type recognition.
  • The system leverages differences in HbT and oxygen saturation (StO2) to distinguish vascular from avascular tissues.
  • A mechanically rotatable probe design facilitates operation within body cavities.

Main Results:

  • The system demonstrated a high capability in differentiating vascular from avascular locations across various tissue depths.
  • Phantom and animal studies validated the system's effectiveness and performance in detecting blood vessels.

Conclusions:

  • The proposed near-infrared spectroscopy-based system significantly enhances blood vessel detection accuracy during laparoscopic surgery.
  • This technology has the potential to improve surgical safety by reducing the risk of inadvertent vascular injury.