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Related Experiment Video

Updated: Apr 1, 2026

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

Published on: May 23, 2025

Strategy for accurate liver intervention by an optical tracking system.

Qinyong Lin¹, Rongqian Yang¹, Ken Cai²

¹Department of Biomedical Engineering, South China University of Technology, Guangzhou, Guangdong, China.

Biomedical Optics Express

|September 30, 2015

Summary

This study introduces a real-time method using custom fiducial markers to track liver motion during radiofrequency ablation. This approach accurately identifies the respiratory phase for precise image-guided tumor treatment.

Keywords:

(120.3890) Medical optics instrumentation (170.0170) Medical optics and biotechnology

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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Area of Science:

Medical Imaging
Interventional Radiology
Surgical Navigation

Background:

Image-guided navigation is crucial for radiofrequency ablation (RFA) of liver tumors.
Liver deformation due to respiratory motion poses a significant challenge for accurate needle insertion during RFA.

Purpose of the Study:

To develop and validate a real-time automatic registration strategy for tracking respiratory motion during liver tumor ablation.
To enable accurate correlation of intraoperative patient positioning with static preoperative CT data.

Main Methods:

Design and implementation of custom fiducial markers adhered to the patient's abdomen.
Real-time automatic registration to localize markers in both patient and image spaces.
Calculation of fiducial registration error to determine the current respiratory phase relative to the preoperative CT scan phase.

Main Results:

The proposed real-time automatic registration method demonstrated speed, accuracy, and feasibility.
Successful tracking of skin-adhered fiducial markers to capture the respiratory phase.
Validation through experiments with a liver simulator, human volunteers, and an ex-vivo porcine liver model.

Conclusions:

The developed strategy effectively tracks respiratory motion using custom fiducial markers.
This method enables the generation of an accurate anatomical model from static preoperative CT data for improved image-guided liver interventions.
The technique shows promise for enhancing precision in radiofrequency ablation procedures for liver tumors.