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Updated: Apr 30, 2026
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Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
Published on: May 23, 2025
592
Tumour-focused 3D-2D registration in liver laparoscopy
Mohammad Zohaib1, Erol Ozgur2, Mohammad Alkhatib3
1MaLGa-DIBRIS, University of Genoa, Genoa, Italy.
Summary
This study introduces a new augmented reality (AR) method for liver surgery guidance. The technique accurately registers tumours using laparoscopic ultrasonography, improving precision and reducing uncertainty in augmented reality tumor resection.
Area of Science:
- Medical Imaging
- Surgical Technology
- Computer-Assisted Surgery
Background:
- Augmented reality (AR) in liver laparoscopy relies on registering 3D models to 2D images.
- Current methods struggle with registration accuracy due to limited fields of view, tissue deformation, and multimodal data.
- Extrapolating surface data to internal tumors introduces significant uncertainty.
Purpose of the Study:
- To develop an accurate and clinically adaptable AR guidance system for liver tumor resection.
- To overcome the limitations of existing surface-based registration methods in laparoscopic liver surgery.
Main Methods:
- Proposed tumour-focused 3D-2D registration (Tf32) method.
- Utilizes laparoscopic ultrasonography (LUS) for intraoperative tumor localization.
- Matches preoperative tumor models with intraoperative LUS data, refined with iterative closest point (ICP).
Main Results:
- Tf32 achieved a 91.07% success rate in meeting the 10 mm oncological margin.
- Established a new state-of-the-art performance on a public benchmark dataset.
- Demonstrated superior accuracy and robustness compared to existing methods.
Conclusions:
- Tf32 offers a more accurate AR guidance solution for liver tumor resection.
- The method eliminates the need for manual initialization and the complete liver 3D model.
- Tf32 is well-suited for clinical adoption due to its accuracy and efficiency.
