Skip to main navigation Skip to search Skip to main content

Intelligent Planning Method for Femoral Tunnel Placement in Anterior Cruciate Ligament Reconstruction Surgery

  • Xujia Wang
  • , Pengtao Shi
  • , Wenxin Chen
  • , Sida Lyu
  • , Min Wei
  • , Yanpeng Zhao
  • , Xingguang Duan
  • , Changsheng Li*
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • The Fourth Medical Center ofPLA General Hospital

Research output: Contribution to journalConference articlepeer-review

Abstract

To address the challenges in anterior cruciate ligament (ACL) reconstruction surgery-such as the high precision required for femoral tunnel positioning, lack of standardized procedures, and the time-consuming nature of preoperative planning-an intelligent femoral tunnel planning method based on CT imaging is proposed. This approach integrates techniques from 3D segmentation and reconstruction of knee joint CT images based on 3D U-Net and prior knowledge, with tunnel planning guided by the quadrant method and ratio analysis, aiming to improve the accuracy and standardization of both intra-articular and extra-articular femoral tunnel orifice localization. The proposed method was assessed through human-machine comparison and physical model validation. Experimental results demonstrate that the automated approach attains positioning accuracy comparable to that of expert manual operation, while offering faster speed and greater consistency.

Original languageEnglish
Pages (from-to)204-210
Number of pages7
JournalProcedia Computer Science
Volume271
DOIs
Publication statusPublished - 2025
Event2025 International Conference on Biomimetic Intelligence and Robotics, ICBIR 2025 - Zhangye, China
Duration: 26 Aug 202528 Aug 2025

Keywords

  • Femoral Tunnel Planning
  • Medical Image Segmentation
  • Quadrant Method

Fingerprint

Dive into the research topics of 'Intelligent Planning Method for Femoral Tunnel Placement in Anterior Cruciate Ligament Reconstruction Surgery'. Together they form a unique fingerprint.

Cite this