High-Fidelity Haptic Rendering for Virtual Drilling on Gradient Porous Bone in Surgery Training

Drilling is an essential procedure in many orthopedic surgeries. Especially in femoral neck fracture surgery, any loss of control can lead to secondary injury to the patient. Consequently, it is imperative for orthopaedists to undergo extensive training to master the appropriate haptic interaction. In this work, a virtual drilling surgery training system with high-fidelity haptic feedback is developed for femoral neck fracture. First, to achieve realistic visual rendering, the external boundary of femur is reconstructed using Triple dexel, allowing for fast and realistic surface reconstruction. Next, the heterogeneous and hierarchical structure of femur is reconstructed using multi-morphology with three periodic minimal surface (TPMS) design approaches. Then, a haptic interaction algorithm based on Triple dexel and TPMS is proposed. This algorithm uses the TPMS equations to quickly compute the densities of the bone chips produced by Triple dexel Boolean operations, thus simulating the variation in porosity at different positions of the bone and providing precise haptic feedback during the drilling process. Finally, a robotic experimental platform is established, and the proposed force model is verified using bovine bones. The results show that the measured values are consistent with the experimental values. Furthermore, evaluation of the training system with medical students as participants shows that a fine haptic rendering improves users' hand-eye coordination skills.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Haptics
Published
2025-10-01
DOI
https://doi.org/10.1109/toh.2025.3634673
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Fidelity Haptic Rendering for Virtual Drilling on Gradient Porous Bone in Surgery Training

Zi-Peng Chi, Hailong Xie, Chunhai Li, Daining Fang et al.
IEEE Transactions on Haptics
Teleoperation and Haptic Systems
article

High-Fidelity Haptic Rendering for Virtual Drilling on Gradient Porous Bone in Surgery Training

Zi-Peng Chi, Hailong Xie, Chunhai Li, Daining Fang, Jing‐Rong Li, Gangyi Yang, Qinghui Wang
article en

Abstract

Drilling is an essential procedure in many orthopedic surgeries. Especially in femoral neck fracture surgery, any loss of control can lead to secondary injury to the patient. Consequently, it is imperative for orthopaedists to undergo extensive training to master the appropriate haptic interaction. In this work, a virtual drilling surgery training system with high-fidelity haptic feedback is developed for femoral neck fracture. First, to achieve realistic visual rendering, the external boundary of femur is reconstructed using Triple dexel, allowing for fast and realistic surface reconstruction. Next, the heterogeneous and hierarchical structure of femur is reconstructed using multi-morphology with three periodic minimal surface (TPMS) design approaches. Then, a haptic interaction algorithm based on Triple dexel and TPMS is proposed. This algorithm uses the TPMS equations to quickly compute the densities of the bone chips produced by Triple dexel Boolean operations, thus simulating the variation in porosity at different positions of the bone and providing precise haptic feedback during the drilling process. Finally, a robotic experimental platform is established, and the proposed force model is verified using bovine bones. The results show that the measured values are consistent with the experimental values. Furthermore, evaluation of the training system with medical students as participants shows that a fine haptic rendering improves users' hand-eye coordination skills.

IEEE Transactions on HapticsVol. 18(4)
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), South China University of Technology (CN)
Openalex Percentile: Top 64%
Teleoperation and Haptic Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.