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Accurate and robust registration method for computer-assisted high tibial osteotomy surgery.
Chuanba Liu1, Yimin Song1, Xinlong Ma2
1Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, 300354, China.
Summary
This study introduces a novel registration algorithm for computer-assisted high tibial osteotomy (HTO) that combines skin surface features with the Iterative Closest Points (ICP) algorithm. The method achieves accurate and stable tibial registration, crucial for orthopedic surgery, with high efficiency.
Area of Science:
- Orthopedic Surgery
- Medical Imaging
- Computer-Assisted Surgery
Background:
- Computer-assisted high tibial osteotomy (HTO) is a common orthopedic procedure.
- Limited incision size and exposure in HTO pose challenges for accurate tibial registration.
- Existing methods struggle with precision and stability in HTO registration.
Purpose of the Study:
- To develop an improved registration algorithm for computer-assisted HTO.
- To enhance tibial registration accuracy and stability by integrating skin surface features.
- To evaluate the precision, stability, and efficiency of the proposed registration method.
Main Methods:
- A novel registration algorithm combining bone and skin surface data.
- Utilizes the Iterative Closest Points (ICP) algorithm with a steepest perturbation search (SPS-ICP).
- Ground-truth established via manual landmarks for evaluation.
Main Results:
- Achieved a proximal fiducial registration error (FRE) of 0.80 ± 0.30 mm.
- Demonstrated high precision with rotational error < 1° and translational error < 1.5 mm.
- Exhibited stability with sparse point sets and an average registration time under 40 seconds.
Conclusions:
- The proposed method offers a robust framework for computer-assisted HTO without extra imaging equipment.
- Enables accurate and stable tibial registration in simulated soft tissue environments.
- The computational efficiency meets the practical demands of surgical operations.
