Fusion of Multimodality Image and Point Cloud for Spatial Surface Registration for Knee Arthroplasty

Yanjing Liu^*, Demin Yao^*, Zanjing Zhai^*, Hui Wang, Jiayi Chen, Chuanfu Wu, Hua Qiao, Huiwu Li^†, Yonghong Shi^†

International Journal of Medical Robotics and Computer Assisted Surgery (IF=2.547)

Abstract

Background: Image-guided computer-aided navigation system is an indispensable part of computer assisted orthopaedic surgery. However, the location and number of fiducial markers, the time required to localize fiducial markers in existing systems affect their effectiveness.

Method: The study proposed that spatial surface registration between the point cloud on the surface of the fusion model based on preoperative knee MRI and CT images and the point cloud on the cartilage surface captured by intraoperative laser scanner could solve the above limitations.

Results: The experimental results show that the registration error of the method is less than 2mm, but the total time from scanning the point cloud on patient’s cartilage surface to registering it with the point cloud in preoperative image space is less than 2 minutes.

Conclusion: The method achieves the registration accuracy similar to existing methods without selecting anatomical corresponding points, which is of great help to the clinic.