Multimodality‐based knee joint modeling method with bone and cartilage structures for total knee arthroplasty

xlomafota13 shared this article with you from Inoreader Multimodality‐based knee joint modeling method with bone and cartilage structures for total knee arthroplasty Via The International Journal of Medical Robotics and Computer Assisted Surgery Abstract Objective We propose a robust and accurate knee joint modeling method with bone and cartilage structures to enable accurate surgical guidance for knee surgery. Methods A multimodality registration strategy is proposed to fuse MR and CT images of the femur and tibia separately to remove spatial inconsistency caused by knee bending in CT/MR scans. Automatic segmentation of the femur, tibia, and cartilages is carried out with ROI clustering and intensity analysis based on the multimodal fusion of images. Results Experimental results show that the registration error is 1.13 ± 0.30 mm. The Dice similarity coefficient (DSC) values of the proposed segmentation method of the femur, tibia, femoral and tibial cartilages are 0.969, 0.966, 0.910, and 0.872, respectively. Conclusions This study demonstrates the feasibility and effectiveness of multimodality-based registration and segmentation methods for knee joint modeling. The proposed metho d can provide users with 3D anatomical models of the femur, tibia, and cartilages with few human inputs. This article is protected by copyright. All rights reserved. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.