Development of Bone-based Kinematics from Magnetic Resonance Imaging for Immersive Assessment of Knee Joints

Wang, Zhe, Quan, Wei orcid iconORCID: 0000-0003-2099-9520 and Shark, Lik-Kwan orcid iconORCID: 0000-0002-9156-2003 (2022) Development of Bone-based Kinematics from Magnetic Resonance Imaging for Immersive Assessment of Knee Joints. In: ICIGP 2022: 2022 the 5th International Conference on Image and Graphics Processing (ICIGP), 7-9 January 2022, Beijing, China.

Full text not available from this repository.

Official URL: https://doi.org/10.1145/3512388.3512414

Abstract

By extracting the moving trajectory of an artificial anatomical knee model (AAKM), this paper presents a novel development of bone-based kinematics from magnetic resonance imaging (MRI) for immersive assessment of knee joints. Using this tool, it becomes possible to emulate patient-specific knee kinematics constructed from MRI, visualize surface contact areas between internal joint components during movement, and assess the damage of knee joints in a dynamic, immersive and interactive manner, with the help of the state-of-the-art virtual reality (VR) technology.


Repository Staff Only: item control page