Article: Dynamic visualisation and measurement of cartilage morphology by magnetic resonance imaging-based knee kinematics Journal: International Journal of Computer Applications in Technology (IJCAT) 2023 Vol.71 No.4 pp.321 - 331 Abstract: To address the limitation in static imaging for clinical diagnosis of knee joints based on a snapshot of the knee in a fixed pose, an approach is presented for quantitative assessment of knee joints in a dynamic manner. The core of the proposed approach is based on kinematics of the knee bones, whereby articulation of knee joints derived from magnetic resonance imaging is emulated by capturing and mimicking the movement of an artificial anatomical knee model. Through bone-based kinematic emulation, dynamic visualisation and measurement of cartilage morphology are demonstrated by focusing on tibiofemoral cartilage thickness as a function of knee joint movement angle. In particular, the differences in dynamic tibiofemoral cartilage thickness between two knees with mild and severe osteoarthritis are illustrated to show the effectiveness and potential of the proposed approach. Also presented is an interactive visualisation and measurement tool based on Matlab for dynamic knee joint assessment. Inderscience Publishers - linking academia, business and industry through research

Title: Dynamic visualisation and measurement of cartilage morphology by magnetic resonance imaging-based knee kinematics

Authors: Wei Quan; Zhe Wang; Lik-Kwan Shark

Addresses: Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, England, UK ' Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, England, UK ' Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, England, UK

Abstract: To address the limitation in static imaging for clinical diagnosis of knee joints based on a snapshot of the knee in a fixed pose, an approach is presented for quantitative assessment of knee joints in a dynamic manner. The core of the proposed approach is based on kinematics of the knee bones, whereby articulation of knee joints derived from magnetic resonance imaging is emulated by capturing and mimicking the movement of an artificial anatomical knee model. Through bone-based kinematic emulation, dynamic visualisation and measurement of cartilage morphology are demonstrated by focusing on tibiofemoral cartilage thickness as a function of knee joint movement angle. In particular, the differences in dynamic tibiofemoral cartilage thickness between two knees with mild and severe osteoarthritis are illustrated to show the effectiveness and potential of the proposed approach. Also presented is an interactive visualisation and measurement tool based on Matlab for dynamic knee joint assessment.

Keywords: kinematics; magnetic resonance imaging; knee assessment; motion tracking; modelling and emulation; knee joint landmark; cartilage thickness.

DOI: 10.1504/IJCAT.2023.132403

International Journal of Computer Applications in Technology, 2023 Vol.71 No.4, pp.321 - 331

Received: 13 May 2022
Received in revised form: 23 Aug 2022
Accepted: 08 Sep 2022
Published online: 19 Jul 2023 *

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Title: Dynamic visualisation and measurement of cartilage morphology by magnetic resonance imaging-based knee kinematics

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