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Abstract #0502

Multiband Real-Time MRI at high frame rate (80fps) for studying the kinematics of joint movement in health and disease.

Isaac Watson1, Elisa Zamboni2, James McStravick3, Fabio Zambolin3, Martin Trefzer1, Angelika Sebald4, Jamie S McPhee3, and Aneurin James Kennerley3
1School of Physics, Engineering and Technology, University of York, York, United Kingdom, 2School of Psychology, University of Nottingham, Nottingham, United Kingdom, 3Sports and Exercise Sciences, Manchester Metropolitan University, Manchester, United Kingdom, 4York Cross-disciplinary Centre for Systems Analysis, University of York, York, United Kingdom

Synopsis

Keywords: Whole Joint, Data Acquisition, Real Time MRI

Motivation: Our research addresses the need for improved imaging techniques to assess joint kinematics in orthopedic and neuro-pathological conditions, with a focus on osteoarthritis.

Goal(s): The goal of this project is to investigate the capability of real-time MRI to assess joint mobility and function to aid clinical diagnosis and health/exercise research.

Approach: We use a multi-band real-time MRI sequence, capturing joint movement at 80 frames per second in various body parts, including the mouth, temporo-mandibular joint, thumb, knee, and foot/ankle.

Results: We demonstrate the feasibility of real-time MRI, offering detailed kinematic information while retaining soft tissue contrast.

Impact: Our real-time MRI technique, capturing joint motion at 80 frames per second, can empower clinical diagnostics and health research related to joint kinematics. It offers precise, dynamic insights into joint function, potentially improving patient care and advancing scientific understanding.

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Keywords