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Abstract #0495

Collagen Fibre Direction Estimation Using a Prototype Rotatable Low Field Scanner

Harry Lanz1, Karyn Elizabeth Chappell2, John McGinley1, Chinmay Gupte3, Dimitri Amiras3, and Mihailo Ristic1
1Mechanical Engineering, Imperial College London, London, United Kingdom, 2Imperial College London, London, United Kingdom, 3Department of Surgery & Cancer, Imperial College London, London, United Kingdom

Synopsis

Keywords: Tendon/Ligament, Joints, Magic angle, collagen, PCL, ACL, soft registration

Motivation: Certain types of tendon and ligament pathologies are hard to diagnose using conventional MRI. This can lead to invasive procedures or under-informed decisions regarding treatment.

Goal(s): The goal of this research is to develop a novel scanner and image analysis techniques in order to assess tendon/ligament structure and health non-invasively.

Approach: Tendons/ligaments contain collagen fibres that produce different signal intensities at different B0 orientations, this is the "magic angle effect". We have developed a rotatable scanner to reorient B0 to exploit this effect.

Results: This study shows successful tendon structure estimation of a bovine PCL using our scanner and image processing techniques.

Impact: The results of this study provide a foundation to begin testing our methodology in-vivo. Our successful fibre estimation in a bovine PCL has shown our scanner captures the magic angle effect and our processing techniques can estimate collagen fibre directions.

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Keywords