Magic Angle Direction Imaging (MADI) ACL Study

This study will be conducted to see if a new Magnetic Resonance Imaging (MRI) scanner could give additional information or help view the body in a different way. The new scanner may be useful to diagnose conditions affecting tissues such as ligaments, tendons and cartilage more accurately, potentially improving the quality of care by the NHS. To develop such protocols and to test the clinical capabilities of the scanner, it is necessary to evaluate the scans of healthy volunteers before recruiting patient participants.

Conventional MRI scans are unable to detect the signal from tissues such as ligaments, tendons, cartilage and cortical bone, which contain highly aligned collagen fibres and the signal decays too quickly to be captured. These tissues appear black and are only seen because of the surrounding brighter tissues. If a bright region appears, it can be a sign of an injury or disease, but it can also appear due to the Magic Angle artefacts, when the collagen fibres are at a specific angle to the main magnetic field of the MR scanner. This anomaly can make assessment of these tissues difficult. Currently the diagnostic gold standard is arthroscopy, though it is mostly undertaken therapeutically.

The method harnesses this inherent tissue property to gain information about these collagen-rich tissues in joints. Using Magic Angle Direction Imaging (MADI) it is possible to obtain detailed information about the collagen fibre structures, and this is not available using conventional MRI. MADI could be important for planning surgery, developing new tissue implants, and monitoring outcome measures.

In both standard cylindrical scanner and the conventional open scanner, it is impossible to move the magnet, nor the patient, in the required manner. This motivated the development of a novel prototype MA scanner that can move around the patient.

The aim of this study is to evaluate the ability to routinely perform in-vivo Magic Angle-MRI of collagen structures in joints based on the magic angle principle, and to assess the ability to use qualitative and quantitative assessment of the Magic Angle-MR images to distinguish between the pathologies of the soft structures imaged.