Abstract #5041

Prediction of the mechanical properties of articular cartilage with QSM and T2* in equine post traumatic osteoarthritis model

Olli Juhani Nykänen¹, Juuso Ketola², Henri Leskinen¹, Jaakko Sarin^1,3, Nikae te Moller⁴, Irina A.D. Mancini⁴, Harold Brommer⁴, Rene van Weeren⁴, Jos Malda^4,5, Juha Töyräs^1,3, and Mikko J Nissi¹

¹Department of Applied Physics, University of Eastern Finland, Kuopio, Finland, ²Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, ³Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland, ⁴Department of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands, ⁵Department of Orthopaedics, University Medical Center Utrecht, Utrecht, Netherlands

In this study, we investigated the potential of quantitative susceptibility mapping (QSM) and T2* mapping to predict the mechanical properties of equine articular cartilage. To assess the potential of these parameters, they were used to predict the biomechanical properties of cartilage using artificial neural network (ANN) modelling of the 235 mechanical testing points in 20 equine samples representing variable tissue properties. The results indicated that both T2* and QSM correlate moderately with biomechanics (r=0.648 and r=0.652, respectively) and combining these parameters improved the correlation slightly (r=0.714). The study highlights the potential of both quantitative MRI and ANN-analysis in cartilage imaging.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.