Abstract #4240

Optimizing the use of diffusion tensor imaging for clinical tractography of the anterior cruciate ligament in the knee

Allen A Champagne^1,2, Don Brien², Andrew McGuire³, Paul Fenton⁴, Yousef A Marwan⁵, Paul A Martineau⁵, and Davide D Bardana³

¹School of Medicine, Queen's University, Kingston, ON, Canada, ²Center for Neuroscience Studies, Queen's University, Kingston, ON, Canada, ³Orthopedic Surgery, Queen's University, Kingston, ON, Canada, ⁴Diagnostic Radiology, Queen's University, Kingston, ON, Canada, ⁵Orthopedic Surgery, McGill University, Montreal, QC, Canada

Emergence of diffusion tensor imaging (DTI) has provided an exciting avenue to characterize the ligamentization process of the anterior cruciate ligament (ACL), following knee injury. However, a diverse, but limited, suite of published diffusion weighted sequences with varying parameters have posed a significant challenge to clinician-scientists wanting to integrate DTI as a tool to study the ACL. In this study, we provide a detailed comparison of DTI acquisitions toward the optimisation of ACL reconstruction using semi-automated fiber-based probabilistic tractography (FBPT), as a step-stone and reference for the clinical integration of DTI toward assessing microstructural integrity of the cruciate ligaments.

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