Magnetic resonance imaging-based bone imaging of the lower limb: Strategies for generating high-resolution synthetic computed tomography.

Mateusz C Florkow¹, Chien H Nguyen^2,3, Ralph J B Sakkers², Harrie Weinans², Mylene P Jansen⁴, Roel J H Custers², Marijn van Stralen⁵, Peter R Seevinck^1,5

¹Image Sciences Institute, University Medical Centre Utrecht, Utrecht, The Netherlands.

²Department of Orthopaedics, University Medical Centre Utrecht, Utrecht, The Netherlands.

³3D Lab, University Medical Centre Utrecht, Utrecht, The Netherlands.

⁴Department of Rheumatology & Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands.

⁵MRIguidance B.V., Utrecht, The Netherlands.

PubMed DOI

Abstract

This study aims at assessing approaches for generating high-resolution magnetic resonance imaging- (MRI-) based synthetic computed tomography (sCT) images suitable for orthopedic care using a deep learning model trained on low-resolution computed tomography (CT) data. To that end, paired MRI and CT data of three anatomical regions were used: high-resolution knee and ankle data, and low-resolution…

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