Keywords: Motion Correction, Quantitative Susceptibility mapping
Motivation: There is a need for improving UTE-QSM in the human knee joint, which is prone to motion artifacts due to multiple repeated scans required for a short echo spacing.
Goal(s): To investigate the efficacy of motion registration-based UTE-QSM for knee joint imaging.
Approach: We employed rigid affine-based registration and non-rigid deformable registration based on B-spline as a pre-processing step for generating the QSM data.
Results: It is seen that the registration process helps in reducing streaking artifacts and improving UTE-QSM of the knee joint.
Impact: The UTE-QSM technique of the human knee joint is a potentially sensitive biomarker for the diagnosis of musculoskeletal diseases. Motion registration can improve the accuracy of UTE-QSM and hence likely enhance the diagnostic power.
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