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Fully automatic analysis of ulnar sided wrist injuries using dynamic CT imaging

Wolters, J.H.J. (2023) Fully automatic analysis of ulnar sided wrist injuries using dynamic CT imaging.

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Abstract:Ulnar sided wrist pain is often called the headache of wrist complaints due to the challenge to find the cause of the pain. Damage to the TFCC or ulna plus cause changes the dynamic kinematics of the DRUJ which, if left untreated, may lead to progressive osteoarthritis. Current diagnosis of TFCC injuries remains difficult, visibility of ligaments on conventional imaging techniques is poor and the golden standard of arthroscopy is invasive. Four-dimensional computed tomography (4DCT) allows for kinematic assessment of wrist motion and may visualise the change in kinematics, improving diagnostics. This thesis aims to investigate the feasibility of using automatic 4DCT analysis to assess the DRUJ and TFCC.
Item Type:Essay (Master)
Clients:
Radboud UMC
Faculty:TNW: Science and Technology
Subject:44 medicine
Programme:Technical Medicine MSc (60033)
Link to this item:https://purl.utwente.nl/essays/98279
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