University of Twente Student Theses


Automatic analysis of wrist kinematics using 4DCT : Development of an automatic algorithm for the diagnosis of scapholunate ligament injuries

Teule, E.H.S. (2022) Automatic analysis of wrist kinematics using 4DCT : Development of an automatic algorithm for the diagnosis of scapholunate ligament injuries.

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Abstract:Objective: Injury to the scapholunate interosseous ligament (SLIL) causes carpal instability, in which the normal alignment and kinematics of carpal bones are disturbed. Early diagnosis and treatment of SLIL injury are essential to prevent progression to wrist osteoarthritis. Arthroscopy, the current golden standard for diagnosing SLIL injury, is invasive, associated with complications and does not allow for kinematic assessment. Four-Dimensional Computed Tomography (4DCT) is a recently developed technique that allows for non-invasive kinematic assessment of the wrist. 4DCT has the potential to diagnose SLIL injury in an early stage. Due to the vast amount of data, analysis of 4DCT scans should be automatic. Therefore, this thesis aims to take the first steps in the development of an automatic algorithm that analyzes carpal kinematics from 4DCT scans. Methods: Each 4DCT scan consisted of a static CT scan of the forearm and a dynamic scan in which two wrist movements were imaged in 14 seconds; radial to ulnar deviation (RUD) and flexion to extension (FE). An automatic motion analysis algorithm was developed which consisted of carpal bone segmentation, image registration, and extraction of relevant motion parameters. Using different mathematical approaches, the scapholunate angle (SLA), radioscaphoid angle (RSA), radiolunate angle (RLA) and the scapholunate (SL) distance were automatically calculated in each dynamic frame of the 4DCT scan. The created algorithm was tested on 4DCT data of 32 subjects, of which 31 healthy wrists and 1 SLIL-injured wrist. Results: The proposed algorithm showed to be feasible for automatic analysis of carpal kinematics using 4DCT scans. In healthy wrists, all carpal angles showed more variation during FE compared to RUD. The average SL distance remained below 2 mm during both wrist movements. In the SLIL-injured wrist, a decreased RLA and an increased SL distance were found during both wrist movements compared to healthy wrists. Conclusion: In this thesis, a fully automatic algorithm for carpal kinematic analysis from 4DCT scans was developed. Automatic analysis of one SLIL-injured wrist revealed that differences in motion parameters can be observed between injured and uninjured wrists, showing the potential of 4DCT for diagnosing SLIL injury. Future work should focus on the analysis of more 4DCT data from SLIL-injured wrists.
Item Type:Essay (Master)
Radboudumc, Nijmegen, The Netherlands
Faculty:TNW: Science and Technology
Subject:44 medicine
Programme:Technical Medicine MSc (60033)
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