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SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement

Olafsdottir, A; Majed, A; Butt, D; Falworth, M; Clarkson, M; Thompson, S; (2022) SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement. In: Linte, CA and Siewerdsen, JH, (eds.) Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE: San Diego, CA, USA. Green open access

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Abstract

Correct understanding of the geometry of the glenoid (the socket of the shoulder joint) is key to successful planning of shoulder replacement surgery. This surgery typically involves placing an implant in the shoulder joint to restore joint function. The most relevant geometry is the glenoid version, which is the angular orientation of the glenoid surface relative to the long axis of the scapula in the axial plane. However, measuring the glenoid version is not straightforward and there are multiple measurement methods in the literature and used in commercial planning software. In this paper we introduce SciKit-SurgeryGlenoid, an open source toolkit for the measurement of glenoid version. SciKit-SurgeryGlenoid contains implementations of the 4 most frequently used glenoid version measurement algorithms enabling easy and unbiased comparison of the different techniques. We present the results of using the software on 10 sets of pre-operative CT scans taken from patients who have subsequently undergone shoulder replacement surgery. We further compare these results with those obtained from a commercial implant planning software. SciKit-SurgeryGlenoid currently requires manual segmentation of the relevant anatomical features for each method. Future work will look at automating the segmentation process to build an automatic and repeatable pipeline from CT or radiograph to quantitative glenoid version measurement.

Type: Proceedings paper
Title: SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement
Event: SPIE Medical Imaging, 2022
Location: San Diego (CA), USA
Dates: 22nd-24th February 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2608597
Publisher version: https://doi.org/10.1117/12.2608597
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10136649
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