Intra-observer variability of CT image segmentation of the knee joint
Asadirad, R. and Kahani, D. and Riches, P. (2022) Intra-observer variability of CT image segmentation of the knee joint. In: BioMedEng22, 2022-09-08 - 2022-09-09, University College London.
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Abstract
: Computer Assisted Orthopedic Surgery (CAOS), developed to improve the alignment of the arthroplasty components, has increased in number significantly during the last decade. Some CAOS procedures rely on preoperative imaging, raising the possibility of and inter and intra observer variability affecting segmentations previously studied in a variety of other tissues and locations. However, despite the high prevalence of knee models and applications of knee joint models, the variability and repeatability of segmentation of knee not been previously investigated. Therefore, this study investigates the intra observer influence on semi automatic segmentation of the knee joint.
ORCID iDs
Asadirad, R., Kahani, D. ORCID: https://orcid.org/0000-0002-5011-380X and Riches, P. ORCID: https://orcid.org/0000-0002-7708-4607;-
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Item type: Conference or Workshop Item(Poster) ID code: 89286 Dates: DateEvent8 September 2022PublishedSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Faculty of Engineering > Biomedical Engineering
Faculty of Engineering > Design, Manufacture and Engineering Management
Faculty of Engineering > BioengineeringDepositing user: Pure Administrator Date deposited: 20 May 2024 08:59 Last modified: 16 Dec 2024 03:19 URI: https://strathprints.strath.ac.uk/id/eprint/89286