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 pre-operative imaging, raising the possibility of inter-and intra-observer variability affecting segmentations previously studied in various other tissues and locations [1]. However, despite the high prevalence of knee models and the abundance of TKR surgeries, to our knowledge, no study attempts to investigate the reliability and variability of the segmentation of knee joints. Therefore, the main purpose of this study is to find the intra- and inter-examiner variability of image segmentation of the knee.
Original language | English |
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Number of pages | 1 |
Publication status | Published - 14 Sept 2023 |
Event | BioMedEng2023 - Swansea University, Swansea , United Kingdom Duration: 14 Sept 2023 → 15 Sept 2023 https://biomedeng.org/biomedeng23/ |
Conference
Conference | BioMedEng2023 |
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Country/Territory | United Kingdom |
City | Swansea |
Period | 14/09/23 → 15/09/23 |
Internet address |
Keywords
- knee joint
- semiautomatic segmentation
- CT imaging