Abstract
Computer assisted orthopaedic surgery ( developed to improve the
alignment of the arthroplasty components, have increased in number significantly during the last decade 1 Some CAOS rely procedures rely on pre-operative imaging, for example, MAKO®, a market leader in CAOS, uses pre-operative CTs for pre-operative planning 2 Segmentation is a key process in developing the required models, however, the impact of the segmentation process on the quality of the resulting model in unknown Therefore, this study investigates the influence of the image threshold level on the surface segmentation of the proximal tibia bone
alignment of the arthroplasty components, have increased in number significantly during the last decade 1 Some CAOS rely procedures rely on pre-operative imaging, for example, MAKO®, a market leader in CAOS, uses pre-operative CTs for pre-operative planning 2 Segmentation is a key process in developing the required models, however, the impact of the segmentation process on the quality of the resulting model in unknown Therefore, this study investigates the influence of the image threshold level on the surface segmentation of the proximal tibia bone
Original language | English |
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Number of pages | 1 |
Publication status | Published - 8 Sept 2022 |
Event | BioMedEng22 - University College London, London, United Kingdom Duration: 8 Sept 2022 → 9 Sept 2022 |
Conference
Conference | BioMedEng22 |
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Country/Territory | United Kingdom |
City | London |
Period | 8/09/22 → 9/09/22 |
Keywords
- computer assisted orthopaedic surgery
- arthroplasty
- pre-operative
- tibia
- imaging