The effect of image threshold level on patient-specific segmentation of proximal tibia CT images

Asadirad, R. and Kahani, D. and Riches, P. (2022) The effect of image threshold level on patient-specific segmentation of proximal tibia CT images. In: BioMedEng22, 2022-09-08 - 2022-09-09, University College London.

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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

ORCID iDs

Asadirad, R., Kahani, D. ORCID logoORCID: https://orcid.org/0000-0002-5011-380X and Riches, P. ORCID logoORCID: https://orcid.org/0000-0002-7708-4607;
CORE (COnnecting REpositories)