Document Type
Paper
Abstract
The objective is to assess the morphology of infant femurs using a statistical shape model (SSM). The Ortolani collection is used in this study and consists of untreated infant cadaveric specimens with both healthy and dysplastic hips. Computed Tomography (CT) scans of 4 of the 14 specimens in the collection were taken at the University of Padua. Manual and semi-automatic segmentation techniques were used to reconstruct the 2D slices of femurs and generate 3D surface models. The SSM model of the infant femurs will be developed using an open-source software called ShapeWorks developed by the University of Utah. The SSM will provide insight into the relationship between the variations in femur shape and the severity of dysplasia.
Statistical Shape Model (SSM) of Infant Femurs and the Relationship with Severity of Hip Dysplasia
The objective is to assess the morphology of infant femurs using a statistical shape model (SSM). The Ortolani collection is used in this study and consists of untreated infant cadaveric specimens with both healthy and dysplastic hips. Computed Tomography (CT) scans of 4 of the 14 specimens in the collection were taken at the University of Padua. Manual and semi-automatic segmentation techniques were used to reconstruct the 2D slices of femurs and generate 3D surface models. The SSM model of the infant femurs will be developed using an open-source software called ShapeWorks developed by the University of Utah. The SSM will provide insight into the relationship between the variations in femur shape and the severity of dysplasia.
