Presenter Information

Tamara ChambersFollow

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.

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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.

 

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