Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5032777 | Medical Engineering & Physics | 2016 | 7 Pages |
Abstract
The proposed segmentation pipeline is accurate, robust and completely user free. The method is robust to patient orientation, image artifacts and poorly defined edges. The results excelled even in CT images with a significant slice thickness, i.e., above 5Â mm. Medullary canal segmentation increases the geometric information that can be used in orthopedic surgical planning or in finite element analysis.
Keywords
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Physical Sciences and Engineering
Engineering
Biomedical Engineering
Authors
Diogo F. Almeida, Rui B. Ruben, João Folgado, Paulo R. Fernandes, Emmanuel Audenaert, Benedict Verhegghe, Matthieu De Beule,