Currently available methods for evaluating dog femur deformities are principally based on 2D image analysis of radiographies. By CT or MRI, 3D information can be derived from points clouds or meshes. This work proposes an original approach for morphological and clinical parameters assessment on meshes. The method is validated on dog femur meshes measured by two 3D scanners with different resolutions. The results show that the 3D proposed approach overcomes several limits of the methods based on 2D image analysis.

Mesh processing for morphological and clinical parameters computation in dog femur

FILIPPI, Stefano
2016

Abstract

Currently available methods for evaluating dog femur deformities are principally based on 2D image analysis of radiographies. By CT or MRI, 3D information can be derived from points clouds or meshes. This work proposes an original approach for morphological and clinical parameters assessment on meshes. The method is validated on dog femur meshes measured by two 3D scanners with different resolutions. The results show that the 3D proposed approach overcomes several limits of the methods based on 2D image analysis.
978-3-319-26119-5
978-3-319-26121-8
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11390/1083879
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