Authors:
José Negrillo-Cárdenas
;
Juan-Roberto Jiménez-Pérez
and
Francisco R. Feito
Affiliation:
Graphics and Geomatics Group of Jaén, University of Jaén, Campus Las Lagunillas S/N, Jaén and Spain
Keyword(s):
Bone, Humerus, Feature Detection, Landmark Detection, Geometrical Approach, Spatial Decomposition.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Geometric Computing
;
Geometry and Modeling
;
Model Validation
;
Modeling and Algorithms
;
Surface Modeling
Abstract:
Identification of specific landmarks in tissues is fundamental for understanding the human anatomy in medical applications. Specifically, the assessment of bone features allows to detect several pathologies in orthopedics. The recognition has been formerly carried out via visual identification, providing insufficient accuracy. Automatic solutions are required to improve the precision and minimize diagnostic and surgical planning time. In this paper, we study distal humerus landmarks and a new algorithm to automatically detect them in a reasonable time. Our technique does not require a prior training, as a geometrical approach with a spatial decomposition is used to explore several regions of interest of the bone. Finally, a set of experiments are performed, showing promising results.