Automatic Detection of Distal Humerus Features: First Steps


Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP pp. 354-359

José Negrillo-Cárdenas; Juan-Roberto Jiménez-Pérez; Francisco R. Feito



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.


DOI: 10.5220/0007686103540359

URL  

BibTeX
@inproceedings{Negrillo2019,
author = {Jos\'e Negrillo-C\'ardenas and Juan Roberto Jim\'enez-P\'erez and Francisco Ram\'on Feito-Higueruela},
title = {Automatic Detection of Distal Humerus Features: First Steps},
booktitle = {Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
pages = {354-359},
year = {2019},
address = {Prague (Czech Republic), 25-27 Febrero},
doi = {10.5220/0007686103540359},
isbn = {978-989-758-354-4}
}