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| Titre: | ROI impact on the characterization of knee osteoarthritis using fractal analysis |
| Auteur(s): | Janvier, Thomas
Toumi, Hechmi
Harrar, Khaled
Lespessailles, Eric
Jennane, Rachid |
| Mots-clés: | Texture
Fractal analysis
Region of interest
Osteoarthritis |
| Date de publication: | 2015 |
| Collection/Numéro: | Image Processing Theory, Tools and Applications/ (2015) |
| Résumé: | This paper presents a preliminary study of the
influence of the positioning of Regions Of Interest (ROI) for the
characterization of bone texture on radiographs for the diagnosis
of knee OsteoArthritis (OA) progression. Characterization of the
bone texture is of great interest to doctors because it would
improve the prognostic in the clinical routine. In general, studies
mainly focus on the descriptors while neglecting the choice of ROI
positioning. Using fractal descriptors, the objective of this work
is to highlight the impact of the ROI for the diagnosis of knee
OA by considering the couple (descriptor, ROI). This study was
performed over 1054 knees from 616 subjects composed of stable
and progressor patients. Achieved statistical tests demonstrated
the importance of the choice of the ROI to improve the clinical
diagnosis |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/3030 |
| Collection(s) : | Communications Internationales
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