Texture image analysis for osteoporosis detection with morphological tools

13Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Osteoporosis is due to the following two phenomena: a reduction bone mass and a degradation of the microarchitecture of bone tissue. In this paper, we propose a method for extracting morphological information enabling the description of bone structure from radiological images of the calcaneus. Our main contribution relies on the fact that we provide bone descriptors close to classical 3D-morphological bone parameters. The first step of the proposed method consists in extracting the grey-scale skeleton of the microstructures contained in the underlying images. After an appropriate processing, the resulting skeleton provides discriminant features between osteoporotic patients and control patients. Statistical tests corroborate this discrimination property. © Springer-Verlag Berlin Heidelberg 2004.

Cite

CITATION STYLE

APA

Sevestre-Ghalila, S., Benazza-Benyahia, A., Ricordeau, A., Mellouli, N., Chappard, C., & Benhamou, C. L. (2004). Texture image analysis for osteoporosis detection with morphological tools. In Lecture Notes in Computer Science (Vol. 3216, pp. 87–94). Springer Verlag. https://doi.org/10.1007/978-3-540-30135-6_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free