DocumentCode
380102
Title
Quantitative evaluation of trabecular bone structure by calcaneus MR images texture analysis of healthy volunteers and osteoporotic subjects
Author
Herlidou, S. ; Idy-Peretti, I. ; Grebe, Reinhard ; Grados, F. ; Lecuyer, N. ; Fardellone, P.
Author_Institution
Lab. of Biophys. & Image Process., Univ. of Picardie Jules Verne, Amiens, France
Volume
3
fYear
2001
fDate
2001
Firstpage
2340
Abstract
The aim of this study is to evaluate, in vivo, the trabecular bone structure of the calcaneus of healthy volunteers and osteoporotic patients by texture analysis of MR images. Automated methods of texture analysis cover a wide range of techniques enabling quantitative analysis of grey level intensity and distribution within a region of interest (ROI). Texture analysis is not used very frequently since the interpretation of the large number of calculated parameters is difficult. We here apply multiparametric data analyses such as Correspondence Factorial Analysis (CFA) and Hierarchical Ascending Classification (HAC) to determine the relevant parameters to differentiate between two sets of images (healthy young volunteers and osteoporotic older patients).
Keywords
biomechanics; biomedical MRI; bone; geriatrics; image classification; image texture; medical image processing; orthopaedics; automated methods; calcaneus MR image texture analysis; correspondence factorial analysis; grey level intensity; healthy volunteers; healthy young volunteers; hierarchical ascending classification; in vivo evaluation; multiparametric data analyses; osteoporotic older patients; osteoporotic subjects; quantitative analysis; quantitative evaluation; region of interest; trabecular bone structure; Analysis of variance; Bone diseases; Cancellous bone; Foot; Image analysis; Image texture analysis; Magnetic analysis; Magnetic resonance imaging; Osteoporosis; Public healthcare;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1017246
Filename
1017246
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