Document Detail


Classification of trabecular bone texture from MRI and CT scan images by multi resolution analysis.
MedLine Citation:
PMID:  18003279     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although bone mineral density measurements constitute one of the main clinical indicators of osteoporosis, we know that bone fragility risk is also related to deteriorations of osseous architecture. Medical imaging constitutes one means to appreciate in vivo bone screen, what is particularly important in the follow up of the osteoporosis. This paper presents a method of bone textural MRI and CT scan classification, based on the use of multifractal analysis by the WTMM-2d method, we propose the choice of three features to realize these images classification: the Hölder exponents average at the peaks of Legendre spectrums, the wavelet transform skeletons density by pixel, and variance of directions of gradients. The preliminary results of 40 images directly resulting from two medical imaging (MRI and CT scan), prove to be interesting since 90% of cases are well estimated, and two classes instantaneous clustering of the results (one healthy patient class and one osteoporotic patient class) quite separate.
Authors:
Mohamed Khider; Abdelmalik Taleb-Ahmed; Patrick Dubois; Boualem Haddad
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2007     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-16     Completed Date:  2008-03-28     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  5589-92     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence*
Bone and Bones / pathology*,  radiography*
Cluster Analysis
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Osteoporosis / diagnosis*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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