DocumentCode :
3083859
Title :
Osteoporosis Diagnosis Based on the Multifractal Spectrum Features of Micro-CT Images and C4.5 Decision Tree
Author :
Gao, Zhi ; Hong, Wenxue ; Xu, Yonghong ; Zhang, Tao ; Song, Zhijie ; Liu, Jian
Author_Institution :
Biomed. Eng. Dept., Yanshan Univ., Qinhuangdao, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
1043
Lastpage :
1047
Abstract :
In this work the multifractal spectrum features of micro-CT images were extracted and classified the features of multifractal spectrum using C4.5 decision trees which can help doctors to diagnose osteoporosis. Micro-computed tomography (micro-CT) allows for classical anatomical imaging well suited to the study of skeletal structures, and the multifractal spectrum can reflect the complex and self-similarity characteristic of structures. So we extracted the multifractal spectrum features of trabecular bone micro-CT images, and used C4.5 to classify. The results shown the proposed method has a higher accuracy, and this method adopted here could be a useful supplement to the clinical observations for osteoporosis diagnosis.
Keywords :
bone; computerised tomography; decision trees; diseases; feature extraction; image classification; patient diagnosis; C4.5 decision tree; anatomical imaging; microcomputed tomography; multifractal spectrum feature; osteoporosis diagnosis; self-similarity characteristic; skeletal structure; trabecular bone; Bones; Classification algorithms; Classification tree analysis; Fractals; Osteoporosis; Three dimensional displays; C4.5; Micro-CT; Osteoporosis; multifractal spectrum; trabecular bone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
Type :
conf
DOI :
10.1109/PCSPA.2010.257
Filename :
5635676
Link To Document :
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