Title
Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images.
Abstract
This paper describes a computer-aided diagnosis (CAD) method to classify diffuse lung diseases (DLD) patterns on HRCT images. Due to the high variety and complexity of DLD patterns, the performance of conventional methods on recognizing DLD patterns featured by geometrical information is limited. In this paper, we introduced a sparse representation based method to classify normal tissues and five types of DLD patterns including consolidation, ground-glass opacity, honeycombing, emphysema and nodular. Both CT values and eigenvalues of Hessian matrices were adopted to calculate local features. The 2360 VOIs from 117 subjects were separated into two independent set. One set was used to optimize parameters, and the other set was adopted to evaluation. The proposed technique has a overall accuracy of 95.4%. Experimental results show that our method would be useful to classify DLD patterns on HRCT images.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610784
EMBC
Keywords
Field
DocType
ground-glass opacity,sparse representation based method,dld patterns,diffuse lung disease pattern classification,image representation,eigenvalues,emphysema pattern,computerised tomography,hrct images,diseases,voi,consolidation pattern,sparse matrices,cad method,lung,hessian matrices,image recognition,image classification,honeycombing pattern,dld pattern recognition,biological tissues,computer-aided diagnosis method,eigenvalues and eigenfunctions,high-resolution computed tomography,geometrical information,nodular pattern,medical image processing,feature extraction,dictionaries,computed tomography,pattern recognition
CAD,Computer vision,Computer science,Honeycombing,Sparse approximation,Image representation,Hessian matrix,Independent set,Artificial intelligence,Contextual image classification,Sparse matrix
Conference
Volume
ISSN
Citations 
2013
1557-170X
5
PageRank 
References 
Authors
0.66
7
5
Name
Order
Citations
PageRank
Wei Zhao150.66
Rui Xu2234.30
Yasushi Hirano350.66
Rie Tachibana4418.85
Shoji Kido55316.61