DocumentCode :
671913
Title :
Masking procedures and measures of angular similarity for detection of bilateral asymmetry in mammograms
Author :
Casti, Paola ; Mencattini, Arianna ; Salmeri, Marcello ; Rangayyan, Rangaraj M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
fYear :
2013
fDate :
21-23 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
We propose a method to analyze bilateral asymmetry in mammograms based upon systematic comparison of paired mammographic strips of the right and left breasts of a patient. Similarity between corresponding directional structures was quantified by applying measures of similarity to the masked strips. A novel application of Moran´s index was designed to measure the angular covariance between rose diagrams related to the phase and magnitude responses of multidirectional Gabor filters. A set of 128 mammograms from the DDSM database, including 32 normal and 32 asymmetric pairs, was used to validate the procedure. The leave-one-patient-out method was used for cross-validation of the results. The best result, with an area under the receiver operating characteristic curve of 0.8435, was achieved using similarity measures on craniocaudal views and Fisher-linear discriminant analysis. The results indicate that the proposed techniques can be applied for computer-aided detection of bilateral asymmetry.
Keywords :
Gabor filters; biological organs; cancer; diagnostic radiography; image classification; image segmentation; medical image processing; DDSM database; Fisher-linear discriminant analysis; Moran index; angular similarity measurement; bilateral asymmetry detection; breasts; computer-aided detection; craniocaudal views; directional structures; leave-one-patient-out method; mammographic strips; masked strips; masking procedures; multidirectional Gabor filters; phase magnitude responses; receiver operating characteristic curve; rose diagrams; Accuracy; Breast cancer; Educational institutions; Indexes; Strips; Moran´s index; bilateral asymmetry; breast cancer; computer-aided detection; masking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2013
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-2372-4
Type :
conf
DOI :
10.1109/EHB.2013.6707258
Filename :
6707258
Link To Document :
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