%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2008/07.28.03.11
%2 sid.inpe.br/sibgrapi@80/2008/07.28.03.11.44
%@doi 10.1109/SIBGRAPI.2008.10
%T Can bilateral asymmetry analysis of breast MR images provide additional information for detection of breast diseases?
%D 2008
%A Ferrari, Ricardo J.,
%A Hill, Kimberley A.,
%A Plewes, Donald B.,
%A Martel, Anne L.,
%@affiliation University Health Network - University of Toronto, Toronto, ON, Canada
%@affiliation Division of Medical Oncology, Department of Medicine, Toronto, ON, Canada
%@affiliation Imaging Research, Sunnybrook Health Sciences Centre / Department of Biophysics, Toronto, ON, Canada
%@affiliation Imaging Research, Sunnybrook Health Sciences Centre / Department of Biophysics, Toronto, ON, Canada
%E Jung, Cláudio Rosito,
%E Walter, Marcelo,
%B Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
%C Campo Grande, MS, Brazil
%8 12-15 Oct. 2008
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K breast cancer, breast MRI, Phase Congruency, log-Gabor.
%X This paper presents a new method for bilateral asym- metry analysis of breast MR images that uses directional statistics of the breast parenchymal edges, obtained from a multiresolution local energy edge detector, and image texture information derived from local energy maps, ob- tained by using a bank of log-Gabor filters. Classification of MRI scans into cancer and non-cancer categories was per- formed by linear discriminant analysis and the leave-one- out methodology. A total of 40 cases, 20 normal/benign (BI-RADS 1 and 2) and 20 malignant, taken from a high risk screening population, were used in this pilot study. Av- erage classification accuracy of 70% (κ = 0.45 ± 0.14) with sensitivity and specificity of 75% and 65%, respec- tively, was achieved. The results obtained support the idea that bilateral asymmetry analysis of breast MR images can provide additional information for detection of breast tissue changes arising from diseases.
%@language en
%3 ferrari-BilateralAsymmetry.pdf