Paper Info
Title
Breast component adaptive wavelet enhancement for soft-copy display of mammograms
Abstract
A method that performs multiresolution enhancement, adaptive to breast components, for optimal visualization of the entire breast area is presented. The method includes an edge detection step to distinguish breast area from mammogram background and employs Gaussian mixture modeling to segment breast components (uncompressed fat, fat and dense). The original image is decomposed using a redundant discrete wavelet transform and magnitude coefficients corresponding to each breast component are linearly mapped for contrast enhancement. Coefficient mapping is controlled by a gain factor provided by the parameters of the modeled breast components. The processed image is derived by reconstruction of the modified wavelet coefficients. The algorithm is compared with two enhancement methods proposed for soft-copy display, in a dataset of 68 mammograms containing lesions. The proposed method demonstrates increased performance in accentuating lesions embedded in fatty or dense parenchyma, as well as in visualization of anatomical features in the entire breast area.
Year
DOI
Venue
2006
10.1007/11783237_74
Digital Mammography / IWDM
Keywords
Field
DocType
modified wavelet coefficient,breast area,dense parenchyma,segment breast component,entire breast area,soft-copy display,breast component adaptive wavelet,multiresolution enhancement,enhancement method,breast component,contrast enhancement,gaussian mixture model,edge detection,discrete wavelet transform
Computer vision,Mixture modeling,Edge detection,Gain factor,Visualization,Gaussian,Discrete wavelet transform,Artificial intelligence,Mathematics,Wavelet,Uncompressed video
Conference
Volume
ISSN
ISBN
4046
0302-9743
3-540-35625-8
Citations 
PageRank 
References 
3
0.48
5
Authors
5
Name
Order
Citations
PageRank
Spyros Skiadopoulos1495.29
Anna Karahaliou2515.07
Filippos Sakellaropoulos3382.92
George Panayiotakis4708.74
L Costaridou518415.63