DocumentCode :
1213586
Title :
Characterization of architectural distortion in mammograms
Author :
Ayres, FÁabio J. ; Rangayvan, R.M.
Volume :
24
Issue :
1
fYear :
2005
Firstpage :
59
Lastpage :
67
Abstract :
The analysis of mammograms is a difficult task due to the subtle appearance of some lesions. Computer-aided diagnosis (CAD) have been shown to improve the sensitivity of detection of masses and calcifications; however, there is a need for dedicated methods to detect architectural distortion in the absence of a central mass. Improvement in the detection of architectural distortion may be expected to result in better prognosis for patients with early stages of breast cancer. By employing the concept of phase portraits, a method to characterize architectural distortion in mammograms using texture orientation fields is presented. The results obtained show that the proposed technique can achieve good discrimination between architectural distortion and other parenchymal patterns. Such a technique would be applicable, in a CAD system, to images that have cleared the stages of detection of calcifications and masses with no positive findings.
Keywords :
biological organs; cancer; image texture; mammography; medical image processing; architectural distortion; breast cancer; calcification detection; computer-aided diagnosis; lesions; mammograms; mass detection; parenchymal patterns; phase portraits; texture orientation fields; Breast cancer; Cancer detection; Ducts; Feature extraction; Image analysis; Image texture analysis; Lesions; Linear discriminant analysis; Pattern analysis; Phase distortion; Algorithms; Artifacts; Artificial Intelligence; Breast Neoplasms; Cluster Analysis; Humans; Imaging, Three-Dimensional; Information Storage and Retrieval; Mammography; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/MEMB.2005.1384102
Filename :
1384102
Link To Document :
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