Title :
Ultrasonic Liver Discrimination Using 2-D Phase Congruency
Author :
Guitao Cao ; Pengfei Shi ; Bing Hu
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ.
Abstract :
In this paper, we present an experiment to extract liver features using two-dimensional phase congruency, which is invariant to changes in intensity or contrast, to try to avoid the influence of machine settings. The effectiveness of our method was tested on three classes of liver images and shows the potential for physicians to quantify liver pathology in clinical diagnosis
Keywords :
biomedical ultrasonics; feature extraction; liver; medical image processing; 2-D phase congruency; clinical diagnosis; feature extraction; liver pathology; ultrasonic liver discrimination; Clinical diagnosis; Feature extraction; Filters; Image processing; Liver diseases; Pathology; Pattern recognition; Testing; Transfer functions; Ultrasonic imaging; Biomedical ultrasonics; image classification; liver; medical image processing; phase measurement; Adult; Aged; Algorithms; Artificial Intelligence; Discriminant Analysis; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Liver; Liver Cirrhosis; Male; Middle Aged; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.880907
