Correlations among acoustic, texture and morphological features for breast ultrasound CAD.
Acoustic, textural and morphological features of the breast in ultrasound imaging were extracted for computer-aided diagnosis. In addition, correlations among different categories of features were analyzed. Clinical data from 14 patients (7 malignant and 7 benign samples) were acquired. A custom-made experimental apparatus was used for simultaneous data acquisition of B-mode ultrasound and limited-angle tomography images. Textural features were extracted from B-mode images, including five parameters derived from the gray-level concurrence matrix and five parameters derived from a nonseparable wavelet transform. Morphological features were also extracted from B-mode images, including the depth-to-width ratio and normalized radial gradient. Acoustic features were estimated using limited-angle tomography, including the sound velocity and attenuation coefficient. Generally, the correlation coefficients for features within the textural feature group were relatively high (0.48-0.79), whereas those between different feature categories were relatively low (0.17-0.40). This suggests that combining different sets of features would improve the computer-aided diagnosis of breast cancer.
Yang
Hsin-Chia
HC
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Chang
Chen-Han
CH
Huang
Sheng-Wen
SW
Chou
Yi-Hong
YH
Li
Pai-Chi
PC
D001943:Breast Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D019277:Entropy; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D011187:Posture; D012372:ROC Curve; D011846:Radio Waves; D014159:Transducers; D016217:Ultrasonography, Mammary / Q000379:methods*