Breast Tumor Analysis in Dynamic Contrast Enhanced MRI Using Texture Features and Wavelet Transform
IEEE Journal of Selected Topics in Signal Processing(2009)
Abstract
Dynamic contrast enhanced MRI (DCE-MRI) is an emerging imaging protocol in locating, identifying and characterizing breast cancer. However, due to image artifacts in MR, pixel intensity alone cannot accurately characterize the tissue properties. We propose a robust method based on the temporal sequence of textural change and wavelet transform for pixel-by-pixel classification. We first segment the...
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Key words
Breast tumors,Magnetic resonance imaging,Wavelet analysis,Wavelet transforms,Discrete wavelet transforms,System testing,Image texture analysis,Protocols,Breast cancer,Pixel
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