Feature extraction and classification of dynamic contrast-enhanced T2*-weighted breast image data.
IEEE Transactions on Medical Imaging(2001)
Abstract
The relatively low specificity of dynamic contrast-enhanced T1-weighted magnetic resonance imaging (MR) imaging of breast cancer has lead several groups to investigate different approaches to data acquisition, one of them being the use of rapid T2*-weighted imaging. Analyses of such data are difficult due to susceptibility artifacts and breathing motion. One-hundred-twenty-seven patients with brea...
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Key words
Feature extraction,Magnetic resonance imaging,Noise reduction,Testing,Noise robustness,Breast cancer,Data acquisition,Data analysis,Image motion analysis,Magnetic analysis
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