Feature extraction and classification of dynamic contrast-enhanced T2*-weighted breast image data.

G Torheim,F Godtliebsen,D Axelson,K A Kvistad,O Haraldseth,P A Rinck

IEEE Transactions on Medical Imaging（2001）

Cited 33|Views9

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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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