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

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

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 difficu...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE Transactions on medical imaging 20, 12 (2001).
1. Verfasser: Torheim, G.
Format: Artikel
Sprache:English
Schlagworte:
Breathing motion.
Dynamic contrast-enhanced T2*-weighted breast image data.
Image feature extraction.
Magnetic resonance imaging.
Malignancy indication.
Medical diagnostic imaging.
Minimum enhancement.
Noise reduction.
Pixel-based analysis methods.
Pixel-by-pixel analysis.
Susceptibility artifacts.