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Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique

URN to cite this document:
urn:nbn:de:bvb:355-epub-295064
Hoffmann, Sebastian ; Shulter, Jamie ; Lobbes, Marc ; Burgeth, Bernhard ; Meyer-Bäse, Anke
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Date of publication of this fulltext: 12 Feb 2014 10:02


Abstract

Abstract Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) represents an established method for the detection and diagnosis of breast lesions. While mass-like enhancing lesions can be easily categorized according to the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon, a majority of diagnostically challenging lesions, the so called non-mass-like enhancing lesions, ...

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