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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

Hoffmann, Sebastian, Shulter, Jamie, Lobbes, Marc, Burgeth, Bernhard and Meyer-Bäse, Anke (2013) Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique. EURASIP Journal on Advances in Signal Processing 2013, p. 172.

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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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Item type:Article
Date:2013
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Open Access Publizieren (DFG)
Identification Number:
ValueType
10.1186/1687-6180-2013-172DOI
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:29506
Owner only: item control page

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