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Hoffmann, S, Shutler, J, Lobbes, M, Burgeth, B and Meyer-Bäse, A 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 (1). 172. https://doi.org/10.1186/1687-6180-2013-172
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Hoffmann et al Eurasip J on Advances in Signal Processing 2013.pdf - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract/Summary
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, remain both qualitatively as well as quantitatively difficult to analyze. Thus, the evaluation of kinetic and/or morphological characteristics of non-masses represents a challenging task for an automated analysis and is of crucial importance for advancing current computer-aided diagnosis (CAD) systems. Compared to the well-characterized mass-enhancing lesions, non-masses have no well-defined and blurred tumor borders and a kinetic behavior that is not easily generalizable and thus discriminative for malignant and benign non-masses. To overcome these difficulties and pave the way for novel CAD systems for non-masses, we will evaluate several kinetic and morphological descriptors separately and a novel technique, the Zernike velocity moments, to capture the joint spatio-temporal behavior of these lesions, and additionally consider the impact of non-rigid motion compensation on a correct diagnosis.
| Item Type: | Publication - Article |
|---|---|
| Subjects: | Technology |
| Divisions: | Plymouth Marine Laboratory > National Capability categories > Added Value |
| Depositing User: | Mrs Julia Crocker |
| Date made live: | 19 Feb 2014 14:15 |
| Last Modified: | 01 Nov 2018 12:12 |
| URI: | https://plymsea.ac.uk/id/eprint/5529 |
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