期刊
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
卷 -, 期 -, 页码 -出版社
SPRINGEROPEN
DOI: 10.1186/1687-6180-2013-172
关键词
Non-mass-enhancing lesions; Writhe number; Krawtchouk moments; Zernike velocity moments; Kinetics; Classification; Computer-aided diagnosis; Breast magnetic resonance imaging
资金
- NIH [5K25CA106799-05]
- NERC [pml010009] Funding Source: UKRI
- Natural Environment Research Council [pml010009] Funding Source: researchfish
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.
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