19 May 2011 Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
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Abstract
Motion-based artifacts lead in breast MRI to diagnostic misinterpretation and therefore represents an important prerequisite to automatic lesion detection and diagnosis. In the present paper, we evaluate the performance of a computer-aided diagnosis (CAD) system consisting of motion correction, lesion segmentation, feature extraction and classification. Many novel feature extraction techniques are proposed and tested in conjunction with motion correction and classification. Our simulation results have shown that motion compensation combined with Minkowsi functionals and Bayesian classifier can improve the lesion detection and classification.
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Felix Retter, Felix Retter, Claudia Plant, Claudia Plant, Bernhard Burgeth, Bernhard Burgeth, Thomas Schlossbauer, Thomas Schlossbauer, Anke Meyer-Bäse, Anke Meyer-Bäse, } "Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics", Proc. SPIE 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V, 80590J (19 May 2011); doi: 10.1117/12.884625; https://doi.org/10.1117/12.884625
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