Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics

Felix Retter; Claudia Plant; Bernhard Burgeth; Thomas Schlossbauer; Anke Meyer-Bäse

doi:10.1117/12.884625

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

Felix Retter, Claudia Plant, Bernhard Burgeth, Thomas Schlossbauer, Anke Meyer-Bäse

Author Affiliations +

Proceedings Volume 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V; 80590J (2011) https://doi.org/10.1117/12.884625
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Felix Retter, Claudia Plant, Bernhard Burgeth, Thomas Schlossbauer, and 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); https://doi.org/10.1117/12.884625

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