Automated analysis of single and joint kinetic and morphologic features for non-masses

Sebastian Hoffmann; Jamie Shutler; Marc Lobbes; Bernhard Burgeth; Anke Meyer-Bäse

doi:10.1117/12.921920

10 May 2012 Automated analysis of single and joint kinetic and morphologic features for non-masses

Sebastian Hoffmann, Jamie Shutler, Marc Lobbes, Bernhard Burgeth, Anke Meyer-Bäse

Proceedings Volume 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X; 840110 (2012) https://doi.org/10.1117/12.921920
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

The evaluation of kinetic and/or morphologic 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 not well-dened 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 diculties and pave the way for novel CAD systems for non-masses, we will evaluate several kinetic and morphologic descriptors separately, and a novel technique, the Zernike velocity moments, to capture the joint spatio-temporal behavior of these lesions. We additionally consider the impact of non-rigid motion compensation on a correct diagnosis.

Citation Download Citation

Sebastian Hoffmann, Jamie Shutler, Marc Lobbes, Bernhard Burgeth, and Anke Meyer-Bäse "Automated analysis of single and joint kinetic and morphologic features for non-masses", Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 840110 (10 May 2012); https://doi.org/10.1117/12.921920

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