29 May 2013 Automated analysis of spatio-temporal features for non-masses
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Abstract
Non-mass enhancing lesions represent one of the most challenging types of lesions when it comes to both manual and computer-assisted diagnosis. Compared to the well-characterized mass-enhancing lesions, non-masses have not well-defined and blurred tumor borders and a kinetic behavior that is not easily generalizable and thus non-discriminative for malignant and benign non-masses. A valuable feature descriptor should capture the heterogeneity of enhancement as well as the speed of enhancement in the tissue. We apply and evaluate both textural and spatio-temporal descriptors to the pertinent feature extraction of these lesions. An automated computer-aided diagnosis system evaluates the atypical behavior of these lesions, and additionally considers the impact of non-rigid motion compensation on a correct diagnosis.
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Sebastian Hoffmann, Sebastian Hoffmann, Marc Lobbes, Marc Lobbes, Bernhard Burgeth, Bernhard Burgeth, Anke Meyer-Bäse, Anke Meyer-Bäse, } "Automated analysis of spatio-temporal features for non-masses", Proc. SPIE 8750, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI, 875009 (29 May 2013); doi: 10.1117/12.2019935; https://doi.org/10.1117/12.2019935
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