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Proceedings Paper

Automated analysis of single and joint kinetic and morphologic features for non-masses
Author(s): Sebastian Hoffmann; Jamie Shutler; Marc Lobbes; Bernhard Burgeth; Anke Meyer-Bäse
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Paper 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.

Paper Details

Date Published: 10 May 2012
PDF: 12 pages
Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 840110 (10 May 2012); doi: 10.1117/12.921920
Show Author Affiliations
Sebastian Hoffmann, Saarland Univ. (Germany)
Jamie Shutler, Plymouth Marine Lab. (United Kingdom)
Marc Lobbes, Maastricht Univ. (Netherlands)
Bernhard Burgeth, Saarland Univ. (Germany)
Anke Meyer-Bäse, The Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 8401:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
Harold Szu, Editor(s)

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