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Proceedings Paper

CAD-system based on kinetic analysis for non-mass-enhancing lesions in DCE-MRI
Author(s): Sebastian Goebl; Claudia Plant; Marc Lobbes; Anke Meyer-Bäse
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Paper Abstract

Non-mass enhancing lesions represent one of the most challenging types of lesions for both the clinician as well as current computer-aided diagnosis (CAD) systems. Differently from the well-studied mass-enhancing tumors these lesions do not exhibit a typical kinetic behavior that can be further easily categorized into benign or malignant based on feature descriptors. Furthermore, the poorly defined tumor borders pose a difficulty to even the most sophisticated segmentation algorithms. To address these challenges in terms of segmentation and atypical contrast enhancement dynamics, we apply an ICA-based segmentation on these lesions and extract from the average signal intensity curve of the most representative independent component (IC). Subsequently the dynamics of this IC is modeled based on mathematical models such as the empirical mathematical model and the phenomenological universalities. An automated computer-aided diagnosis system evaluates the atypical behavior of these lesions, and additionally compares the benefit of ICA-segmentation versus active contour segmentation.

Paper Details

Date Published: 29 May 2013
PDF: 8 pages
Proc. SPIE 8750, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI, 87500R (29 May 2013); doi: 10.1117/12.2019276
Show Author Affiliations
Sebastian Goebl, Ludwig-Maximilians-Univ. München (Germany)
Claudia Plant, Technische Univ. München (Germany)
Marc Lobbes, Maastricht Univ. Medical Ctr. (Netherlands)
Anke Meyer-Bäse, The Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 8750:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
Harold H. Szu, Editor(s)

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