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Proceedings Paper

Visualization of suspicious lesions in breast MRI based on intelligent neural systems
Author(s): Thorsten Twellmann; Oliver Lange; Tim Wilhelm Nattkemper; Anke Meyer-Bäse
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Paper Abstract

Intelligent medical systems based on supervised and unsupervised artificial neural networks are applied to the automatic visualization and classification of suspicious lesions in breast MRI. These systems represent an important component of future sophisticated computer-aided diagnosis systems and enable the extraction of spatial and temporal features of dynamic MRI data stemming from patients with confirmed lesion diagnosis. By taking into account the heterogenity of the cancerous tissue, these techniques reveal the malignant, benign and normal kinetic signals and and provide a regional subclassification of pathological breast tissue. Intelligent medical systems are expected to have substantial implications in healthcare politics by contributing to the diagnosis of indeterminate breast lesions by non-invasive imaging.

Paper Details

Date Published: 9 May 2006
PDF: 11 pages
Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 62290K (9 May 2006); doi: 10.1117/12.668674
Show Author Affiliations
Thorsten Twellmann, Florida State Univ. (United States)
Bielefeld Univ. (Germany)
Oliver Lange, Florida State Univ. (United States)
Tim Wilhelm Nattkemper, Bielefeld Univ. (Germany)
Anke Meyer-Bäse, Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 6229:
Intelligent Computing: Theory and Applications IV
Kevin L. Priddy; Emre Ertin, Editor(s)

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