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Proceedings Paper

Automatic segmentation of relevant structures in DCE MR mammograms
Author(s): Matthias Koenig; Hendrik Laue; Tobias Boehler; Heinz-Otto Peitgen
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Paper Abstract

The automatic segmentation of relevant structures such as skin edge, chest wall, or nipple in dynamic contrast enhanced MR imaging (DCE MRI) of the breast provides additional information for computer aided diagnosis (CAD) systems. Automatic reporting using BI-RADS criteria benefits of information about location of those structures. Lesion positions can be automatically described relatively to such reference structures for reporting purposes. Furthermore, this information can assist data reduction for computation expensive preprocessing such as registration, or for visualization of only the segments of current interest. In this paper, a novel automatic method for determining the air-breast boundary resp. skin edge, for approximation of the chest wall, and locating of the nipples is presented. The method consists of several steps which are built on top of each other. Automatic threshold computation leads to the air-breast boundary which is then analyzed to determine the location of the nipple. Finally, results of both steps are starting point for approximation of the chest wall. The proposed process was evaluated on a large data set of DCE MRI recorded by T1 sequences and yielded reasonable results in all cases.

Paper Details

Date Published: 30 March 2007
PDF: 6 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141S (30 March 2007); doi: 10.1117/12.708558
Show Author Affiliations
Matthias Koenig, MeVis Research (Germany)
Hendrik Laue, MeVis Research (Germany)
Tobias Boehler, MeVis Research (Germany)
Heinz-Otto Peitgen, MeVis Research (Germany)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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