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Proceedings Paper

Detection of convergence areas in digital breast tomosynthesis using a contrario modeling
Author(s): G. Palma; S. Muller; I. Bloch; R. Iordache
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Paper Abstract

We propose a new method to detect architectural distortions and spiculated masses in digital breast tomosynthesis volumes. To achieve this goal, an a contrario approach is used. In this approach, an event, corresponding to a minimal number of structures converging toward the same location, is defined such that its expectation of occurrence within a random image is very low. Occurrences of this event in real images are then detected and considered as possible lesion locations. During the last step, the number of false positives is reduced through classification using attributes computed on histograms of structure orientations. The approach was tested using the leave-one-out method on a database composed of 38 breasts (10 containing a lesion and 28 containing no lesion). A sensitivity of 0.8 at 1.68 false positives/breast was achieved.

Paper Details

Date Published: 3 March 2009
PDF: 8 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72600P (3 March 2009); doi: 10.1117/12.807547
Show Author Affiliations
G. Palma, GE Healthcare Europe (France)
TELECOM ParisTech (ENST), CNRS (France)
S. Muller, TELECOM ParisTech (ENST), CNRS (France)
I. Bloch, GE Healthcare Europe (France)
R. Iordache, TELECOM ParisTech (ENST), CNRS (France)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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