Detection of convergence areas in digital breast tomosynthesis using a contrario modeling

G. Palma; S. Muller; I. Bloch; R. Iordache

doi:10.1117/12.807547

3 March 2009 Detection of convergence areas in digital breast tomosynthesis using a contrario modeling

G. Palma, S. Muller, I. Bloch, R. Iordache

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72600P (2009) https://doi.org/10.1117/12.807547
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

G. Palma, S. Muller, I. Bloch, and R. Iordache "Detection of convergence areas in digital breast tomosynthesis using a contrario modeling", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72600P (3 March 2009); https://doi.org/10.1117/12.807547

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