Fast microcalcification detection on digital breast tomosynthesis datasets

S. Bernard; S. Muller; G. Peters; R. Iordache

doi:10.1117/12.709987

30 March 2007 Fast microcalcification detection on digital breast tomosynthesis datasets

S. Bernard, S. Muller, G. Peters, R. Iordache

Author Affiliations +

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65141X (2007) https://doi.org/10.1117/12.709987
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

In this paper, we present a fast method for microcalcification detection in Digital Breast Tomosynthesis. Instead of applying the straight-forward reconstruction/filtering/thresholding approach, the filtering is performed on projections before simple back-projection reconstruction. This leads to a reduced computation time since the number of projections is generally much smaller than the number of slices. For an average breast thickness and a typical number of projections, the number of operations is reduced by a factor in the range of 2 to 4. At the same time, the approach yields a negligible decrease of the contrast to noise ratio in the reconstructed slices. Image segmentation results are presented and compared to the previous method as visual performance assessment.

Citation Download Citation

S. Bernard, S. Muller, G. Peters, and R. Iordache "Fast microcalcification detection on digital breast tomosynthesis datasets", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141X (30 March 2007); https://doi.org/10.1117/12.709987

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