Fast microcalcification detection on digital breast tomosynthesis datasets

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

doi:10.1117/12.709987

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30 March 2007 Fast microcalcification detection on digital breast tomosynthesis datasets

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

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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.

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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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