Robust breast composition measurement - Volpara™

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Abstract

Volumetric breast composition measurements generally require accurate imaging physics data. In this paper we describe a new method (Volpara™) that uses relative (as opposed to absolute) physics modeling together with additional information derived from the image to substantially reduce the dependence on imaging physics data. Results on 2,217 GE digital images, from a diversity of sites, show encouraging agreement with MRI data, as well as robustness to noise and errors in the imaging physics data. © 2010 Springer-Verlag.

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Highnam, R., Brady, M., Yaffe, M. J., Karssemeijer, N., & Harvey, J. (2010). Robust breast composition measurement - VolparaTM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6136 LNCS, pp. 342–349). https://doi.org/10.1007/978-3-642-13666-5_46

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