Robust Breast Composition Measurement - VolparaTM View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Ralph Highnam , Michael Brady , Martin J. Yaffe , Nico Karssemeijer , Jennifer Harvey

ABSTRACT

Volumetric breast composition measurements generally require accurate imaging physics data. In this paper we describe a new method (VolparaTM) 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. More... »

PAGES

342-349

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-13666-5_46

DOI

http://dx.doi.org/10.1007/978-3-642-13666-5_46

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043583356


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