Threshold target thickness calculated using a model observer as a quality control metric for digital mammography

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Task-based measures estimated by model observers may provide a more clinically relevant and objective way of assessing image quality and system performance for quality control of digital mammography. One approach is to calculate the required threshold thickness (tt) of a material necessary to render test objects just visible, using the detectability index (d') calculated from measured system parameters and a non-prewhitening observer model incorporating an eye-filter and internal noise (NPWE). Our previous work developed methodology for simply measuring the parameters required to calculate d' and tt using a NPWE model. Here we test the sensitivity of t t to changes in image quality by varying entrance exposure and by imaging with and without a grid. Calculated tt values are compared with those reported by automated analysis of CDMAM (™) phantom images (CDCOM). Sensitivity to dose changes was seen, and good correlation was achieved between CDCOM and our model. © 2014 Springer International Publishing.

Cite

CITATION STYLE

APA

Bloomquist, A. K., Mainprize, J. G., Hill, M., & Yaffe, M. J. (2014). Threshold target thickness calculated using a model observer as a quality control metric for digital mammography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8539 LNCS, pp. 225–230). Springer Verlag. https://doi.org/10.1007/978-3-319-07887-8_32

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free