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Proceedings Paper

Automated scoring of CDMAM: a dose study
Author(s): Ruben Rico; Serge L. Muller; Guillaume Peter; Alain Noel; Joseph Stines
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Paper Abstract

Digital mammography detectors have a large linear dynamic range that allows dose optimization. CD-MAM phantom is widely used in image quality assessment on mammography systems. Currently human readers score the phantom, which is time-consuming and leads to intra and inter observer variability. We discuss the design and validation of an algorithm based on the Non-Prewhitening Matched Filter observer that intends to replace human observers in the task of CDMAM 3.4 phantom scoring. Correlation between both observers has been evaluated through a dose study. Correlation has been established between scores obtained by both observers. The algorithm presents a higher sensitivity and a better discrimination power to dose variations, which makes automated scoring of CDMAM phantom a potential tool, free of observer variability, for quality control in screening mammography.

Paper Details

Date Published: 22 May 2003
PDF: 10 pages
Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); doi: 10.1117/12.480362
Show Author Affiliations
Ruben Rico, GE Medical Systems (France)
Serge L. Muller, GE Medical Systems (France)
Guillaume Peter, GE Medical Systems (France)
Alain Noel, Ctr. Alexis Vautrin (France)
Joseph Stines, Ctr. Alexis Vautrin (France)

Published in SPIE Proceedings Vol. 5034:
Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Elizabeth A. Krupinski, Editor(s)

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