Automated scoring of CDMAM: a dose study

Ruben Rico; Serge L. Muller; Guillaume Peter; Alain Noel; Joseph Stines

doi:10.1117/12.480362

22 May 2003 Automated scoring of CDMAM: a dose study

Ruben Rico, Serge L. Muller, Guillaume Peter, Alain Noel, Joseph Stines

Proceedings Volume 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment; (2003) https://doi.org/10.1117/12.480362
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Ruben Rico, Serge L. Muller, Guillaume Peter, Alain Noel, and Joseph Stines "Automated scoring of CDMAM: a dose study", Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); https://doi.org/10.1117/12.480362

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available