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Proceedings Paper

Signal template generation from acquired mammographic images for the non-prewhitening model observer with eye-filter
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Paper Abstract

Model observers (MOs) are being investigated for image quality assessment in full-field digital mammography (FFDM). Signal templates for the non-prewhitening MO with eye filter (NPWE) were formed using acquired FFDM images. A signal template was generated from acquired images by averaging multiple exposures resulting in a low noise signal template. Noise elimination while preserving the signal was investigated and a methodology which results in a noise-free template is proposed. In order to deal with signal location uncertainty, template shifting was implemented. The procedure to generate the template was evaluated on images of an anthropomorphic breast phantom containing microcalcification-related signals. Optimal reduction of the background noise was achieved without changing the signal. Based on a validation study in simulated images, the difference (bias) in MO performance from the ground truth signal was calculated and found to be <1%. As template generation is a building stone of the entire image quality assessment framework, the proposed method to construct templates from acquired images facilitates the use of the NPWE MO in acquired images.

Paper Details

Date Published: 10 March 2017
PDF: 9 pages
Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 101360M (10 March 2017); doi: 10.1117/12.2254160
Show Author Affiliations
Christiana Balta, Radboud Univ. Medical Ctr. (Netherlands)
Ramona W. Bouwman, Radboud Univ. Medical Ctr. (Netherlands)
Ioannis Sechopoulos, Radboud Univ. Medical Ctr. (Netherlands)
Mireille J. M. Broeders, Radboud Univ. Medical Ctr. (Netherlands)
Nico Karssemeijer, Radboud Univ. Medical Ctr. (Netherlands)
Ruben E. van Engen, Radboud Univ. Medical Ctr. (Netherlands)
Wouter J. H. Veldkamp, Radboud Univ. Medical Ctr. (Netherlands)
Leiden Univ. Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 10136:
Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
Matthew A. Kupinski; Robert M. Nishikawa, Editor(s)

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