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Proceedings Paper

Comparison of model and human observer performance in FFDM, DBT, and synthetic mammography
Author(s): Lynda Ikejimba; Stephen J. Glick; Ehsan Samei; Joseph Y. Lo
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Paper Abstract

Reader studies are important in assessing breast imaging systems. The purpose of this work was to assess task-based performance of full field digital mammography (FFDM), digital breast tomosynthesis (DBT), and synthetic mammography (SM) using different phantom types, and to determine an accurate observer model for human readers.

Images were acquired on a Hologic Selenia Dimensions system with a uniform and anthropomorphic phantom. A contrast detail insert of small, low-contrast disks was created using an inkjet printer with iodine-doped ink and inserted in the phantoms. The disks varied in diameter from 210 to 630 μm, and in contrast from 1.1% contrast to 2.2% in regular increments. Human and model observers performed a 4-alternative forced choice experiment. The models were a non-prewhitening matched filter with eye model (NPWE) and a channelized Hotelling observer with either Gabor channels (Gabor-CHO) or Laguerre-Gauss channels (LG-CHO).

With the given phantoms, reader scores were higher in FFDM and DBT than SM. The structure in the phantom background had a bigger impact on outcome for DBT than for FFDM or SM. All three model observers showed good correlation with humans in the uniform background, with ρ between 0.89 and 0.93. However, in the structured background, only the CHOs had high correlation, with ρ=0.92 for Gabor-CHO, 0.90 for LG-CHO, and 0.77 for NPWE.

Because results of any analysis can depend on the phantom structure, conclusions of modality performance may need to be taken in the context of an appropriate model observer and a realistic phantom.

Paper Details

Date Published: 22 March 2016
PDF: 10 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978325 (22 March 2016); doi: 10.1117/12.2216858
Show Author Affiliations
Lynda Ikejimba, Carl E. Ravin Advanced Imaging Labs. (United States)
Duke Univ. (United States)
U.S. Food and Drug Administration (United States)
Stephen J. Glick, U.S. Food and Drug Administration (United States)
Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (United States)
Duke Univ. (United States)
Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs. (United States)
Duke Univ. (United States)

Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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