Literature DB >> 21701050

Image quality assessment in digital mammography: part II. NPWE as a validated alternative for contrast detail analysis.

P Monnin1, N W Marshall, H Bosmans, F O Bochud, F R Verdun.   

Abstract

Assessment of image quality for digital x-ray mammography systems used in European screening programs relies mainly on contrast-detail CDMAM phantom scoring and requires the acquisition and analysis of many images in order to reduce variability in threshold detectability. Part II of this study proposes an alternative method based on the detectability index (d') calculated for a non-prewhitened model observer with an eye filter (NPWE). The detectability index was calculated from the normalized noise power spectrum and image contrast, both measured from an image of a 5 cm poly(methyl methacrylate) phantom containing a 0.2 mm thick aluminium square, and the pre-sampling modulation transfer function. This was performed as a function of air kerma at the detector for 11 different digital mammography systems. These calculated d' values were compared against threshold gold thickness (T) results measured with the CDMAM test object and against derived theoretical relationships. A simple relationship was found between T and d', as a function of detector air kerma; a linear relationship was found between d' and contrast-to-noise ratio. The values of threshold thickness used to specify acceptable performance in the European Guidelines for 0.10 and 0.25 mm diameter discs were equivalent to threshold calculated detectability indices of 1.05 and 6.30, respectively. The NPWE method is a validated alternative to CDMAM scoring for use in the image quality specification, quality control and optimization of digital x-ray systems for screening mammography.

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Year:  2011        PMID: 21701050     DOI: 10.1088/0031-9155/56/14/003

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Implementation of a channelized Hotelling observer model to assess image quality of x-ray angiography systems.

Authors:  Christopher P Favazza; Kenneth A Fetterly; Nicholas J Hangiandreou; Shuai Leng; Beth A Schueler
Journal:  J Med Imaging (Bellingham)       Date:  2015-03-25

2.  Technical and clinical breast cancer screening performance indicators for computed radiography versus direct digital radiography.

Authors:  Hilde Bosmans; An De Hauwere; Kim Lemmens; Federica Zanca; Hubert Thierens; Chantal Van Ongeval; Koen Van Herck; Andre Van Steen; Patrick Martens; Luc Bleyen; Gretel Vande Putte; Eliane Kellen; Griet Mortier; Erik Van Limbergen
Journal:  Eur Radiol       Date:  2013-05-21       Impact factor: 5.315

3.  Task-Based Model Observer Assessment of A Partial Model-Based Iterative Reconstruction Algorithm in Thoracic Oncologic Multidetector CT.

Authors:  David C Rotzinger; Damien Racine; Catherine Beigelman-Aubry; Khalid M Alfudhili; Nathalie Keller; Pascal Monnin; Francis R Verdun; Fabio Becce
Journal:  Sci Rep       Date:  2018-12-07       Impact factor: 4.379

4.  Visual adaptation and the amplitude spectra of radiological images.

Authors:  Elysse Kompaniez-Dunigan; Craig K Abbey; John M Boone; Michael A Webster
Journal:  Cogn Res Princ Implic       Date:  2018-01-24
  4 in total

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