2018
DOI: 10.1088/1361-6560/aad106
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A comparative study of physical image quality in digital and synthetic mammography from commercially available mammography systems

Abstract: We present a comparison between full field digital mammography and synthetic mammography, performed on several mammography systems from four different manufacturers. The analysis is carried out on both the digital and synthetic images of two commercially available mammography phantoms, and focuses on a set of objective metrics that encode the geometrical appearance of imaging features of diagnostic interest. In particular, we measured sizes and contrasts of several clusters of microcalcification specks, shapes… Show more

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Cited by 12 publications
(24 citation statements)
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“…DBT has shown to improve detection of low contrast lesions (masses embedded in dense parenchyma) [8], while its contribution in the detection of microcalcification (MC) clusters is controversial [9][10][11][12][13]. The lack of lesion ground truth in case of clinical data renders quantitative image quality-based mammographic mode intercomparison a challenging task, while phantom studies can overcome this limitation [17][18][19][20][21][22][23][24][25][26][27], while criticised for lacking realism compared to clinical data.…”
Section: Extended Abstractmentioning
confidence: 99%
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“…DBT has shown to improve detection of low contrast lesions (masses embedded in dense parenchyma) [8], while its contribution in the detection of microcalcification (MC) clusters is controversial [9][10][11][12][13]. The lack of lesion ground truth in case of clinical data renders quantitative image quality-based mammographic mode intercomparison a challenging task, while phantom studies can overcome this limitation [17][18][19][20][21][22][23][24][25][26][27], while criticised for lacking realism compared to clinical data.…”
Section: Extended Abstractmentioning
confidence: 99%
“…Realistic background has been considered in quantitative image quality assessment studies [17,22,23,25], however, the analysed MC cluster objects consisted of a small number of MC particles (up to 6), further being of ideal spherical or cylindrical shape, and characterized by a non-realistic imaging appearance such as, size, shape, and spatial distribution of the individual particles. Thus, the quantitative image quality evaluation Finally, analysis of both uniform and non-uniform parts of the TORMAM phantom was repeated for an "upside-down" TORMAM test object setup to consider the influence of location of the MC clusters along the z-axis (distance from detector cover) on MC cluster SDNR.…”
Section: Extended Abstractmentioning
confidence: 99%
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