Automatic exposure control in digital mammography: Contrast-to-noise ratio versus average glandular dose

Gisella Gennaro, Paola Golinelli, Elena Bellan, Paola Colombo, Loredana D'Ercole, Anna Di Nallo, Lara Gallo, Carlo Giordano, Gabriele Meliadò, Barbara Morri, Elvina Nassivera, Nadia Oberhofer, Daniela Origgi, Massimiliano Paolucci, Nicoletta Paruccini, Michela Piergentili, Elisa Rizzi, Raffaella Rossi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Performance of Automatic Exposure control in several digital mammography systems (both CR and DR) were evaluated. The test procedure applied was that proposed by the European Guidelines, which requires measurement of contrast-to-noise ratio (CNR) produced by 0.2 mm Al superimposed on variable polymethyl-methacrylate (PMMA) thicknesses. PMMA layers were exposed by full automatic techniques and average glandular dose (AGD) determined. Results demonstrated that AGD values keep below the acceptable limits for all CR and DR systems at almost all equivalent breast thicknesses. CNR absolute values per each thickness can significantly vary, depending on characteristics of each type of equipment. The application of limits suggested by the European Guidelines for CNR variation with reference to 50 mm PMMA causes systematic failure for equivalent breast thickness above 50 mm; this may be due to the contradiction between the principles followed by the manufacturers to designed the AEC (signal constancy) and those proposed by the European protocol (CNR constancy).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages711-715
Number of pages5
Volume5116 LNCS
DOIs
Publication statusPublished - 2008
Event9th International Workshop on Digital Mammography, IWDM 2008 - Tucson, AZ, United States
Duration: Jul 20 2008Jul 23 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5116 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Workshop on Digital Mammography, IWDM 2008
CountryUnited States
CityTucson, AZ
Period7/20/087/23/08

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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  • Cite this

    Gennaro, G., Golinelli, P., Bellan, E., Colombo, P., D'Ercole, L., Di Nallo, A., Gallo, L., Giordano, C., Meliadò, G., Morri, B., Nassivera, E., Oberhofer, N., Origgi, D., Paolucci, M., Paruccini, N., Piergentili, M., Rizzi, E., & Rossi, R. (2008). Automatic exposure control in digital mammography: Contrast-to-noise ratio versus average glandular dose. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5116 LNCS, pp. 711-715). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5116 LNCS). https://doi.org/10.1007/978-3-540-70538-3_98