Comparing eDQE and eNEQ metrics – is there an alternative approach to assessing image quality in digital mammography?

• Autorzy: Wysocka-Rabin Anna , Dobrzyńska Magdalena , Pasicz Katarzyna , Skrzyński Witold , Fabiszewska Ewa

Identyfikatory

DOI

10.2478/pjmpe-2023-0018

• Języki publikacji: EN

Abstrakty

EN

Introduction: Early detection of breast cancer requires high-quality mammographic images that have been made possible by the introduction of new technologies, such as full-field digital mammography (FFDM). In this new study, we perform extended measurements to calculate effective detective quantum efficiency (eDQE) and introduce effective noise equivalent quanta (eNEQ). Our aim was to show how these two metrics relate to the image quality of two digital mammography systems. Material and methods: Measurements were performed for a Siemens Mammomat Inspiration and a GE Senographe Pristina system. Each was equipped with an automatic exposure control (AEC) for use in a clinical setting. We used a polymethyl methacrylate (PMMA) phantom at thicknesses of 20, 30, 40 and 70 mm to cover the range of scatter conditions expected in mammography, with and without an anti-scatter grid. The Siemens system had an a-Se detector, and the GE system had an indirect-conversion detector. Measurements of Kerma were performed with Piranha Black 657 meter (RTI Electronics AB). The majority of our calculations were automated, using a modified version of our software. Results: For the two mammographic systems evaluated, we characterized physical quality parameters, such as effective modulation transfer function (eMTF), effective normalized noise power spectrum (eNNPS), eDQE and eNEQ for a wide range of exposures, phantom thicknesses, with and without an anti-scatter grid. Results are presented as a function of spatial frequency. A contrast-detail analysis was performed with a CDMAM 3.4 phantom with dedicated software (CDMAM analysis 1.5.5, NCCPM) and a set of different PMMA phantoms. Conclusions: We successfully demonstrated that the eNEQ metric can be used as a new option to evaluate image quality for images taken with and without a grid and with phantoms of different thicknesses for the Siemens and GE systems. These results were consistent with the results obtained from CDMAM.

Słowa kluczowe

EN

image quality; digital mammography; effective detective quantum efficiency; effective noise equivalent quanta

• Wydawca: Polskie Towarzystwo Fizyki Medycznej ; De Gruyter
• Czasopismo: Polish Journal of Medical Physics and Engineering
• Rocznik: 2023
• Tom: Vol. 29, Iss. 3
• Strony: 165--177
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Wysocka-Rabin Anna

• Particle Acceleration Physics and Technology Division, National Centre for Nuclear Research (NCNR), Poland

• https://orcid.org/0000-0001-6810-0102

autor

Dobrzyńska Magdalena

• Particle Acceleration Physics and Technology Division, National Centre for Nuclear Research (NCNR), Poland

• https://orcid.org/0000-0003-1470-2639

autor

Pasicz Katarzyna

• Medical Physics Department, Maria Sklodowska-Curie National Research Institute of Oncology (MSCNRIO), Poland

• https://orcid.org/0000-0002-3607-0794

autor

Skrzyński Witold

• Medical Physics Department, Maria Sklodowska-Curie National Research Institute of Oncology (MSCNRIO), Poland

• https://orcid.org/0000-0002-4490-877X

autor

Fabiszewska Ewa

• Medical Physics Department, Maria Sklodowska-Curie National Research Institute of Oncology (MSCNRIO), Poland

• https://orcid.org/0000-0002-3655-7279

Bibliografia

• 1. https://profilaktykaraka.pib-nio.pl/kontrola-jakosci/, in Polish, access: May 2023
• 2. Wysocka-Rabin A, Dobrzyńska M, Pasicz K, Skrzyński W, Fabiszewska E. Determination of DQE as a quantitative assessment of detectors in digital mammography: Measurements and calculation in practice. Pol J Med Phys Eng. 2021;27(3):223-232. https://doi.org/10.2478/pjmpe-2021-0027
• 3. Dobrzyńska M, Wysocka-Rabin A, Fabiszewska E, Pasicz K, Skrzyński W. New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-2. J Dig Imag 2022;35(5):1069-1078. https://doi.org/10.1007/s10278-021-00546-y
• 4. Van Engen R, Young K, Bosmans H, Thijssen H. The European protocol for the quality control of the physical and technical aspect of mammography screening, Luxembourg. 2006
• 5. Young K, Johnson B, Bosmans H, Van Engen R. Development of minimum standards for image quality and dose in digital mammography. In: Proceedings of the 7th International Workshop on Digital Mammography, 2005, 149-154.
• 6. Young K, Alsager A, Oduko J, Bosmans H, et al. Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems. In: Medical Imaging 2008: Physics of Medical Imaging. Edited by Hsieh, Jiang; Samei, Ehsan. Proceedings of the SPIE, Volume 6913, article id. 69131C. https://doi.org/10.1117/12.770571
• 7. Cunningham, I. (2000) Applied Linear-Systems Theory. In: Van Metter RL, Beutel J, Kundel HR (Eds). Handbook of Medical Imaging, Volume 1. Physics and Psychophysics. Bellingham: Press SPIE, 79-159. https://doi.org/10.1117/3.832716.ch2
• 8. Samei E, Ranger N, MacKenzie A, Honey I, Dobbins J, Ravin C. Detector or System? Extending the Concept of Detective Quantum Efficiency to Characterize the Performance of Digital Radiographic Imaging Systems. Radiology. 2008;249(3):926-937. https://doi.org/10.1148/radiol.2492071734
• 9. Samei E, Ranger N, Mackenzie A, Honey I, Dobbins J, Ravin C. Effective DQE (eDQE) and speed of digital radiographic systems: An experimental methodology. Med Phys. 2009;36(8):3806-3817. https://doi.org/10.1118/1.3171690
• 10. Kyprianou I, Rudin S, Bednarek D, Hoffmann K. Study of the Generalized MTF and DQE for a New Microangiographic System. Proc SPIE Int Soc Opt Eng. 2004;5368:349-360. https://doi.org/10.1117/12.533512
• 11. Kyprianou I, Rudin S, Bednarek D, Hoffmann K. Generalizing the MTF and DQE to include x-ray scatter and focal spot unsharpness: Application to a new microangiographic system. Medical Physics. 2005;32(2):613-626. https://doi.org/10.1118/1.1844151
• 12. Bertolini M, Nitrosi A, Rivetti S, Lanconelli N, Pattacini P, Gonocchi V Iori M. A comparison of digital radiography systems in terms of effective detective quantum efficiency. Med Phys. 2021;39(5):2617-2627. https://doi.org/10.1118/1.4704500
• 13. Salvagnini E, Bosmans H, Struelens L, Marshall NW. Effective detective quantum efficiency (eDQE) and effective noise equivalent quanta (eNEQ) for system optimization purposes in digital mammography. Proc SPIE 8313, Medical Imaging: Physics of Medical Imaging. 2012;8313:83130H. https://doi.org/10.1117/12.911193
• 14. Salvagnini E, Bosmans H, Struelens L, Marshall NW. Effective detective quantum efficiency for two mammography systems: measurement and comparison against established metrics. Med Phys. 2013;40(1):101916. https://doi.org/10.1118/1.4820362
• 15. International Electrotechnical Commission. Medical electrical equipment - Characteristics of digital X-ray imaging devices - Part 1-2: Determination of the detective quantum efficiency - Detectors used in mammography. IEC 62220-1-2:2007.
• 16. Saunders RS, Samei E, Jesneck JL, Lo JY. Physical characterization of a prototype selenium-based full field digital mammography detector. Med Phys. 2005;32(2):588-599. https://doi.org/10.1118/1.1855033
• 17. Carton AK, Acciavatti R, Kuo J, Maidment ADA. The effect of scatter and glare on image quality in contrast-enhanced breast imaging using an a-Si/CsI(Tl) full-field flat panel detector. Med Phys. 2008;36(3):920-928. https://doi.org/10.1118/1.3077922
• 18. Siemens Healthcare GmbH. Online tool for the simulation of X-ray Spectra. https://www.oem-products.siemens-healthineers.com//x-ray-spectra-simulation. access: May 2023, https://bps.healthcare.siemens-healthineers.com/booneweb/index.html
• 19. Thomas JA, Chakrabarti K, Kaczmarek R, Romanyukha A. Contrast-detail phantom scoring methodology. Med Phys. 2005;32:807-814. https://doi.org/10.1118/1.1862097
• 20. European Commission. European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis. Fourth edition, supplements, 2013. https://data.europa.eu/doi/10.2772/13196
• 21. Rowlands J, Yorkston J. Flat Panel Detectors for Digital Radiography. In: Van Metter RL, Beutel J, Kundel HR (Eds). Handbook of Medical Imaging, Volume 1. Physics and Psychophysics. Bellingham: Press SPIE, 223-329. https://doi.org/10.1117/3.832716.ch4

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).