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Original paper| Volume 30, ISSUE 4, P482-488, June 2014

Optimal photon energy comparison between digital breast tomosynthesis and mammography: A case study

Published:March 07, 2014DOI:https://doi.org/10.1016/j.ejmp.2014.02.001

      Abstract

      A comparison, in terms of the optimal energy that maximizes the image quality between digital breast tomosynthesis (DBT) and digital mammography (DM) was performed in a MAMMOMAT Inspiration system (Siemens) based on amorphous selenium flat panel detector. In this paper we measured the image quality by the signal difference-to-noise ratio (SDNR), and the patient risk by the mean glandular dose (MGD). Using these quantities we compared the optimal voltage that maximizes the image quality both in breast tomosynthesis and standard mammography acquisition mode. The comparison for the two acquisition modes was performed for a W/Rh anode filter combinations by using a 4.5 cm tissue equivalent mammography phantom. Moreover, in order to check if the used equipment was quantum noise limited, the relation of the relative noise with respect to the detector dose was evaluated. Results showed that in the tomosynthesis acquisition mode the optimal voltage is 28 kV, whereas in standard mammography the optimal voltage is 30 kV. The automatic exposure control (AEC) of the system selects 28 kV as optimal voltage both for DBT and DM. Monte Carlo simulations showed a qualitative agreement with the AEC selection system, since an optimal monochromatic energy of 20 keV was found both for DBT and DM. Moreover, the check about the noise showed that the system is not completely quantum noise limited, and this issue could explain the experimental slight difference in terms of optimal voltage between DBT and DM. According to these results, the use of higher voltage settings is not justified for the improvement of the image quality during a DBT examination.

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      References

        • Andersson I.
        • Ikeda D.M.
        • Zackrisson S.
        • Ruschin M.
        • Svahn T.
        • Timberg P.
        • et al.
        Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings.
        Eur Radiol. 2008; 18: 2817-2825
        • Feng S.S.J.
        • Sechopoulos I.
        Clinical digital breast tomosynthesis system: dosimetric characterization.
        Radiology. 2012; 263: 35-42
        • Bernhardt P.
        • Mertelmeier T.
        • Hoheisel M.
        X-ray spectrum optimization of full-field digital mammography: simulation and phantom study.
        Med Phys. 2006; 33: 4337-4349
      1. Tissue simulation and phantom technology. 2014 ([accessed 15.01.14])
        • Dance D.R.
        • Thilander Klang A.
        • Sandborg M.
        • Skunner C.L.
        • Castellano Smith I.A.
        • Alm Carlsson G.
        Influence of anode/filter material and tube potential on contrast, signal-to-noise ratio and average absorbed dose in mammography: a Monte Carlo study.
        Br J Radiol. 2000; 73: 1056-1067
      2. TLD material specification. THERMO SCIENTIFIC web site. http://thermoscientific.com.

        • Williams M.B.
        • Raghunathan P.
        • More M.J.
        • Seibert J.A.
        • Kwan A.
        • Lo J.Y.
        • et al.
        Optimization of exposure parameters in full field digital mammography.
        Med Phys. 2008; 36: 2414-2423
        • Sakellaris T.
        • Koutalonis M.
        • Spyrou G.
        • Pascoal A.
        A Monte Carlo study of the influence of focal spot size, intensity distribution, breast thickness and magnification on spatial resolution of an a-Se digital mammography system using the generalized MTF.
        Phys Med Eur J Med Phys. 2014; 30: 286-295
        • Pelowwitz D.B.
        MCNPX user's manual version 2.7.0.
        Los Alamos National Security, 2011
        • DiMaria S.
        • Oliva P.
        • Bottigli U.
        • Carpinelli M.
        • Golosio B.
        Image quality simulation in X-ray mammography.
        Il Nuovo Cimento B. 2009; 124: 205-222
        • Bouwman R.
        • Young K.
        • Lazzari B.
        • Ravaglia V.
        • Broeders M.
        • Van Engen R.
        An alternative method for noise analysis using pixel variance as part of quality control procedures on digital mammography systems.
        Phys Med Biol. 2009; 54: 6809-6822
      3. http://https://w9.siemens.com [accessed January 2014].

      4. Taibi A. Personal communication; 2014.

        • Chen L.
        • Abbey C.K.
        • Nosrateih A.
        • Lindfors K.K.
        Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies.
        Med Phys. March 2012; 39