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Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems. | LitMetric

AI Article Synopsis

  • - This study compared two digital breast tomosynthesis (DBT) systems: a high-energy X-ray phase sensitive prototype and a commercial attenuation-based system, analyzing their effectiveness in detecting simulated tumors.
  • - The prototype used different acquisition techniques to enhance imaging quality, resulting in clearer visibility of simulated tumor margins compared to the conventional DBT system.
  • - Results showed that phase sensitive DBT offered better contrast, spatial resolution, and a higher contrast to noise ratio, making it more effective for tumor detection than the attenuation-based DBT.

Article Abstract

This study compared the detectability of simulated tumors using a high-energy X-ray inline phase sensitive digital breast tomosynthesis (DBT) prototype and a commercial attenuation-based DBT system. Each system imaged a 5-cm thick modular breast phantom with 50-50 adipose-glandular percentage density containing contrast-detail (CD) test objects to simulate different tumor sizes. A commercial DBT system acquired 15 projection views over 15 degrees (15d-15p) was used to acquire the attenuation-based projection views and to reconstruct the conventional DBT slices. Attenuation-based projection views were acquired at 32 kV, 46 mAs with a mean glandular dose (D) of 1.6 mGy. For acquiring phase sensitive projection views, the prototype utilized two acquisition geometries: 11 projection views were acquired over 15 degrees (15d-11p), and 17 projection views were acquired over 16 degrees (16d-17p) at 120 kV, 5.27 mAs with 1.51 mGy under the magnification (M) of 2. A phase retrieval algorithm based on the phase-attenuation duality (PAD) was applied to each projection view, and a modified Feldkamp-Davis-Kress (FDK) algorithm was used to reconstruct the phase sensitive DBT slices. Simulated tumor margins were rated as more conspicuous and better visualized for both phase sensitive acquisition geometries versus conventional DBT imaging. The CD curves confirmed the improvement in both contrast and spatial resolutions with the phase sensitive DBT imaging. The superiority of the phase sensitive DBT imaging was further endorsed by higher contrast to noise ratio (CNR) and figure-of-merit (FOM) values. The CNR improvements provided by the phase sensitive DBT prototype were sufficient to offset the noise reduction provided by the attenuation-based DBT imaging.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886025PMC
http://dx.doi.org/10.1016/j.ejmp.2018.02.012DOI Listing

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