Paper
9 March 2018 Feasibility study of contrast enhanced digital mammography based on photon-counting detector by projection-based weighting technique: a simulation study
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Abstract
Contrast enhanced digital mammography (CEDM) using dual energy technique has been studied due to its ability of emphasizing breast cancer. However, when using CEDM the patient dose and the toxicity of iodine should be considered. A photon counting detector (PCD), which has the ability of energy discrimination, has been regarded as an alternative technique to resolve the problem of excessive patient dose. The purpose of this study was to confirm the feasibility of CEDM based on the PCD by using a projection-based energy weighting technique. We used Geant4 Application for Tomographic Emission (GATE) version 6.0. We simulated two different types of PCD which were constructed with silicon (Si) and cadmium zinc telluride (CZT). Each inner cylinder filled with four iodine with different low concentrations and thicknesses in cylindrical shape of breast phantom. For comparison, we acquired a convention integrating mode image and five bin images based on PCD system by projection-based weighting technique. The results demonstrated that CEDM based on the PCD significantly improved contrast to noise ratio (CNR) compared to conventional integrating mode. As a result of applying the dual energy technique to the projection-based weighing image, the CNR of low concentration iodine was improved. In conclusion, the CEDM based on PCD with projection-based weighting technique has improved a detection capability of low concentration iodine than integrating mode.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minjae Lee, Donghoon Lee, Byungdu Jo, Hyemi Kim, Dohyeon Kim, Seungyeon Choi, and Hee-Joung Kim "Feasibility study of contrast enhanced digital mammography based on photon-counting detector by projection-based weighting technique: a simulation study", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105734Z (9 March 2018); https://doi.org/10.1117/12.2294609
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KEYWORDS
Iodine

Sensors

Silicon

Dual energy imaging

Signal attenuation

Monte Carlo methods

X-rays

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