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17 October 2022 Angular normalized glandular dose coefficient in breast CT: clinical data study
Hsin Wu Tseng, Andrew Karellas, Srinivasan Vedantham
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Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123040Q (2022) https://doi.org/10.1117/12.2646683
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
The goal of this study is to understand how the normalized glandular dose coefficient (𝐷𝑔𝑁𝐢𝑇) varies with projection angle in dedicated cone-beam breast computed tomography (CBBCT). Seventy-five CBBCT clinical datasets from a research database were used for this study. All samples were segmented into skin, adipose and fibroglandular tissues. The segmented volumes were used in a Monte Carlo simulation package (GATE 8.0) to estimate the radiation dose at 10 angles in a full scan. An analytical model is proposed, and this model predicted that the angular 𝐷𝑔𝑁𝐢𝑇 follows a sine wave and the maximum is related to the center of geometry of the fibroglandular tissue (COGf ). The angular 𝐷𝑔𝑁𝐢𝑇 from Monte Carlo simulations was consistent with our model and follows a sine wave with amplitude of 0.0376. The maximum of the wave occurs when the x-ray source is approximately at head position, which is consistent with our model. Our results indicate that the higher angular 𝐷𝑔𝑁𝐢𝑇 occurs when the x-ray source is superior to the breast. This suggests using a x-ray source trajectory inferior to the breast for short-scan CBBCT design.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Hsin Wu Tseng, Andrew Karellas, and Srinivasan Vedantham "Angular normalized glandular dose coefficient in breast CT: clinical data study", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 123040Q (17 October 2022); https://doi.org/10.1117/12.2646683
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KEYWORDS
Breast
Tissues
X-ray sources
Mathematical modeling
X-ray computed tomography
Monte Carlo methods
X-rays
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