Angular normalized glandular dose coefficient in breast CT: clinical data study

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this study is to understand how the normalized glandular dose coefficient (DgNCT) 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 DgNCT follows a sine wave and the maximum is related to the center of geometry of the fibroglandular tissue (COGf). The angular DgNCT 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 DgNCT 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.

Original languageEnglish (US)
Title of host publication7th International Conference on Image Formation in X-Ray Computed Tomography
EditorsJoseph Webster Stayman
PublisherSPIE
ISBN (Electronic)9781510656697
DOIs
StatePublished - 2022
Event7th International Conference on Image Formation in X-Ray Computed Tomography - Virtual, Online
Duration: Jun 12 2022Jun 16 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12304

Conference

Conference7th International Conference on Image Formation in X-Ray Computed Tomography
CityVirtual, Online
Period6/12/226/16/22

Keywords

  • Monte Carlo
  • breast CT
  • mean glandular dose
  • radiation dose

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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