A phantom study on usefulness of modifying image parameters to reduce radiation exposure and maintain image quality in chest HRCT

Clin Imaging. 2022 Jun:86:89-93. doi: 10.1016/j.clinimag.2022.03.021. Epub 2022 Mar 29.

Abstract

Purpose: To investigate the feasibility of reducing radiation dose by modifying tube voltage, window settings, and algorithm while maintaining image quality, based on the qualitative evaluation of its quality and the radiation dose, using raw data acquired in chest high-resolution computed tomography (HRCT).

Methods: Radiation exposure was measured using a Fluke dosimeter while modifying the tube voltage to 80 and 100 from 120 kVp in a 64-slice multi-detector computed tomography for comparison and analysis. Changes in image quality as a result of the different tube voltage settings, 3 different window settings (-550, -600, and -700), and 2 algorithms (standard and edge) were analyzed using ImageJ.

Results: Relative to 120kVp, the dose decreased by approximately 67.8% and 36.9% at 80 and 100 kVp, respectively. Image quality assessment showed that changing the window setting to -700 (window level) after scanning with the tube voltage set at 100 kVp and applying the edge algorithm reduced the radiation dose while maintaining the image quality.

Conclusions: The findings are significant with respect to the reduction of scan dose in that they demonstrate how radiation exposure can be reduced in a clinical scenario by altering the settings on an existing HRCT apparatus. Additional clinical trials and image assessments should be conducted on human participants to confirm the feasibility of altering HRCT settings for reducing scan doses.

Keywords: Algorithm; High-resolution computed tomography; Kilovolt peak; Radiation dose; Window setting.

MeSH terms

  • Algorithms
  • Humans
  • Phantoms, Imaging
  • Radiation Dosage
  • Radiation Exposure* / prevention & control
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Tomography, X-Ray Computed* / methods