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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Related Experiment Video

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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Technical note: optimization for improved tube-loading efficiency in the dual-energy computed tomography coupled with

Masatoshi Saito1

  • 1Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Niigata University, Japan. masaito@clg.niigata-u.ac.jp

Medical Physics
|October 1, 2010
PubMed
Summary

Balanced filter dual-energy CT (bf-DECT) spectral optimization reduces radiation dose and tube loading for radiotherapy electron density imaging. This method improves efficiency by slightly sacrificing image noise quality for effective atomic number.

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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition
08:16

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Computed Tomography

Background:

  • Dual-energy CT (DECT) is crucial for radiotherapy treatment planning, particularly for electron density imaging.
  • Conventional DECT methods can involve high tube loadings and radiation doses.
  • Balanced filters (bf-DECT) offer a potential solution for optimizing DECT acquisition parameters.

Purpose of the Study:

  • To spectrally optimize balanced filter dual-energy CT (bf-DECT).
  • To reduce tube loadings and radiation dose in DECT acquisition.
  • To maintain essential electron density information for radiotherapy planning.

Main Methods:

  • Calculated beam-hardening error and air kerma for a water phantom to achieve desired noise levels in electron density images.
  • Selected optimal beam parameters including tube voltage, balanced filter material, and thickness.
  • Evaluated spectral optimization for bf-DECT.

Main Results:

  • Identified optimal tube voltages (80 kV/140 kV) with Tb/Hf and Bi/Mo filter pairs.
  • Significantly decreased low-energy scan tube loading (57.5 to 4.5 times conventional DECT).
  • Reduced air kerma compared to conventional DECT while maintaining figure of merit for electron density and effective atomic number.

Conclusions:

  • bf-DECT demonstrates considerably improved tube-loading and dose efficiencies.
  • Optimization involves a trade-off, sacrificing some noise level quality in effective atomic number images.
  • The optimized bf-DECT is effective for electron density acquisition in radiotherapy planning.