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Updated: Oct 29, 2025

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Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy
Published on: May 8, 2018
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Technical Note: Volumetric computed tomography for radiotherapy simulation and treatment planning
Heather M Young1,2,3, Claire Keun Sun Park1,3, Oi-Wai Chau1,2
1Department of Medical Biophysics, University of Western Ontario, London, Canada.
Journal of Applied Clinical Medical Physics
|July 9, 2021
Summary
Volumetric CT (vCT) with a large axial field-of-view (aFOV) effectively reduces motion artifacts in 4D-CT scans for radiotherapy. Image quality metrics remained clinically acceptable, supporting vCT for radiation treatment planning.
Area of Science:
- Medical Imaging
- Radiotherapy Physics
- Diagnostic Radiology
Background:
- Motion artifacts in 4D-CT scans, caused by small axial fields-of-view (aFOV), hinder accurate radiotherapy for lung and liver tumors.
- These artifacts can compromise treatment accuracy, leading to geographic misses and suboptimal dose calculations.
Purpose of the Study:
- To evaluate the utility of a 256-slice volumetric CT (vCT) scanner for 4D-CT simulation in radiotherapy.
- To assess the impact of a large aFOV on image quality and relative electron density (RED) curves for dose calculations.
Main Methods:
- Acquired 4D-CT images using a 256-slice vCT scanner with varying aFOVs (40-160 mm).
- Assessed image quality by evaluating CT number linearity, uniformity, noise, and low-contrast resolution.
- Correlated image quality metrics with aFOV to determine clinical significance.
Main Results:
- Image quality metrics were generally within expected ranges across different aFOVs.
- CT numbers for Teflon, Delrin, and air showed a statistically significant correlation with aFOV.
- Observed deviations in CT numbers were not clinically significant, indicating minimal impact on dose calculation.
Conclusions:
- Volumetric CT (vCT) with large aFOV is suitable for 4D-CT simulation in radiation therapy.
- vCT can potentially reduce motion artifacts, improving accuracy in radiotherapy planning.
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