Related Experiment Video
Updated: May 27, 2025

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
Published on: July 29, 2013
Assessment and improvement of the quality of radiotherapy treatment planning CT images using a clinically validated
Anne T Davis1, Andrew Bird2, Lorraine Cowley3
1Department of Medical Physics and Biomedical Engineering, University College London, UK; Department of Medical Physics, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Purpose:
To develop a phantom method of image quality assessment for radiotherapy planning CT protocols (head and neck (H&N) and prostate) and validate results against clinical image quality. Test with data from different scanners and suggest protocol adjustments.
Methods:
Macros measured patient water-equivalent diameter and noise from clinical CT images. Target transfer function (TTF), contrast, noise-power spectrum (NPS), detectability index and the edge visibility of a low contrast target were measured using Catphan 604 and bespoke phantoms. Ten centres scanned the phantoms with modified clinical protocols and collected data from patient images using the macros. Clinical experts, ranked the quality of images for contouring and correlated results against phantom metrics.
Results:
Clinical image review showed a large range of results from different scanners for H&N scans and fewer differences for prostate. The phantom metrics best correlated with high clinical image scores were, for H&N: high TTF50 (r = 0.73, p = 0.003), contrast (r = 0.58, p = 0.003) and target edge visibility (r = 0.70, p = 0.004); for prostate: high TTF50 (r = 0.83, p = 0.002), low noise (r = 0.37, p = 0.26) and target edge visibility (r = 0.59, p = 0.05). Hence, optimal contrast, resolution and noise are important for good contouring image quality. Reconstruction kernel, field of view and noise, or X-ray tube current and rotation time, are possible parameters for adjustment.
Conclusions:
This phantom method (using Catphan 604) was a good surrogate for clinical quality assessment of CT images for radiotherapy contouring. Results identified the poorest performing scanners, allowing recommendations for image quality improvement and confirming scan protocol optimisation is necessary in some centres.
More Related Videos
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022
05:18Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
Published on: October 6, 2023