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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

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Optimal acquisition parameter selection for CT simulators in radiation oncology.

Ruijie Rachel Liu¹, Karl L Prado¹, Dianna Cody²

¹Department of Radiation Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, U.S.A.

Journal of Applied Clinical Medical Physics

|November 21, 2008

Summary

This study optimized CT acquisition parameters for radiation oncology scanners. Findings reveal helical artifacts depend on pitch and detector settings, guiding physicists in selecting optimal scanner configurations for improved image quality.

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Area of Science:

Medical Physics
Radiologic Technology
Imaging Science

Background:

CT scanners are crucial for radiation oncology (RO) simulation.
Optimizing CT acquisition parameters is essential for accurate treatment planning.
Scanner-specific variations necessitate tailored parameter evaluations.

Purpose of the Study:

To determine optimal CT acquisition parameters for diverse scanner models in RO.
To evaluate image quality considering CT simulation requirements.
To provide guidance for physicists in scanner calibration and use.

Main Methods:

Utilized two CT phantoms to assess image quality across five multi-channel CT scanners.
Employed helical scan mode, varying pitch, detector configuration, and rotation time.
Analyzed effects on helical artifacts, spatial resolution, and contrast resolution.

Main Results:

Helical artifacts are strongly correlated with pitch and detector configuration.
Artifacts were scanner-specific, often pronounced when channel width matched image thickness.
Minor variations in resolution were observed with different parameters; short rotation times slightly degraded quality on some scanners.

Conclusions:

Optimized acquisition parameter sets were identified for each specific scanner make and model.
The study provides a practical strategy for evaluating and optimizing CT scanners in RO.
Findings are directly applicable to physicists with matching scanner models or serve as a methodological guide.