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CBCT image quality QA: Establishing a quantitative program.

Sameer Taneja1, David L Barbee1, Anthony J Rea1

  • 1Department of Radiation Oncology, New York University Langone Medical Center, New York, NY, USA.

Journal of Applied Clinical Medical Physics
|October 20, 2020
PubMed
Summary
This summary is machine-generated.

Routine quality assurance (QA) for cone-beam computed tomography (CBCT) in image-guided radiotherapy shows variability across machines and techniques. Imager calibration and rapid exposures can impact image quality metrics, necessitating careful baseline establishment.

Keywords:
cone-beam computed tomographyimage qualityinstitutional baselineslinear accelerator quality assurance

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Quality Assessment

Background:

  • Routine quality assurance (QA) for cone-beam computed tomography (CBCT) is crucial for image-guided radiotherapy, as recommended by the American Association of Physicists in Medicine Task Group (TG)-142 report.
  • TG-142 suggests using established baseline values as QA tolerances for CBCT image quality.

Purpose of the Study:

  • To examine image quality parameter variations across different machines and CBCT techniques.
  • To investigate the effects of imager recalibration and repeated exposures during routine QA on CBCT image quality.

Main Methods:

  • CBCT scans of the Catphan 604 phantom were acquired on multiple linear accelerators using various manufacturer-provided techniques.
  • TG-142 image quality parameters were calculated using SunCHECK Machine™, with variability assessed via two-way ANOVA.
  • The impact of imager calibration and rapid acquisition artifacts was also evaluated.

Main Results:

  • Most imaging parameters varied significantly with CBCT technique and machine, except for geometric distortion and slice thickness respectively.
  • Imager calibration can alter imaging parameters, but changes may not always be clinically significant.
  • Rapid CBCT acquisition can introduce artifacts that degrade image uniformity.

Conclusions:

  • This study characterized the variability of CBCT data across machines and techniques.
  • The impact of imager calibration and rapid acquisition on image quality was elucidated.
  • Findings support the need for careful establishment of baselines and tolerances for CBCT QA.