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CT image artifacts from brachytherapy seed implants: a postprocessing 3D adaptive median filter.

Parminder S Basran1, Andrew Robertson, Derek Wells

  • 1Department of Medical Physics, Vancouver Island Cancer Centre, 2410 Lee Avenue, Victoria, British Columbia V8R 6V5, Canada. pbasran@bccancer.bc.ca

Medical Physics
|April 2, 2011
PubMed
Summary
This summary is machine-generated.

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A new 3D adaptive median filter effectively reduces streak artifacts and enhances soft-tissue contrast in CT images after brachytherapy seed implantation. This image processing technique improves diagnostic accuracy for postoperative brachytherapy patients.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiotherapy

Background:

  • Postoperative CT imaging after brachytherapy seed implantation often suffers from streak artifacts.
  • These artifacts degrade soft-tissue contrast, complicating accurate assessment of treatment outcomes.
  • Improved image quality is crucial for evaluating seed placement and surrounding tissue response.

Purpose of the Study:

  • To develop and evaluate a 3D adaptive median filter for reducing streak artifacts.
  • To enhance soft-tissue contrast in postoperative CT images of brachytherapy seed implantations.
  • To improve the diagnostic quality of CT scans following brachytherapy.

Main Methods:

  • A 3D adaptive median filter was designed to identify and correct streak artifacts.

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  • The filter utilizes adjacent CT slice information and a median filter for non-seed voxels.
  • Image quality was assessed using phantoms and clinical datasets, measuring standard deviation, SNR, and CNR.

    • Main Results:

    • Streak artifact regions showed a significant reduction in CT value standard deviation (76.5 to 7.2 HU).
    • Low contrast regions demonstrated improved metrics: ROI standard deviation decreased (60.5 to 3.9 HU), SNR increased (2.3 to 22.4), and CNR improved (0.2 to 4.1).
    • Mean CT values in low contrast areas remained accurate, within 5 HU of original values.

    Conclusions:

    • An efficient postprocessing filter was developed for CT images.
    • The filter effectively minimizes streak artifacts and enhances soft-tissue contrast.
    • Applicable irrespective of CT scan parameters with slice thickness/spacing ≤ 3 mm, without needing projection data.