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Patch Based Grid Artifact Suppressing in Digital Mammography.

Qingqing Ling1, Shuyu Wu1, Xiaoman Duan1

  • 1School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Biomed Research International
|August 31, 2018
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Summary
This summary is machine-generated.

This study introduces a fast patch-based frequency filtering method to remove antiscatter grid artifacts in digital mammography. The technique enhances image quality for more accurate breast cancer screening.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering

Background:

  • Mammography is crucial for breast cancer screening.
  • Antiscatter grids improve image contrast but introduce artifacts.
  • Grid artifacts degrade digital mammography image quality.

Purpose of the Study:

  • To develop a fast method for suppressing antiscatter grid artifacts in digital mammography.
  • To improve the quality of mammographic images for better diagnosis.

Main Methods:

  • A patch-based frequency signal filtering approach was proposed.
  • Image blocks were processed simultaneously to reduce interference and save computation time.
  • Characteristic peak detection was used to identify grid patterns and motion.

Main Results:

  • The method effectively suppressed grid artifacts in both simulated and real mammography data.
  • Patch-based processing reduced frequency interference and computation time.
  • Accurate identification of grid patterns and motion was achieved.

Conclusions:

  • The proposed method offers a promising solution for fast and precise suppression of grid artifacts.
  • This technique has the potential to significantly enhance digital mammography image quality.
  • Improved image quality can lead to more reliable breast cancer screening outcomes.