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[The Application Value of Artificial Intelligence-based Filtering and Interpolated Image Reconstruction Algorithm in

Xu Xu1, Wan-Lin Peng1, Jin-Ge Zhang1

  • 1Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.

Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition
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Artificial intelligence-based filtering and interpolation (AIFI) significantly improves abdominal MRI image quality over conventional filtering. Optimal parameters for AIFI noise reduction were identified for T1WI, T2WI, and dualecho sequences.

Keywords:
Abdominal magnetic resonance imagingArtificial intelligenceFilteringImage denoising

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Image Processing

Background:

  • Abdominal MRI (magnetic resonance imaging) is crucial for diagnosis but susceptible to image noise.
  • Conventional filtering methods offer limited noise reduction, potentially impacting diagnostic accuracy.
  • Artificial intelligence-based filtering and interpolation (AIFI) presents a novel approach for enhancing image quality.

Purpose of the Study:

  • To compare the effectiveness of AIFI versus conventional filtering for abdominal MRI noise reduction.
  • To determine the optimal parameters for applying AIFI in abdominal MRI denoising.

Main Methods:

  • Retrospective analysis of 60 upper abdominal MRI scans (T1WI, T2WI, dualecho sequences).
  • Reconstruction of raw data using conventional filtering and AIFI at various intensity levels.
  • Objective assessment of image quality (pSNR, sharpness) and subjective evaluation by two radiologists (noise, contrast, sharpness, overall quality).

Main Results:

  • Both conventional filtering and AIFI improved image quality metrics (pSNR, sharpness) compared to original images.
  • AIFI demonstrated superior performance over conventional filtering, especially at medium to high levels (AIFI level ≥3 for T2WI/echo1, ≥4 for echo2).
  • Optimal parameters identified: conventional filtering + AIFI level 3 for T1WI; AIFI level 4 for T2WI and dualecho sequences.

Conclusions:

  • AIFI is a superior noise reduction technique for abdominal MRI compared to conventional filtering, particularly at higher intensity levels.
  • The study provides specific, optimized parameters for AIFI application in different abdominal MRI sequences.
  • AIFI shows significant promise for improving diagnostic image quality in abdominal MRI.