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Iterative stripe artifact correction framework for TOF-MRA.

Na Li1, Shoujun Zhou2, Gang Zhao3

  • 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China.

Computers in Biology and Medicine
|May 19, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to remove stripe artifacts from 3D time-of-flight magnetic resonance angiography (TOF-MRA) images. The technique effectively enhances image quality by reducing artifacts while preserving crucial details.

Keywords:
Artifact correctionMagnetic resonance angiographyRelative total variationStripe artifact

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Magnetic Resonance Imaging

Background:

  • Stripe artifacts are a common issue in 3D Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) acquired using Multiple Overlapping Thin Slab Acquisitions (MOTSA).
  • These artifacts degrade image quality and can obscure important diagnostic information.

Purpose of the Study:

  • To develop a practical framework for correcting stripe artifacts in MOTSA-based 3D TOF-MRA.
  • To improve the spatial uniformity and structural similarity of TOF-MRA images.

Main Methods:

  • The study treats stripe artifacts as image texture.
  • Relative Total Variation (RTV) smoothing is used to create a template image, separating structure from texture.
  • A directional filter isolates artifacts from residual image data, enabling their removal and subsequent correction.

Main Results:

  • In digital phantoms, spatial uniformity improved from 74% to 82%, and structural similarity increased from 86% to 98%.
  • The method successfully eliminated stripe artifacts in real patient TOF-MRA data.
  • Crucial image details were preserved during the artifact correction process.

Conclusions:

  • The proposed iterative framework effectively corrects stripe artifacts in 3D TOF-MRA.
  • This approach enhances the imaging performance of multi-slab 3D acquisitions.
  • The method is practical and appealing for clinical applications.