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Accelerating brain three-dimensional T2 fluid-attenuated inversion recovery using artificial intelligence-assisted

Jinli Ding1, Li Chai1, Yunyun Duan1

  • 1Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Quantitative Imaging in Medicine and Surgery
|October 21, 2024
PubMed
Summary

Artificial intelligence-assisted compressed sensing (ACS) significantly reduces brain 3D T2 FLAIR acquisition time compared to parallel imaging (PI). This AI technique maintains high image quality and diagnostic confidence, improving clinical efficiency.

Keywords:
T2 fluid-attenuated inversion recovery (T2 FLAIR)artificial intelligence-assisted compressed sensing (AI-ACS)brain magnetic resonance imaging (brain MRI)parallel imaging (PI)

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging Techniques
  • Artificial Intelligence in Medical Imaging

Background:

  • Accelerated MRI acquisition techniques aim to reduce scan times and motion artifacts in brain imaging.
  • Three-dimensional T2 fluid-attenuated inversion recovery (3D T2 FLAIR) is crucial for visualizing brain pathologies.
  • Comparing artificial intelligence-assisted compressed sensing (ACS) with parallel imaging (PI) for accelerated 3D T2 FLAIR is essential for clinical advancement.

Purpose of the Study:

  • To evaluate and compare the image quality of brain 3D T2 FLAIR accelerated by ACS versus PI.
  • To assess quantitative metrics including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and image sharpness.
  • To determine the impact of ACS on qualitative aspects like overall image quality, border definition, and diagnostic confidence.

Main Methods:

  • A prospective cohort study involving 102 participants (healthy and with suspected brain diseases).
  • Acquisition of both ACS- and PI-accelerated 3D T2 FLAIR brain scans using a 3.0-Tesla MRI system.
  • Quantitative analysis of SNR, CNR, sharpness, and tumor volume; qualitative assessment of image quality and diagnostic confidence.

Main Results:

  • ACS-3D T2 FLAIR achieved significantly shorter acquisition times (105 vs. 320 seconds) compared to PI-3D T2 FLAIR.
  • ACS demonstrated superior SNR in white matter (WM) and gray matter (GM), and higher CNRWM/GM and sharpness (P<0.001).
  • No significant differences were observed in overall image quality (P=0.063) or GM-WM border sharpness (P=0.125), with excellent agreement in tumor volume (ICC=0.999).

Conclusions:

  • ACS significantly reduces brain 3D T2 FLAIR scanning time compared to PI.
  • ACS-accelerated 3D T2 FLAIR maintains comparable image quality and diagnostic confidence to PI.
  • ACS represents a promising technique for efficient and high-quality brain MRI in clinical settings.