Motion-insensitive carotid intraplaque hemorrhage imaging using 3D inversion recovery preparation stack of stars

Seong-Eun Kim1,2, John A Roberts1,2, Laura B Eisenmenger2

  • 1Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, Utah, USA.

Insights

A new "Stack of Stars" (SOS) MRI sequence improves carotid intraplaque hemorrhage (IPH) detection by reducing motion and flow artifacts. This advanced imaging technique offers higher image quality and reliability for stroke risk assessment.

Area of Science:

  • Medical Imaging
  • Radiology
  • Cardiovascular Imaging

Background:

  • Carotid artery imaging is crucial for stroke risk assessment.
  • Detecting intraplaque hemorrhage (IPH) in carotid arteries is diagnostically challenging.
  • Standard 3D MPRAGE sequences can be limited by motion and flow artifacts.

Purpose of the Study:

  • To develop and evaluate an improved 3D carotid MPRAGE sequence for enhanced IPH detection.
  • To investigate the efficacy of a radial-based "Stack of Stars" (SOS) sequence with inversion recovery preparation.
  • To hypothesize that SOS would reduce motion sensitivity and improve flow suppression.

Main Methods:

  • 31 patients with carotid disease underwent 3T MRI using both 3D IR-prep Cartesian and SOS sequences.
  • Image quality, motion, and flow artifacts were compared between the two sequences.
  • Interrater reliability was assessed using Kappa analysis.

Main Results:

  • The SOS sequence demonstrated significantly higher image quality (3.74 vs. 3.11, P < 0.001).
  • SOS acquisition resulted in less motion (19.4% vs. 45.2%, P < 0.002) and flow artifact (27.4% vs. 41.9%, P < 0.089).
  • Excellent interrater reliability was achieved with SOS (kappa = 0.89), surpassing Cartesian (kappa = 0.84).

Conclusions:

  • The SOS MPRAGE sequence offers significant advantages over Cartesian MPRAGE for carotid IPH detection.
  • Reduced artifacts and high reliability make SOS a valuable tool for clinical management.
  • This improved sequence aids in more accurate stroke risk assessment.
Abstract