Clinical Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) Motion-Corrected 2D T2-Weighted TSE

Azadeh Hajati1,2, Chen-Hua Chiang1,3, Sittaya Buathong4

  • 1From the Department of Radiology (A.H., C.-H.C., A.T., S.Y., J.M.C., S.Y.H.), Massachusetts General Hospital, Boston, Massachusetts.

Abstract

Insights

Scout Accelerated Motion Estimation and Reduction (SAMER) significantly reduces motion artifacts in brain MRI, improving image quality for neurologic intensive care unit patients. This method offers a reliable, hardware-free solution for clearer diagnostic imaging.

Area of Science:

  • Medical Imaging
  • Neurology
  • Radiology

Background:

  • Patient motion is a significant challenge in clinical MRI, especially in acute and inpatient neurologic settings.
  • Motion artifacts degrade image quality, potentially impacting diagnostic accuracy.
  • Existing methods for motion correction may be limited in effectiveness or workflow integration.

Purpose of the Study:

  • To evaluate the clinical effectiveness of the Scout Accelerated Motion Estimation and Reduction (SAMER) method.
  • To assess SAMER's ability to retrospectively correct motion artifacts in axial 2D T2-weighted TSE brain MRI.
  • To determine the utility of SAMER in emergency and inpatient neurologic settings.

Main Methods:

  • Prospective single-center study with 275 patients on a 3T MRI scanner.
  • Utilized a T2-weighted TSE sequence with embedded SAMER motion correction.
  • Assessed motion artifacts using a blinded grading scale and head-to-head preference tests by experienced radiologists and neuroradiologists.

Main Results:

  • SAMER significantly reduced motion artifact scores (e.g., from 0.79 to 0.62 for Rater 1, P < .001).
  • Improvements were more pronounced in cases with initial motion.
  • SAMER-corrected images were preferred over original images in 22%-23% of cases, with high interrater reliability (ICC 0.90-0.92).

Conclusions:

  • SAMER effectively reduces motion artifacts in brain MRI within neurologic intensive care units.
  • The method improves diagnostic image quality and is reliable across raters.
  • SAMER offers a promising, hardware-independent motion correction solution for clinical workflows.