Quantitative evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) MPRAGE for morphometric analysis

Nelson Gil1, Azadeh Tabari1, Wei-Ching Lo2

  • 1Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Neuroimage
|September 30, 2024
PubMed
Abstract

Insights

The Scout Accelerated Motion Estimation and Reduction (SAMER) method effectively corrects motion artifacts in 3D T1-weighted MRI scans. This improves the accuracy of cortical volume and thickness measurements crucial for dementia evaluation.

Area of Science:

  • Neuroimaging
  • Radiology
  • Medical Physics

Background:

  • Three-dimensional (3D) T1-weighted MRI, like Magnetization Prepared Rapid Gradient Echo (MPRAGE), is vital for dementia evaluation but suffers from long scan times and motion artifacts.
  • The Scout Accelerated Motion Estimation and Reduction (SAMER) method offers retrospective motion correction for MPRAGE scans within clinically feasible computation times.
  • SAMER has demonstrated qualitative effectiveness in inpatient and emergency settings.

Purpose of the Study:

  • To quantitatively assess the accuracy of morphometric analysis using SAMER motion-corrected MPRAGE images compared to non-corrected images.
  • To evaluate SAMER's effectiveness in correcting motion-induced changes in cortical volume and thickness.
  • To determine the impact of SAMER on neuroimaging analysis in healthy volunteers and patients evaluated for dementia.

Main Methods:

  • Two subject groups were used: 12 healthy volunteers (108 MPRAGE scans) and 29 patients undergoing dementia evaluation.
  • Healthy volunteers' scans were manipulated to simulate mild to severe motion corruption to test SAMER's correction capabilities.
  • Patients with motion-corrupted clinical MPRAGE scans were prospectively enrolled for analysis.

Main Results:

  • SAMER effectively corrected motion-induced reductions in cortical volume and thickness across neuroanatomical regions.
  • Systematic increases in estimated cortical volume and thickness were observed, with up to a 66% reduction in percent error for cerebral white matter volume compared to reference scans.
  • Statistically significant volume increases were noted in patients, particularly in the parietal and temporal lobes, with general reductions in percent error.

Conclusions:

  • SAMER enhances morphometric analysis accuracy by systematically increasing and recovering estimated cortical volume and thickness.
  • Motion correction using SAMER can significantly impact the evaluation of regional cortical atrophy in dementia assessment.
  • This method holds promise for improving the reliability of neuroimaging biomarkers in clinical dementia evaluation.

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