4.5 Article

Three-dimensional motion corrected sensitivity encoding reconstruction for multi-shot multi-slice MRI: Application to neonatal brain imaging

期刊

MAGNETIC RESONANCE IN MEDICINE
卷 79, 期 3, 页码 1365-1376

出版社

WILEY
DOI: 10.1002/mrm.26796

关键词

magnetic resonance; image reconstruction; motion correction; neonatal brain imaging; multi-shot multi-slice images

资金

  1. Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre
  2. European Research Council (ERC) [319456]
  3. Medical Research Council (MRC) [MR/K006355/1]
  4. MRC [MR/K006355/1] Funding Source: UKRI
  5. Medical Research Council [MR/K006355/1] Funding Source: researchfish

向作者/读者索取更多资源

PurposeTo introduce a methodology for the reconstruction of multi-shot, multi-slice magnetic resonance imaging able to cope with both within-plane and through-plane rigid motion and to describe its application in structural brain imaging. Theory and MethodsThe method alternates between motion estimation and reconstruction using a common objective function for both. Estimates of three-dimensional motion states for each shot and slice are gradually refined by improving on the fit of current reconstructions to the partial k-space information from multiple coils. Overlapped slices and super-resolution allow recovery of through-plane motion and outlier rejection discards artifacted shots. The method is applied to T-2 and T-1 brain scans acquired in different views. ResultsThe procedure has greatly diminished artifacts in a database of 1883 neonatal image volumes, as assessed by image quality metrics and visual inspection. Examples showing the ability to correct for motion and robustness against damaged shots are provided. Combination of motion corrected reconstructions for different views has shown further artifact suppression and resolution recovery. ConclusionThe proposed method addresses the problem of rigid motion in multi-shot multi-slice anatomical brain scans. Tests on a large collection of potentially corrupted datasets have shown a remarkable image quality improvement. Magn Reson Med 79:1365-1376, 2018. (c) 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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