A

Segmented simultaneous multi‐slice diffusion‐weighted imaging with navigated 3D rigid motion correction

Magnetic Resonance in Medicine, vol. 86, pp. 1701–1717

Abstract

PURPOSE: To improve the robustness of diffusion-weighted imaging (DWI) data acquired with segmented simultaneous multi-slice (SMS) echo-planar imaging (EPI) against in-plane and through-plane rigid motion. THEORY AND METHODS: The proposed algorithm incorporates a 3D rigid motion correction and wavelet denoising into the image reconstruction of segmented SMS-EPI diffusion data. Low-resolution navigators are used to estimate shot-specific diffusion phase corruptions and 3D rigid motion parameters through SMS-to-volume registration. The shot-wise rigid motion and phase parameters are integrated into a SENSE-based full-volume reconstruction for each diffusion direction. The algorithm is compared to a navigated SMS reconstruction without gross motion correction in simulations and in vivo studies with four-fold interleaved 3-SMS diffusion tensor acquisitions. RESULTS: Simulations demonstrate high fidelity was achieved in the SMS-to-volume registration, with submillimeter registration errors and improved image reconstruction quality. In vivo experiments validate successful artifact reduction in 3D motion-compromised in vivo scans with a temporal motion resolution of approximately 0.3 s. CONCLUSION: This work demonstrates the feasibility of retrospective 3D rigid motion correction from shot navigators for segmented SMS DWI.

Authors 4

  1. Malte Riedel corresponding

    University of Lübeck

    Affiliation as printed

    Institute for Signal Processing University of Luebeck Luebeck Germany

    Institute for Signal Processing, University of Luebeck, Luebeck, Germany

  2. Harvard University · Harvard–MIT Division of Health Sciences and Technology · Athinoula A. Martinos Center for Biomedical Imaging · Massachusetts Institute of Technology

    Affiliation as printed

    Athinoula A. Martinos Center for Biomedical Imaging Charlestown Massachusetts USA

    Department of Radiology Harvard Medical School Boston Massachusetts USA

    Harvard‐MIT Health Sciences and Technology, MIT Cambridge Massachusetts USA

    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA

    Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA

    Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA

  3. University of Lübeck

    Affiliation as printed

    Institute for Signal Processing University of Luebeck Luebeck Germany

    Institute for Signal Processing, University of Luebeck, Luebeck, Germany

  4. Leiden University Medical Center · Philips (Germany)

    Affiliation as printed

    Philips Research Hamburg Germany

    Radiology, C.J. Gorter Center for High‐Field MRI Leiden University Medical Center Leiden The Netherlands

    Philips Research, Hamburg, Germany

    Radiology, C.J. Gorter Center for High-Field MRI, Leiden University Medical Center, Leiden, The Netherlands

Cited by 9 stored of 9

9 results

No patents citing this paper on Lens.org (checked 2026-10-11).

References 75