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      Characterization and correction of diffusion gradient‐induced eddy currents in second‐order motion‐compensated echo‐planar and spiral cardiac DTI

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          Abstract

          Purpose

          Very high gradient amplitudes played out over extended time intervals as required for second‐order motion‐compensated cardiac DTI may violate the assumption of a linear time‐invariant gradient system model. The aim of this work was to characterize diffusion gradient‐related system nonlinearity and propose a correction approach for echo‐planar and spiral spin‐echo motion‐compensated cardiac DTI.

          Methods

          Diffusion gradient‐induced eddy currents of 9 diffusion directions were characterized at b values of 150 s/mm 2 and 450 s/mm 2 for a 1.5 Tesla system and used to correct phantom, ex vivo, and in vivo motion‐compensated cardiac DTI data acquired with echo‐planar and spiral trajectories. Predicted trajectories were calculated using gradient impulse response function and diffusion gradient strength‐ and direction‐dependent zeroth‐ and first‐order eddy current responses. A reconstruction method was implemented using the predicted k ‐space trajectories to additionally include off‐resonances and concomitant fields. Resulting images were compared to a reference reconstruction omitting diffusion gradient‐induced eddy current correction.

          Results

          Diffusion gradient‐induced eddy currents exhibited nonlinear effects when scaling up the gradient amplitude and could not be described by a 3D basis alone. This indicates that a gradient impulse response function does not suffice to describe diffusion gradient‐induced eddy currents. Zeroth‐ and first‐order diffusion gradient‐induced eddy current effects of up to −1.7 rad and −16 to +12 rad/m, respectively, were identified. Zeroth‐ and first‐order diffusion gradient‐induced eddy current correction yielded improved image quality upon image reconstruction.

          Conclusion

          The proposed approach offers correction of diffusion gradient‐induced zeroth‐ and first‐order eddy currents, reducing image distortions to promote improvements of second‐order motion‐compensated spin‐echo cardiac DTI.

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          Most cited references60

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          A Threshold Selection Method from Gray-Level Histograms

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            Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions

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              MR diffusion tensor spectroscopy and imaging.

              This paper describes a new NMR imaging modality--MR diffusion tensor imaging. It consists of estimating an effective diffusion tensor, Deff, within a voxel, and then displaying useful quantities derived from it. We show how the phenomenon of anisotropic diffusion of water (or metabolites) in anisotropic tissues, measured noninvasively by these NMR methods, is exploited to determine fiber tract orientation and mean particle displacements. Once Deff is estimated from a series of NMR pulsed-gradient, spin-echo experiments, a tissue's three orthotropic axes can be determined. They coincide with the eigenvectors of Deff, while the effective diffusivities along these orthotropic directions are the eigenvalues of Deff. Diffusion ellipsoids, constructed in each voxel from Deff, depict both these orthotropic axes and the mean diffusion distances in these directions. Moreover, the three scalar invariants of Deff, which are independent of the tissue's orientation in the laboratory frame of reference, reveal useful information about molecular mobility reflective of local microstructure and anatomy. Inherently tensors (like Deff) describing transport processes in anisotropic media contain new information within a macroscopic voxel that scalars (such as the apparent diffusivity, proton density, T1, and T2) do not.
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                Author and article information

                Contributors
                kozerke@biomed.ee.ethz.ch
                Journal
                Magn Reson Med
                Magn Reson Med
                10.1002/(ISSN)1522-2594
                MRM
                Magnetic Resonance in Medicine
                John Wiley and Sons Inc. (Hoboken )
                0740-3194
                1522-2594
                02 August 2022
                December 2022
                : 88
                : 6 ( doiID: 10.1002/mrm.v88.6 )
                : 2378-2394
                Affiliations
                [ 1 ] Institute for Biomedical Engineering, University and ETH Zurich Zurich Switzerland
                [ 2 ] Center for Proton Therapy, Paul Scherrer Institute Villigen Switzerland
                [ 3 ] Division of Surgical Research University Hospital Zurich, University Zurich Zurich Switzerland
                Author notes
                [*] [* ] Correspondence

                Sebastian Kozerke, Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland.

                Email: kozerke@ 123456biomed.ee.ethz.ch

                Author information
                https://orcid.org/0000-0003-1072-0477
                https://orcid.org/0000-0001-8707-7016
                https://orcid.org/0000-0001-8670-0929
                https://orcid.org/0000-0003-3725-8884
                Article
                MRM29378
                10.1002/mrm.29378
                9804234
                35916545
                67892f87-49f8-4f1a-b9c5-62e0faaa5c74
                © 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 09 June 2022
                : 14 November 2021
                : 13 June 2022
                Page count
                Figures: 10, Tables: 0, Pages: 17, Words: 7715
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung , doi 10.13039/501100001711;
                Award ID: CR23I3_166485
                Award ID: PZ00P2_174144
                Funded by: Swiss National Science Foundation (SNSF) , doi 10.13039/501100001711;
                Categories
                Research Article
                Imaging Methodology
                Custom metadata
                2.0
                December 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:31.12.2022

                Radiology & Imaging
                cardiac dti,eddy currents,epi,girf,image reconstruction,spiral imaging
                Radiology & Imaging
                cardiac dti, eddy currents, epi, girf, image reconstruction, spiral imaging

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