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Dynamic field mapping and motion correction using interleaved double spin-echo diffusion MRI

Hutter, J; Christiaens, D; Deprez, M; Cordero-Grande, L; Slator, P; Price, A; Rutherford, M; (2017) Dynamic field mapping and motion correction using interleaved double spin-echo diffusion MRI. In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, D and Duchesne, S, (eds.) (Proceedings) Medical Image Computing and Computer Assisted Intervention − MICCAI 2017. (pp. pp. 523-531). Springer: Switzerland, Cham. Green open access

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Abstract

Diffusion MRI (dMRI) analysis requires combining data from many images and this generally requires corrections for image distortion and for subject motion during what may be a prolonged acquisition. Particularly in non-brain applications, changes in pose such as respiration can cause image distortion to be time varying, impeding static field map-based correction. In addition, motion and distortion correction is challenging at high b-values due to the low signal-to-noise ratio (SNR). In this work we develop a new approach that breaks the traditional “one-volume, one-weighting” paradigm by interleaving low-b and high-b slices, and combine this with a reverse phase-encoded double-spin echo sequence. Interspersing low and high b-value slices ensures that the low-b, high-SNR data is in close spatial and temporal proximity to support dynamic field map estimation from the double spin-echo acquisition and image-based motion correction. This information is propagated to high-b slices with interpolation across space and time. The method is tested in the challenging environment of fetal dMRI and it is demonstrated using data from 8 pregnant volunteers that combining dynamic distortion correction with slice-by-slice motion correction increases data consistency to facilitate advanced analyses where conventional methods fail.

Type: Proceedings paper
Title: Dynamic field mapping and motion correction using interleaved double spin-echo diffusion MRI
Event: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
ISBN-13: 9783319661810
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-66182-7_60
Publisher version: http://doi.org/10.1007/978-3-319-66182-7_60
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/10038236
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