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.
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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 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: | https://discovery.ucl.ac.uk/id/eprint/10038236 |
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