Paper Info
Title
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI.
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.
Year
Venue
Field
2017
MICCAI
Computer vision,Diffusion MRI,Computer science,Interpolation,Challenging environment,Artificial intelligence,Spin echo,Distortion,Motion correction,Interleaving,Data consistency
DocType
Citations 
PageRank 
Conference
1
0.35
References 
Authors
5
8
Name
Order
Citations
PageRank
Jana Hutter173.47
Daan Christiaens221.72
Maria Deprez312.38
Lucilio Cordero-Grande414016.15
Paddy Slator541.07
Anthony N Price625315.32
Mary A. Rutherford743431.30
Jo Hajnal81796119.03