Super-resolution T1 mapping with integrated motion compensation in a joint maximum likelihood framework

TitleSuper-resolution T1 mapping with integrated motion compensation in a joint maximum likelihood framework
Publication TypeConference Abstract
Year of Publication2019
AuthorsBeirinckx, Q., B. Jeurissen, M. Verhoye, A J. den Dekker, and J. Sijbers
Conference Name36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology (ESMRMB), Rotterdam, The Netherlands
Volume32 (Suppl. 1)
NumberS14.05
PublisherMagn Reson Mater Phy
Abstract

To date, 3D high resolution (HR) quantitative T1 mapping is not feasible in clinical practice due to prohibitively long acquisition times. Recent work has shown that super-resolution reconstruction (SRR), in which a 3D HR T1 map is directly estimated from a set of low through-plane resolution (LR) multi-slice (ms) T1-weighted (T1w) images with different slice orientations, can improve the trade-off between SNR, spatial resolution, and acquisition time. In that work, however, inter-image motion compensation for SRR is performed in a preprocessing step in which the transformation parameters of each LR image are updated after image registration. As a result, potential registration errors might propagate in the T1 estimation as no feedback mechanism is in place. Moreover, due to missing subvoxel accuracy no HR information is readily available during preprocessing. In the current work, we explore the potential of an improved SRR T1 mapping method that aims at more accurate T1 maps by combining T1 and motion estimation in a joint Maximum Likelihood estimation (jMLE) framework.

DOI10.1007/s10334-019-00754-2