Simultaneous motion correction and t-1 estimation in quantitative t-1 mapping: an ml restoration approach

In magnetic resonance imaging the spin-lattice relaxation time (T-1) of tissues is estimated from a set of T-1-weighted images. As the T-1 estimation is a voxel-wise estimation, correct alignment of the T-1-weighted images is crucial for T-1 mapping. Therefore, to correct for motion, the T-1-weighted images are often registered prior to the T-1 estimation. This two-step approach, however, does not provide an accurate motion detection due to the high dynamic contrast changes in the series of images. Moreover, interpolation effects during registration, propagate to the T-1 estimation. In this work, we propose a unified approach, where the motion estimation is integrated into the T-1 estimation procedure. The motion model parameters and T-1 parameters are jointly estimated using a Maximum Likelihood (ML) approach. Results on simulation and real data experiments show a substantial improvement in the precision and accuracy of the estimated T-1 map compared to the conventional two-step approach.

Jaar van publicatie:2015

Trefwoorden:P1 Proceeding

BOF-keylabel:ja

Authors from:Higher Education

Toegankelijkheid:Closed