Adaptive registration of varying contrast-weighted images for improved tissue characterization (ARCTIC): application to T1 mapping.

ABSTRACT:

Purpose

To propose and evaluate a novel nonrigid image registration approach for improved myocardial T1 mapping.

Methods

Myocardial motion is estimated as global affine motion refined by a novel local nonrigid motion estimation algorithm. A variational framework is proposed, which simultaneously estimates motion field and intensity variations, and uses an additional regularization term to constrain the deformation field using automatic feature tracking. The method was evaluated in 29 patients by measuring the DICE similarity coefficient and the myocardial boundary error in short axis and four chamber data. Each image series was visually assessed as "no motion" or "with motion." Overall T1 map quality and motion artifacts were assessed in the 85 T1 maps acquired in short axis

SUBMITTER: Roujol S 

PROVIDER: S-EPMC4221574 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature