Motion-insensitive diffusion imaging of the brain using optical tracking and dynamic sequence updates.

ABSTRACT:

Purpose

Diffusion-weighted imaging (DWI) is sensitive to head movements, which may cause signal losses because of motion-induced gradient imbalances. Prospective motion correction using fast optical tracking can attenuate these artifacts. Approaches include quasicontinuous updates of gradients and radiofrequency (RF) pulses or dynamically applying a rebalancing gradient to restore the gradient balance, but these prior methods used bipolar diffusion gradients. The goal of this project was to develop and evaluate a motion-insensitive implementation for the more common monopolar diffusion sequence.

Methods

A monopolar diffusion sequence was developed with motion updates before each RF pulse and each diffusion-weighting gradient. The sequence was tested in a phantom and human br

SUBMITTER: Kaso A 

PROVIDER: S-EPMC8211393 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature