Neural network enhanced 3D turbo spin echo for MR intracranial vessel wall imaging.

ABSTRACT:

Purpose

To improve the signal-to-noise ratio (SNR) and image sharpness for whole brain isotropic 0.5 mm three-dimensional (3D) T₁ weighted (T₁w) turbo spin echo (TSE) intracranial vessel wall imaging (IVWI) at 3 T.

Methods

The variable flip angle (VFA) method enables useful optimization across scan efficiency, SNR and relaxation induced point spread function (PSF) for TSE imaging. A convolutional neural network (CNN) was developed to retrospectively enhance the acquired TSE image with PSF blurring. The previously developed VFA method to increase SNR at the expense of blur can be combined with the presented PSF correction to yield long echo train length (ETL) scan while the acquired image remains high SNR and sharp. The overall approach can enable an opt

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC7979503 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature