Accelerated and quantitative three-dimensional molecular MRI using a generative adversarial network.

ABSTRACT:

Purpose

To substantially shorten the acquisition time required for quantitative three-dimensional (3D) chemical exchange saturation transfer (CEST) and semisolid magnetization transfer (MT) imaging and allow for rapid chemical exchange parameter map reconstruction.

Methods

Three-dimensional CEST and MT magnetic resonance fingerprinting (MRF) datasets of L-arginine phantoms, whole-brains, and calf muscles from healthy volunteers, cancer patients, and cardiac patients were acquired using 3T clinical scanners at three different sites, using three different scanner models and coils. A saturation transfer-oriented generative adversarial network (GAN-ST) supervised framework was then designed and trained to learn the mapping from a reduced input data space to the quantitative exch

SUBMITTER: Weigand-Whittier J 

PROVIDER: S-EPMC9992146 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature