Mouse brain MR super-resolution using a deep learning network trained with optical imaging data

IntroductionThe resolution of magnetic resonance imaging is often limited at the millimeter level due to its inherent signal-to-noise disadvantage compared to other imaging modalities. Super-resolution (SR) of MRI data aims to enhance its resolution and diagnostic value. While deep learning-based SR...

Full description

Bibliographic Details
Main Authors: Zifei Liang, Jiangyang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Radiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2023.1155866/full