Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method

BackgroundUnderstanding neural connections facilitates the neuroscience and cognitive behavioral research. There are many nerve fiber intersections in the brain that need to be observed, and the size is between 30 and 50 nanometers. Improving image resolution has become an important issue for mappin...

Full description

Bibliographic Details
Main Authors: Chun-Yuan Shin, Yi-Ping Chao, Li-Wei Kuo, Yi-Peng Eve Chang, Jun-Cheng Weng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neuroinformatics
Subjects:
super-resolution convolutional neural network (SRCNN)
generalized q-sampling imaging (GQI)
peak signal-to-noise ratio (PSNR)
structural similarity index measure (SSIM)
diffusion MRI
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.956600/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2023.956600/full

Similar Items