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...

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Detalhes bibliográficos

Principais autores:	Chun-Yuan Shin, Yi-Ping Chao, Li-Wei Kuo, Yi-Peng Eve Chang, Jun-Cheng Weng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-02-01
Colecção:	Frontiers in Neuroinformatics
Assuntos:	super-resolution convolutional neural network (SRCNN) generalized q-sampling imaging (GQI) peak signal-to-noise ratio (PSNR) structural similarity index measure (SSIM) diffusion MRI
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fninf.2023.956600/full
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