Cargando…
Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)
Purpose: To develop a novel convolutional recurrent neural network (CRNN-DWI) and apply it to reconstruct a highly undersampled (up to six-fold) multi-b-value, multi-direction diffusion-weighted imaging (DWI) dataset. Methods: A deep neural network that combines a convolutional neural network (CNN)...
Autores principales: | Zhong, Zheng, Ryu, Kanghyun, Mao, Jonathan, Sun, Kaibao, Dan, Guangyu, Vasanawala, Shreyas S., Zhou, Xiaohong Joe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376839/ https://www.ncbi.nlm.nih.gov/pubmed/37508891 http://dx.doi.org/10.3390/bioengineering10070864 |
Ejemplares similares
-
Sensitivity of Diffusion-Weighted STEAM MRI and EPI-DWI to Infratentorial Ischemic Stroke
por: Khalil, Ahmed A., et al.
Publicado: (2016) -
Pill Box Text Identification Using DBNet-CRNN
por: Xiang, Liuqing, et al.
Publicado: (2023) -
Text Recognition Model Based on Multi-Scale Fusion CRNN
por: Zou, Le, et al.
Publicado: (2023) -
Computed diffusion weighted imaging (cDWI) and voxelwise-computed diffusion weighted imaging (vcDWI) for oncologic liver imaging: A pilot study
por: Seith, Ferdinand, et al.
Publicado: (2018) -
Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network
por: Mohammadi, Mohaddese, et al.
Publicado: (2023)