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)...

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Detalles Bibliográficos
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:
Communication
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376839/
https://www.ncbi.nlm.nih.gov/pubmed/37508891
http://dx.doi.org/10.3390/bioengineering10070864

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