CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation

Fuente: arXiv
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Autores principales: Zhou, Yirong, Qian, Chen, Li, Jiayu, Wang, Zi, Hu, Yu, Qu, Biao, Zhu, Liuhong, Zhou, Jianjun, Kang, Taishan, Lin, Jianzhong, Hong, Qing, Dong, Jiyang, Guo, Di, Qu, Xiaobo
Formato: Preprint
Publicado: 2022
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author Zhou, Yirong
Qian, Chen
Li, Jiayu
Wang, Zi
Hu, Yu
Qu, Biao
Zhu, Liuhong
Zhou, Jianjun
Kang, Taishan
Lin, Jianzhong
Hong, Qing
Dong, Jiyang
Guo, Di
Qu, Xiaobo
author_facet Zhou, Yirong
Qian, Chen
Li, Jiayu
Wang, Zi
Hu, Yu
Qu, Biao
Zhu, Liuhong
Zhou, Jianjun
Kang, Taishan
Lin, Jianzhong
Hong, Qing
Dong, Jiyang
Guo, Di
Qu, Xiaobo
contents Efficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (MRI). Here, we develop CloudBrain-ReconAI, an online cloud computing platform, for algorithm deployment, fast and blind reader study. This platform supports online image reconstruction using state-of-the-art artificial intelligence and compressed sensing algorithms with applications to fast imaging and high-resolution diffusion imaging. Through visiting the website, radiologists can easily score and mark the images. Then, automatic statistical analysis will be provided. CloudBrain-ReconAI is now open accessed at https://csrc.xmu.edu.cn/CloudBrain.html and will be continually improved to serve the MRI research community.
format Preprint
id arxiv_https___arxiv_org_abs_2212_01878
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
Zhou, Yirong
Qian, Chen
Li, Jiayu
Wang, Zi
Hu, Yu
Qu, Biao
Zhu, Liuhong
Zhou, Jianjun
Kang, Taishan
Lin, Jianzhong
Hong, Qing
Dong, Jiyang
Guo, Di
Qu, Xiaobo
Image and Video Processing
Efficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (MRI). Here, we develop CloudBrain-ReconAI, an online cloud computing platform, for algorithm deployment, fast and blind reader study. This platform supports online image reconstruction using state-of-the-art artificial intelligence and compressed sensing algorithms with applications to fast imaging and high-resolution diffusion imaging. Through visiting the website, radiologists can easily score and mark the images. Then, automatic statistical analysis will be provided. CloudBrain-ReconAI is now open accessed at https://csrc.xmu.edu.cn/CloudBrain.html and will be continually improved to serve the MRI research community.
title CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
topic Image and Video Processing
url https://arxiv.org/abs/2212.01878