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.
@article{arxiv.2212.01878,
title = {CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation},
author = {Yirong Zhou and Chen Qian and Jiayu Li and Zi Wang and Yu Hu and Biao Qu and Liuhong Zhu and Jianjun Zhou and Taishan Kang and Jianzhong Lin and Qing Hong and Jiyang Dong and Di Guo and Xiaobo Qu},
journal= {arXiv preprint arXiv:2212.01878},
year = {2024}
}