  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.
