论文标题
Cloudbrain-Reconai：MRI重建和图像质量评估的在线平台
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
论文作者
论文摘要
工程师与放射科医生之间的有效协作对于图像重建算法的开发和磁共振成像中的图像质量评估很重要。在这里，我们开发了一个在线云计算平台CloudBrain-Reconai，用于算法部署，快速和盲目的读者研究。该平台使用最先进的人工智能和压缩传感算法的应用程序支持在线图像重建，并应用于快速成像和高分辨率扩散成像。通过访问网站，放射科医生可以轻松评分并标记图像。然后，将提供自动统计分析。 Cloudbrain-Reconai现在可以通过https://csrc.xmu.edu.edu.cn/cloudbrain.html访问，并将不断改进以服务于MRI研究社区。
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.
