云脑-ReconAI：用于核磁共振成像重建和放射医师图像质量评估的云计算平台

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Cloud Computing Pub Date : 2024-10-08 DOI:10.1109/TCC.2024.3476418

Yirong Zhou;Chen Qian;Jiayu Li;Zi Wang;Yu Hu;Biao Qu;Liuhong Zhu;Jianjun Zhou;Taishan Kang;Jianzhong Lin;Qing Hong;Jiyang Dong;Di Guo;Xiaobo Qu

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CloudBrain-ReconAI: A Cloud Computing Platform for MRI Reconstruction and Radiologists’ Image Quality Evaluation

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 for fast imaging (Cartesian and non-Cartesian sampling) and high-resolution diffusion imaging. Through visiting the website, radiologists can easily score and mark images. Then, automatic statistical analysis will be provided.

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来源期刊

IEEE Transactions on Cloud Computing Computer Science-Software

CiteScore

9.40

自引率

6.20%

发文量

167

期刊介绍： The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.