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

Motivation: MRI suffers from long data acquisition times. MRI reconstruction requires radiologist evaluation. The isolation of image data across different healthcare institutions impedes collaboration. Moreover, there is a lack of integrated platforms for image processing and analysis that can directly interface with MRI acquisition devices. Goal(s): To address the existing challenges in medical image processing. Approach: Integrating cloud computing platform for reconstruction and evaluation, which is starting from the k-space raw data for MRI acquisition devices. Results: CloudBrain-ReconAI offers a seamless service from the k-space raw data in MRI devices to reconstruction and evaluation. Impact: The integration of direct k-space rawdata acquisition from MRI devices into CloudBrain-ReconAI enhances the efficiency and timeliness of MRI data processing, facilitating faster clinical decisions and research advancements.