CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation

TL;DR

CloudBrain-ReconAI is an online platform that facilitates MRI image reconstruction and quality assessment, enabling collaboration between engineers and radiologists through AI-powered tools and automatic analysis.

Contribution

This work introduces CloudBrain-ReconAI, a cloud-based platform for MRI reconstruction and image quality evaluation supporting AI algorithms and real-time radiologist feedback.

Findings

Supports online MRI image reconstruction with AI and compressed sensing.

Enables radiologists to score and mark images easily.

Provides automatic statistical analysis of image quality.

Abstract

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.