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.
Authors
- Jianjun Zhou (ORCID: https://orcid.org/0000-0003-4175-0513)
- Jingkai Zhou (ORCID: https://orcid.org/0000-0003-4629-0659)
- Liuhong Zhu (ORCID: https://orcid.org/0000-0003-1251-6744)
- Qing Hong (ORCID: https://orcid.org/0009-0006-6706-1387)
- Shaoxing Liu (ORCID: https://orcid.org/0009-0009-2074-8204)
- Mingkai Huang
- Yirong Zhou (ORCID: https://orcid.org/0000-0002-6710-7668)
- Xiaobo Qu (ORCID: https://orcid.org/0000-0002-8675-5820)
- Di Guo (ORCID: https://orcid.org/0000-0002-9910-5720)
- Jianzhong Lin (ORCID: https://orcid.org/0000-0001-8418-1176)
- Long Yuan (ORCID: https://orcid.org/0000-0002-3047-0295)
- Taishan Kang (ORCID: https://orcid.org/0000-0002-0507-5525)
- Jianshu Chen (ORCID: https://orcid.org/0000-0001-8216-2756)
- Ling Qian (ORCID: https://orcid.org/0000-0001-5661-1722)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0011
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00