Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians

• Published in: Journal of magnetic resonance imaging Vol. 53; no. 4; pp. 1015 - 1028
• Main Authors: Lin, Dana J., Johnson, Patricia M., Knoll, Florian, Lui, Yvonne W.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.04.2021; Wiley Subscription Services, Inc
• Subjects: Algorithms; Artificial Intelligence; Computational neuroscience; Data acquisition; Deep learning; Humans; Image acquisition; Image classification; Image processing; Image Processing, Computer-Assisted; Image quality; Image reconstruction; Image segmentation; Learning algorithms; Machine learning; Magnetic resonance imaging; Medical imaging; MRI; Neuroimaging; Radiography; Therapeutic applications; deep learning; MRI; image reconstruction

Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with recent breakthroughs applying deep‐learning models for data acquisition, classification problems, segmentation, image synthesis, and image reconstruction. With an eye towards clinical applications, we summari...