J Korean Soc Radiol.  2022 Nov;83(6):1229-1239. 10.3348/jksr.2022.0156.

Applications of Artificial Intelligence in MR Image Acquisition and Reconstruction

• Kang J
• Nam Y

• KMID: 2536813
• DOI: http://doi.org/10.3348/jksr.2022.0156

Abstract

Recently, artificial intelligence (AI) technology has shown potential clinical utility in a wide range of MRI fields. In particular, AI models for improving the efficiency of the image acquisition process and the quality of reconstructed images are being actively developed by the MR research community. AI is expected to further reduce acquisition times in various MRI protocols used in clinical practice when compared to current parallel imaging techniques. Additionally, AI can help with tasks such as planning, parameter optimization, artifact reduction, and quality assessment. Furthermore, AI is being actively applied to automate MR image analysis such as image registration, segmentation, and object detection. For this reason, it is important to consider the effects of protocols or devices in MR image analysis. In this review article, we briefly introduced issues related to AI application of MR image acquisition and reconstruction.

Keyword

Magnetic Resonance Imaging; Artificial Intelligence; Deep Learning; Medical Image Processing; Image Reconstruction