| Summary: | 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.
|
|---|