Synopsis

Machine learning techniques provide intriguing possibilities to improve the MR imaging process from acquisition to image analysis. Machine learning techniques provide the possibility to make the acquisition process more efficient by reducing scan time or more consistent with automated control. Learned techniques also provide more options for reconstructing under sampled datasets. Perhaps the most prevalent use of learned techniques at this time is for the analysis of images for tasks ranging from quality control to diagnosis. These topics will be explored and addition to looking forward to see how the application of machine learning to MRI may change over time.

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