The quality of data that can be acquired using magnetic resonance imaging (MRI) is constantly improving. Historically, much effort has been invested into optimizing image quality and into minimizing the level of signal artifact in the images. Nevertheless, some level of artifact is inevitable in data from even the most modern MRI scanners. This chapter seeks to highlight the most common distortions and signal corruptions that are encountered in MRI data. Some of these artifacts can be minimized during acquisition — others may be solved during image reconstruction, or as a post-hoc processing step. Regardless, it is important for the image analyst to be able to recognize common artifacts and, ideally, to be able to minimize, eliminate, or avoid them.

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