MRI artifacts are a common challenge that can impact image quality and diagnostic accuracy. This session focuses on the identification, causes, and correction of motion and wrap (aliasing) artifacts. Participants will review the primary types of MRI artifacts and examine how motion and data sampling errors contribute to image distortion. Key concepts such as slice over-sampling, No Frequency Wrap, and the Nyquist Theorem will be introduced in a practical context. Strategies to reduce artifacts—including patient management, parameter adjustments, and motion reduction sequences—will be discussed to support improved image quality and clinical outcomes.