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. 2022 Jun 14;2:929533. doi: 10.3389/fradi.2022.929533

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Copyright © 2022 Clement, Petr, Dijsselhof, Padrela, Pasternak, Dolui, Jarutyte, Pinter, Hernandez-Garcia, Jahn, Kuijer, Barkhof, Mutsaerts and Keil.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The effect of motion correction. (A) Perfusion image without motion correction; (B) The same perfusion image after motion correction. Data were obtained with pseudo-continuous labeling and 2D EPI readout without background suppression on a Siemens scanner. The original data had a single yaw rotation (subject turning the head from left to right). Motion artifacts can be easily recognized by prominent patterns of very high and very low (i.e., negative) signals next to each other in areas where the static tissue has high contrast differences — visible as rims around the brain edge and skull.