Patient motion is a common problem in MRI. Both prospective and retrospective schemes can be inefficient if they use navigators. Therefore, self-navigation without any data redundancy is preferable. In this study, we propose a simple and robust motion detection scheme that is free from stringent assumptions. This is especially important while imaging the head because the motion patterns are unpredictable. The corrected and uncorrected images were reviewed by two neuroradiologists in terms of osseous distinction (in reference to CT), sharpness and artifact-freeness. The method is able to increase osseous distinction and sharpness without increasing artifacts. This offers substantial clinical utility.
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