Maryna Babayeva

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Free induction decay (FID) navigators were found to qualitatively detect rigid-body head movements, yet it is unknown to what extent they can provide quantitative motion estimates. Here, we acquired FID navigators at different sampling rates and simultaneously measured head movements using a highly accurate optical motion tracking system. This strategy(More)
trajectories (top) for translational (middle) and rotational motion (bottom). (b) Sagittal view from one subject before and after correction after performing translations in head-foot direction. FID navigator triggered acquisition of imaging navigators for retrospective head motion correction Maryna Babayeva, Alexander Loktyushin, Pavel Falkovskiy , Tobias(More)
shaking; (b) Changes in volumetric measurements and image quality due to motion correction). The p-value is shown as calculated with the Wilcoxon rank-sum test when comparing the volumes with and without correction. 1417 Prospective motion correction with FID-triggered image navigators Maryna Babayeva, Pavel Falkovskiy, Tom Hilbert, Guillaume Bonnier,(More)
Diffusion magnetic resonance imaging (dMRI) is a non-invasive method that allows connectivity mapping of the brain. However, despite major advances in this field, accurate inference of these patterns and its applicability within a clinical context is still in its early stages. This thesis describes a conceptually novel method for reconstructing neuronal(More)
motion correction pipeline. 2334 Retrospective rigid motion correction of undersampled MRI data Alexander Loktyushin, Maryna Babayeva, Daniel Gallichan, Gunnar Krueger, Klaus Scheffler, and Tobias Kober Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany, Siemens ACIT CHUV Radiology, Siemens Healthcare IM BM PI, & Department(More)
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