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Maxim Zaitsev

Researcher at University of Freiburg

Publications -  221
Citations -  6331

Maxim Zaitsev is an academic researcher from University of Freiburg. The author has contributed to research in topics: Imaging phantom & Iterative reconstruction. The author has an hindex of 37, co-authored 204 publications receiving 5488 citations. Previous affiliations of Maxim Zaitsev include University Medical Center Freiburg & Medical University of Vienna.

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Motion artifacts in MRI: A complex problem with many partial solutions.

TL;DR: The origins of motion artifacts are reviewed and current mitigation and correction methods are presented, with a strong emphasis on explaining the physics behind the occurrence of such artifacts, with the aim of aiding artifact detection and mitigation in particular clinical situations.
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Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system.

TL;DR: A fully integrated method for prospective correction of arbitrary rigid body motion employing an external motion tracking device is demonstrated for the first time and the accuracy of motion correction is improved compared to previous approaches.
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Time-resolved 3D MR velocity mapping at 3T: Improved navigator-gated assessment of vascular anatomy and blood flow

TL;DR: An improved image acquisition and data‐processing strategy for assessing aortic vascular geometry and 3D blood flow at 3T is evaluated.
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Point spread function mapping with parallel imaging techniques and high acceleration factors: fast, robust, and flexible method for echo-planar imaging distortion correction.

TL;DR: Improvements of the point spread function (PSF) mapping approach are presented, which enable reliable and fully automated distortion correction of echo‐planar images at high field strengths and is fully compatible with EPI acquisitions using parallel imaging.
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Prospective motion correction in brain imaging: a review.

TL;DR: The fundamentals of prospective motion correction are described and the latest developments in its application to brain imaging and spectroscopy are reviewed, which have potential to make a large impact in clinical routine.