Abstract #5127

Retrospective Motion Correction at Ultra-High Field using SAMER and Reflected Power

YANTU HUANG¹, Daniel Polak², Thomas Yu^3,4,5, Antoine Klauser ³, Natalia Montemayor ^3,4,5, Jocelyn Philippe ^3,4,5, Emilie Sleight^6,7, Tobias Kober², Danniel Popp⁸, Daniel Nicolas Splitthoff², Huixin Tan¹, Gian Franco Piredda³, and Tom Hilbert^3,4,5

¹Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, ²Siemens Healthineers AG, Forchheim, Germany, ³Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, ⁴Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁵LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, ⁶Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, ⁷CIBM Center for Biomedical Imaging, Lausanne, Switzerland, ⁸Siemens Healthcare AB, Stockholm, Sweden

Synopsis

Keywords: Motion Correction, High-Field MRI, Ultra-high-Field MRI, Retrospective Motion Correction, Image Reconstruction, Neuro, high resolution imaging

Motivation: Ultra-high field imaging reveals small details not visible at lower fields, but higher resolution increases motion sensitivity.

Goal(s): To minimize motion artifacts in ultra-high field acquisitions by retrospectively correcting k-space data and testing if local transmit coils' reflected transmit power can further improve motion correction.

Approach: For the first time, a Scout Accelerated Motion Estimation and Reduction (SAMER) reconstruction was used at 7T. In addition, the method was extended by using reflected transmit power, improving the temporal resolution of the estimated motion parameters.

Results: SAMER significantly reduced motion artifacts compared to conventional reconstruction, using reflected power further enhanced image quality in some cases.

Impact: Retrospectively reducing motion artifacts in ultra-high field scans enhances diagnostic usefulness, especially for high-resolution acquisitions to detect small focal pathology, a typical clinical use case of ultra-high field scanners.

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