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Abstract #2158

Segmented Thick-Slab 3D Brain DWI with Motion-Compensated Diffusion Encoding Evaluated on an MRI System with Ultrahigh Gradient Performance.

Jens Johansson1,2 and Stephan E. Maier3
1Medical Radiation Sciences, Clinical Scienes, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Diffusion Acquisition, Diffusion Acquisition, Moment Nulling, 3D

Motivation: Performing diffusion imaging with a segmented 3D acquisition rather than with a 2D multi-slice acquisition promises higher SNR and higher spatial resolution, provided phase variations that arise from motion during diffusion encoding can be controlled.

Goal(s): The goal is to assess the effectiveness of gradient moment nulling and ultrahigh gradient performance to combat motion-related phase shifts produced by diffusion encoding during segmented 3D scanning.

Approach: A 3D diffusion imaging sequence with integrated 1D navigators for phase analysis was tested in normal subjects.

Results: The combination of gradient moment nulling and ultrahigh gradient effectively reduces motion-related phase variations and enables in-vivo 3D diffusion imaging.

Impact: Gradient moment nulling combined with ultrahigh gradient effectively suppresses motion-related phase shifts produced by diffusion encoding that otherwise interfere with spatial encoding during segmented scanning, potentially enabling artifact-free in-vivo 3D DWI at unprecedented spatial resolution.

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