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Abstract #3355

Stretched Radial Trajectory Design for Improved K-space Coverage and Effective Image Resolution

Li Song Gong1,2, Xiaozhi Cao2,3, Zihan Zhou2,3, Congyu Liao2,3, Qing Li4, Yang Yang5, and Kawin Setsompop2,3
1Department of Physics and Astronomy, University of California, Irvine, Irvine, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 4MR Research Collaborations, Siemens Healthineers Ltd., Shanghai, China, 5Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

Synopsis

Keywords: New Trajectories & Spatial Encoding Methods, New Trajectories & Spatial Encoding Methods

Motivation: Conventional radial sampling cannot cover full k-space, therefore reducing effective resolution. This study aims to enhance k-space coverage without increasing scan times.

Goal(s): Develop and validate a “stretched radial” sampling trajectory to improve k-space coverage and image resolution while keeping gradient performance and time constraints.

Approach: Design a stretched trajectory scheme, implementing on 2D, 3D, and spiral projection sampling, and compared with conventional methods through phantom and in-vivo MRI experiments.

Results: The proposed method successfully enhanced resolution and image sharpness without increasing acquisition time, effectively improving details for both phantom and in-vivo data.

Impact: The stretched radial trajectory enables sharper MRI imaging without longer scan times, benefiting clinicians with improved diagnostic detail, and requires minimal efforts to implement. This innovation enhances imaging in low-performance MRI systems, potentially extending advanced diagnostics to underserved regions.

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Keywords