Keywords: Image Reconstruction, Image Reconstruction
Motivation: Fast imaging is crucial in MRI for various applications. This study proposes a novel method to reconstruct highly undersampled MRI data for faster and higher-quality imaging.
Goal(s): Reconstruct the highly undersampled 3D golden-angle and spiral radial MRI data.
Approach: We proposed a novel image reconstruction method for 3D radial MRI data at high acceleration rates, based on the spherical Fourier-Legendre transform. This method reconstructs images directly in the spherical coordinates without using interpolation operator in k-space domain.
Results: The feasibility of the proposed method is proven by reconstructing highly undersampled 3D golden-angle and spiral radial data of digital Shepp-Logan and in-vitro ACR phantoms.
Impact: A nivel image reconstruction method for fast and high-quality radial MRI imaging. It focuses on highly undersampled 3D golden-angle and spiral radial MRI data, reconstructing images directly in spherical coordinates without any frequency interpolation.
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