Paper
17 February 2020 Quantitative comparison of Gegenbauer, filtered Fourier, and Fourier reconstruction for MRI
Author Affiliations +
Proceedings Volume 11232, Multimodal Biomedical Imaging XV; 112320L (2020) https://doi.org/10.1117/12.2547583
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
Magnetic Resonance Images are reconstructed from a finite number of samples in k-space. The accuracy of these reconstructions are crucial for segmentation and diagnosis. However, the nature of the reconstruction leads inevitably to Gibbs ringing. In this paper, we quantitatively compare the filtered Fourier and Gegenbauer ringing-suppressing reconstruction methods. The Gegenbauer method yields an order of magnitude better MSE than the other approaches we consider, and a 10 dB improvement in PSNR. These results confirm the Gegenbauer reconstruction as the most accurate choice in inverse problems where data is reconstructed from a finite number of Fourier coefficients.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brid Roberts, Min Wan, Simon P. Kelly, and John J. Healy "Quantitative comparison of Gegenbauer, filtered Fourier, and Fourier reconstruction for MRI", Proc. SPIE 11232, Multimodal Biomedical Imaging XV, 112320L (17 February 2020); https://doi.org/10.1117/12.2547583
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Cited by 1 scholarly publication.
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KEYWORDS
Magnetic resonance imaging

Reconstruction algorithms

Image filtering

Edge detection

Image segmentation

Detection and tracking algorithms

Fourier transforms

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