Compressed Sensing with Non-Uniform Fast Fourier Transform for Radial Ultra-Short Echo Time (UTE) MRI
This paper proposes a compressive sensing (CS) method for radial Magnetic Resonance Imaging (MRI) using nonuniform fast fourier transform (NUFFT). With the Ultra-short Echo Time (UTE) technology, radial MRI can reduce scan time, reduce artifacts, and achieve high imaging quality. We show that NUFFT-CS reconstruction from under-sampled radial k-space measurements achieves better image quality than the zero-filling (ZF) approaches and the existing CS approach that uses regridding. Experiments using phantom and animal samples have verified that the NUFFT-CS achieves better performance than the NUFFT-ZF, regrid-ZF, and regrid-CS, especially at small sampling rates.
X. Yang et al., "Compressed Sensing with Non-Uniform Fast Fourier Transform for Radial Ultra-Short Echo Time (UTE) MRI," Proceedings of the 2015 IEEE International Symposium on Biomedical Imaging (2015, New York, NY), pp. 918-921, IEEE Computer Society, Apr 2015.
The definitive version is available at https://doi.org/10.1109/ISBI.2015.7164020
2015 IEEE International Symposium on Biomedical Imaging, ISBI (2015: Apr. 16-19, New York, NY)
Electrical and Computer Engineering
University of Missouri. Inter-Campus Program
Missouri University of Science and Technology. Intelligent Systems Center
Keywords and Phrases
Compressed sensing; Fast Fourier transforms; Image quality; Medical imaging; Signal reconstruction; Compressive sensing; Echo time; Gridding; Imaging quality; Non-uniform fast Fourier transforms; Small sampling; Under sampled; Zero filling; Magnetic resonance imaging; Non-Uniform Fast Fourier Transform (NUFFT); Radial MRI; re-gridding; Ultra-short echo time (UTE)
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International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2015 IEEE Computer Society, All rights reserved.
01 Apr 2015