Compressed Sensing with Non-Uniform Fast Fourier Transform for Radial Ultra-Short Echo Time (UTE) MRI

Abstract

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.

Meeting Name

2015 IEEE International Symposium on Biomedical Imaging, ISBI (2015: Apr. 16-19, New York, NY)

Department(s)

Electrical and Computer Engineering

Sponsor(s)

University of Missouri. Inter-Campus Program
Missouri University of Science and Technology. Intelligent Systems Center

Comments

The work was supported by the Inter-Discipline Inter-Campus program of University of Missouri and the Intelligent System Center of Missouri University of Science and Technology.

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)

International Standard Book Number (ISBN)

978-1-4799-2374-8

International Standard Serial Number (ISSN)

1945-7928; 1945-8452

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2015 IEEE Computer Society, All rights reserved.

Publication Date

01 Apr 2015

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