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Author Yan Liu ♦ Chao Ma ♦ Clifford, B. ♦ Fan Lam ♦ Johnson, C.L. ♦ Zhi-Pei Liang
Sponsorship IEEE Eng. Med. Biol. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Nonhomogeneous media ♦ Noise reduction ♦ Imaging ♦ In vivo ♦ Image resolution ♦ Signal to noise ratio ♦ Nuclear magnetic resonance
Abstract Low signal-to-noise ratio has been a major problem in magnetic resonance spectroscopic imaging (MRSI). A low-rank approximation based denoising method has been recently proposed to address this problem by exploiting the partial separability properties of MRSI data. However, field inhomogeneity, an unavoidable complication in practice, can violate the partial separability assumption and thus degrade the denoising performance of the low-rank filtering method. This paper presents a field-inhomogeneity-corrected low-rank filtering method to achieve more robust denoising of practical MRSI data. In vivo experiment results have been used to demonstrate the effectiveness of the proposed method.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Clifford, B.; Fan Lam; Zhi-Pei Liang) || Beckman Inst. for Adv. Sci. & Technol., Univ. of Illinois, Urbana, IL, USA (Yan Liu; Chao Ma; Johnson, C.L.)
ISBN 9781424479290
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-08-26
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 907.06 kB
Page Count 4
Starting Page 6422
Ending Page 6425


Source: IEEE Xplore Digital Library