@inproceedings{d067e32522df4da592d2f69cdceaeeda,
title = "Field-inhomogeneity-corrected low-rank filtering of magnetic resonance spectroscopic imaging data",
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.",
author = "Yan Liu and Chao Ma and Bryan Clifford and Fan Lam and Johnson, {Curtis L.} and Liang, {Zhi Pei}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 ; Conference date: 26-08-2014 Through 30-08-2014",
year = "2014",
month = nov,
day = "2",
doi = "10.1109/EMBC.2014.6945098",
language = "English (US)",
series = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6422--6425",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
address = "United States",
}