Field-inhomogeneity-corrected low-rank filtering of magnetic resonance spectroscopic imaging data

Yan Liu, Chao Ma, Bryan Clifford, Fan Lam, Curtis L. Johnson, Zhi Pei Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6422-6425
Number of pages4
ISBN (Electronic)9781424479290
DOIs
StatePublished - Nov 2 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Publication series

Name2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering
  • Medicine(all)

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  • Cite this

    Liu, Y., Ma, C., Clifford, B., Lam, F., Johnson, C. L., & Liang, Z. P. (2014). Field-inhomogeneity-corrected low-rank filtering of magnetic resonance spectroscopic imaging data. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 6422-6425). [6945098] (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6945098