Dynamic MRI with compressed sensing imaging using temporal correlations

Jim Ji, Tao Lang

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

21 Citations (Scopus)

Abstract

Compressed Sensing (CS) is a recently emerged technique for reconstructing signals from data sampled under the Nyquist rate. It takes advantage of the signal sparsity in a transformed domain to reconstruct high-resolution signals from reduced data. This paper presents a CS imaging method for dynamic magnetic resonance imaging. Specifically, a difference operator is applied to the temporal data frames to enhance the spatial signal sparsity for CS reconstruction. The new algorithm method was assessed using simulated and in-vivo dynamic imaging data. The result shows that the new method can obtain higher resolution than zero-padded Fourier reconstruction and the Keyhole method, and it results in reduced artifacts and noise than conventional CS reconstruction where no temporal information is used. It also shows that the new CS dynamic imaging method does not suffer substantial signal-to-noise loss.

Original languageEnglish
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages1613-1616
Number of pages4
DOIs
Publication statusPublished - 10 Sep 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: 14 May 200817 May 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
CountryFrance
CityParis
Period14/5/0817/5/08

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Keywords

  • Compressed sensing
  • Dynamic MRI image reconstruction
  • MRI

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Ji, J., & Lang, T. (2008). Dynamic MRI with compressed sensing imaging using temporal correlations. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (pp. 1613-1616). [4541321] (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). https://doi.org/10.1109/ISBI.2008.4541321