Improved reconstruction for MR spectroscopic imaging

Bao Yufang, Andrew A Maudsley

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Sensitivity limitations of in vivo magnetic resonance spectroscopic imaging (MRSI) require that the extent of spatialfrequency (k-space) sampling be limited, thereby reducing spatial resolution and increasing the effects of Gibbs ringing that is associated with the use of Fourier transform reconstruction. Additional problems occur in the spectral dimension, where quantitation of individual spectral components is made more difficult by the typically low signal-to-noise ratios, variable lineshapes, and baseline distortions, particularly in areas of significant magnetic field inhomogeneity. Given the potential of in vivo MRSI measurements for a number of clinical and biomedical research applications, there is considerable interest in improving the quality of the metabolite image reconstructions. In this report, a reconstruction method is described that makes use of parametric modeling and MRI-derived tissue distribution functions to enhance the MRSI spatial reconstruction. Additional preprocessing steps are also proposed to avoid difficulties associated with image regions containing spectra of inadequate quality, which are commonly present in the in vivo MRSI data.

Original languageEnglish
Pages (from-to)686-695
Number of pages10
JournalIEEE Transactions on Medical Imaging
Volume26
Issue number5
DOIs
StatePublished - May 1 2007

Fingerprint

Magnetic resonance
Magnetic Resonance Imaging
Imaging techniques
Computer-Assisted Image Processing
Signal-To-Noise Ratio
Fourier Analysis
Tissue Distribution
Magnetic Fields
Metabolites
Image reconstruction
Magnetic resonance imaging
Distribution functions
Biomedical Research
Signal to noise ratio
Fourier transforms
Tissue
Magnetic fields
Sampling

Keywords

  • Brain metabolite images
  • Image reconstruction
  • Magnetic resonance spectroscopic imaging (MRSI)

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Improved reconstruction for MR spectroscopic imaging. / Yufang, Bao; Maudsley, Andrew A.

In: IEEE Transactions on Medical Imaging, Vol. 26, No. 5, 01.05.2007, p. 686-695.

Research output: Contribution to journalArticle

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