• DocumentCode
    2852806
  • Title

    Improved MR metabolite image reconstruction

  • Author

    Bao, Yufang ; Maudsley, Andrew A.

  • Author_Institution
    Dept. of Radiol., Miami Univ., FL, USA
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    A method is proposed for improved reconstruction of volumetric magnetic resonance spectroscopic imaging (MRSI) of the brain. This data is typically under-sampled, resulting in spatial blurring; however, resolution at object boundaries are between different tissue regions can be improved by incorporating a priori spatial information obtained form high-resolution tissue-segmented MRI data with a parametric model of the acquired data.
  • Keywords
    biological tissues; biomedical MRI; brain; image reconstruction; image resolution; magnetic resonance spectroscopy; medical image processing; MR metabolite image reconstruction; brain; magnetic resonance spectroscopic imaging; resolution; spatial blurring; tissue regions; Frequency; Image reconstruction; Magnetic resonance; Magnetic resonance imaging; Radiology; Reconstruction algorithms; Sampling methods; Signal to noise ratio; Spatial resolution; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289365
  • Filename
    1289365