• DocumentCode
    2373249
  • Title

    Cramér-rao bound analysis of echo time selection for 1H-MR spectroscopy

  • Author

    Nguyen, Hien M. ; Gahvari, Zhubin J. ; Haldar, Justin P. ; Do, Minh N. ; Liang, Zhi-Pei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2692
  • Lastpage
    2695
  • Abstract
    The choice of echo time (TE) is a complicated and controversial issue in proton MR spectroscopy, and represents a balancing act between signal-to-noise ratio and signal complexity. The TE values used in previous literature were selected either heuristically or based on limited empirical studies. In this work, we reconsider this problem from an estimation theoretic perspective. Specifically, we analyze the Cramer-Rao lower bound on estimated spectral parameters as a function of TE, which serves as a metric to quantify the reliability of the estimation procedure. This analysis reveals that a good choice of TE often depends on the particular metabolite of interest, and is a function of both the coupling properties of the metabolites and the general complexity of the spectrum.
  • Keywords
    biochemistry; biomedical MRI; 1H-MR spectroscopy; Cramer-Rao bound analysis; coupling property; echo time selection; estimated spectral parameters; general spectrum complexity; metabolite; proton magnetic resonance spectroscopy; signal complexity; signal-to-noise ratio; Algorithms; Automatic Data Processing; Brain; Brain Mapping; Glutamic Acid; Glutamine; Humans; Magnetic Resonance Spectroscopy; Models, Statistical; Normal Distribution; Signal Processing, Computer-Assisted; Software; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332450
  • Filename
    5332450