• DocumentCode
    3405546
  • Title

    Three-pool model vs. nonnegative least squares algorithm for myelin water quantification

  • Author

    Hyunjin Chung ; Yoonho Nam ; Donghyun Kim ; Dosik Hwang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    7-10 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, comparison of two T2 based analysis technique for measurements of myelin content, regularized non-negative least squares (rNNLS) algorithm and three-pool modeling method, have been presented. Simulation and in vivo experiments were performed for the comparison of the two techniques. For fair comparison, both discretely and continuously distributed T2 spectrum were considered in the simulations. The simulation and in vivo experiments have been demonstrated that three-pool model is more appropriate method for robust myelin water quantification.
  • Keywords
    biomedical MRI; least squares approximations; neurophysiology; myelin water quantification; regularized non-negative least squares algorithm; three-pool model; Artificial neural networks; Educational institutions; Estimation; Fires; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on
  • Conference_Location
    Seoul
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-61284-856-3
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2011.6026476
  • Filename
    6026476