• DocumentCode
    1507875
  • Title

    Increasing the Signal-to-Noise Ratio by Using Vertically Stacked Phased Array Coils for Low-Field Magnetic Resonance Imaging

  • Author

    Dandan Liang ; Hon Tat Hui ; Tat Soon Yeo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    16
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1150
  • Lastpage
    1156
  • Abstract
    A new method is introduced to increase the signal-to-noise ratio (SNR) in low-field magnetic resonance imaging (MRI) systems by using a vertically stacked phased coil array. It is shown theoretically that the SNR is increased with the square root of the number of coils in the array if the array signals are properly combined to remove the mutual coupling effect. Based on this, a number of vertically stacked phased coil arrays have been designed and characterized by a numerical simulation method. The performance of these arrays confirms the significant increase of SNR by increasing the number of coils in the arrays. This provides a simple and efficient method to improve the SNR for low-field MRI systems.
  • Keywords
    biomedical MRI; image denoising; image resolution; medical image processing; numerical analysis; low-field MRI systems; low-field magnetic resonance imaging systems; mutual coupling effect; numerical simulation method; signal-noise ratio; square root; vertically stacked phased array coils; Arrays; Coils; Magnetic resonance imaging; Mutual coupling; Numerical analysis; Signal to noise ratio; Magnetic resonance imaging (MRI); mutual coupling; numerical method; phased coil array; signal combining; signal-to-noise ratio (SNR); Computer Simulation; Equipment Design; Magnetic Resonance Imaging; Phantoms, Imaging; Signal Processing, Computer-Assisted; Signal-To-Noise Ratio;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2012.2197633
  • Filename
    6194329