• DocumentCode
    257766
  • Title

    Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing

  • Author

    Huisu Yoon ; Sung-Hong Park ; Jong Chul Ye

  • Author_Institution
    Dept. of Bio & Brain Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    483
  • Lastpage
    486
  • Abstract
    One of important applications of dynamic contrast-enhanced (DCE) MRI is to observe brain tissue dynamics. In this work, we applied a combined approach of dynamic compressed sensing (CS) and parallel imaging for volumetric DCE-MRI. The combination of the parallel imaging with CS reconstruction has been a topic of significant interest in MR community due to its potential for further acceleration in MR acquisition. In particular, the application to the 3D volumetric imaging has great potential due to the introduction of additional dimension along slice direction. Here, we proposed two different combinations depending on their encoding schemes: i.e. 3D encoding and simultaneous multislice imaging (SMS) using multiband RF pulses. Experiments show that a proper combination of CS and parallel imaging can effectively suppress noise propagation and provide improved spatio-temporal resolution.
  • Keywords
    biomedical MRI; brain; compressed sensing; medical image processing; CS reconstruction; DCE-MRI; MR community; MR images; SMS; brain tissue dynamics; contrast-enhanced MRI; dynamic compressed sensing; dynamic contrast enhanced; noise propagation supression; parallel imaging; simultaneous multislice imaging; spatio temporal resolution; volumetric imaging; Compressed sensing; Encoding; Heuristic algorithms; Image reconstruction; Image resolution; Imaging; Three-dimensional displays; 3D; DCE-MRI; SMS imaging; compressed sensing; low-rank; multi-band RF pulse; parallel imaging; patch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032164
  • Filename
    7032164