• DocumentCode
    754347
  • Title

    Single-shot MR imaging using trapezoidal-gradient-based Lissajous trajectories

  • Author

    Feng, Hanhua ; Gu, Hong ; Silbersweig, David ; Stern, Emily ; Yang, Yihong

  • Author_Institution
    Dept. of Psychiatry, Weill Med. Coll. of Cornell Univ., New York, NY, USA
  • Volume
    22
  • Issue
    8
  • fYear
    2003
  • Firstpage
    925
  • Lastpage
    932
  • Abstract
    A novel single-shot trapezoidal-gradient-based Lissajous trajectory is described and implemented on a 3-tesla magnetic resonance (MR) scanner. A feature of this trajectory is that its sampling points are located on a nonequidistant rectangular grid, which permits the usage of one-dimensional optimal algorithms to increase the robustness and speed of image reconstruction. Another advantage of the trajectory is that two images with different effective echo times can be obtained within a single excitation, which might be used for fast T2* mapping, in functional MR imaging scanning of brain activity associated with mental processes. Potential artifacts in reconstructed images were investigated and methods for suppressing these artifacts were developed. Experiments on normal subjects at rest and during brain activation were performed to demonstrate the feasibility of the new sequence.
  • Keywords
    biomedical MRI; brain; image reconstruction; medical image processing; spin-spin relaxation; 3 tesla; T/sub 2//sup */ mapping; artifacts suppression; brain activity; echo times; functional MR imaging scanning; image artifacts; image reconstruction; mental processes; nonequidistant rectangular grid; one-dimensional optimal algorithms; reconstruction speed; sampling points; single-shot MR imaging; trapezoidal-gradient-based Lissajous trajectories; Biomedical imaging; Brain; Image reconstruction; Image sampling; Laboratories; Magnetic resonance; Magnetic resonance imaging; Neuroimaging; Psychiatry; Spirals; Algorithms; Artifacts; Brain; Brain Mapping; Computer Simulation; Humans; Image Enhancement; Magnetic Resonance Imaging; Neurons; Psychomotor Performance; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2003.815902
  • Filename
    1216216