• DocumentCode
    2978508
  • Title

    Automated cardiac self-gated radial CMRI

  • Author

    Xiahan Yang ; Zheng, Yahong Rosa ; Lixin Ma

  • Author_Institution
    Dept. of ECE, Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2015
  • fDate
    7-9 May 2015
  • Firstpage
    365
  • Lastpage
    368
  • Abstract
    Distortions in electrocardiogram (ECG) signals affect the image quality and increase scan time of Cardiac Magnetic Resonance Imaging (CMRI) exams. This study proposes an alternative method of acquiring CMRI cine images in mouse heart using a self-gated Ultra-short Echo Time (UTE) protocol. In our method, a bandpass filter and a lowpass filter are adopted to extract the self-gated signals from the center of the raw no-gated k-space measurements, A live mouse has been tested as the example to verify the method. The results demonstrated that this method could be used for reconstruction of the no-gated UTE CMRI measurements without using of external ECG signals.
  • Keywords
    bioelectric potentials; biomedical MRI; electrocardiography; medical image processing; CMRI cine image acquisition; a self-gated ultrashort echo time protocol; automated cardiac self-gated radial CMRI; bandpass filter; cardiac magnetic resonance imaging; electrocardiogram signal distortions; image quality; lowpass filter; mouse heart; no-gated UTE CMRI measurements; Data mining; Electrocardiography; Image reconstruction; Magnetic resonance; Magnetic resonance imaging; Mice; Noise; Self-Gated (SG); bandpass filter; radial CMRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
  • Conference_Location
    Turin
  • Type

    conf

  • DOI
    10.1109/MeMeA.2015.7145229
  • Filename
    7145229