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
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;
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
Conference_Location :
Turin
DOI :
10.1109/MeMeA.2015.7145229