Automated Cardiac Self-Gated Radial CMRI
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.
Recommended Citation
X. Yang et al., "Automated Cardiac Self-Gated Radial CMRI," Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications (2015, Turin, Italy), Institute of Electrical and Electronics Engineers (IEEE), May 2015.
The definitive version is available at https://doi.org/10.1109/MeMeA.2015.7145229
Meeting Name
2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA (2015: May 7-9, Turin, Italy)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
University of Missouri Inter-Discipline Inter-Campus Program
Missouri University of Science and Technology. Intelligent Systems Center
University of Missouri Research Board
Keywords and Phrases
Bandpass filters; Electrocardiography; Low pass filters; Magnetic resonance imaging; Mammals; Cardiac magnetic resonance imaging; Cine images; ECG signals; Echo time; Electrocardiogram signal; Mouse heart; Radial CMRI; Self-Gated (SG); Biomedical signal processing
International Standard Book Number (ISBN)
978-1-4799-6477-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 May 2015
Comments
This work was supported by the inter-discipline inter-campus program of University of Missouri, the Intelligent System Center of Missouri University of Science and Technology, and the University of Missouri Research Board.