Comparison of signal peak detection algorithms for self-gated cardiac cine MRI

G. M. Nijm, Alan Varteres Sahakian, S. Swiryn, Andrew Christian Larson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Self-gating (SG) is a cardiac MRI technique to synchronize data acquisition to the cardiac cycle based upon MR signal triggers as opposed to conventional ECG triggers. Fourteen healthy subjects underwent cardiac MRI scans in four different orientations: two chamber, three chamber, four chamber, and short axis. SG trigger times were computed using two methods, first difference and template matching, and ECG trigger times were also recorded for comparison. The root-mean-square (RMS) error was used to evaluate performance, defined as the variability relative to the mean difference between SG trigger times and ECG trigger times. The mean RMS error was lower for template matching than first difference approach for all scan orientations; the improvement in RMS error was statistically significant for all orientations except short axis. In conclusion, compared to the first difference approach, template matching improved the accuracy of trigger detection for two, three, and four chamber SG cardiac MRI scans.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology 2007, CAR 2007
Pages407-410
Number of pages4
DOIs
StatePublished - Dec 1 2007
EventComputers in Cardiology 2007, CAR 2007 - Durham, NC, United States
Duration: Sep 30 2007Oct 3 2007

Publication series

NameComputers in Cardiology
Volume34
ISSN (Print)0276-6574

Other

OtherComputers in Cardiology 2007, CAR 2007
CountryUnited States
CityDurham, NC
Period9/30/0710/3/07

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ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

Cite this

Nijm, G. M., Sahakian, A. V., Swiryn, S., & Larson, A. C. (2007). Comparison of signal peak detection algorithms for self-gated cardiac cine MRI. In Computers in Cardiology 2007, CAR 2007 (pp. 407-410). [4745508] (Computers in Cardiology; Vol. 34). https://doi.org/10.1109/CIC.2007.4745508