Improve myocardial T1 measurement in rats with a new regression model: Application to myocardial infarction and beyond

Haosen Zhang, Qing Ye, Jie Zheng, Erik B. Schelbert, T. Kevin Hitchens, Chien Ho

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Purpose To improve myocardial and blood T1 measurements with a multi-variable T1 fitting model specifically modified for a segmented multi-shot FLASH sequence. Methods The proposed method was first evaluated in a series of phantoms simulating realistic tissues, and then in healthy rats (n = 8) and rats with acute myocardial infarction (MI) induced by coronary artery ligation (n = 8). Results By taking into account the saturation effect caused by sampling α-train pulses, and the longitudinal magnetization recovery between readouts, our model provided more accurate T1 estimate than the conventional three-parameter fit in phantoms under realistic gating procedures (error of -0.42 ± 1.73% versus -3.40 ± 1.46%, respectively, when using the measured inversion efficiency, β). The baseline myocardial T1 values in healthy rats was 1636.3 ± 23.4 ms at 7 Tesla. One day postligation, the T1 values in the remote and proximal myocardial areas were 1637.5 ± 62.6 ms and 1740.3 ± 70.5 ms, respectively. In rats with acute MI, regional differences in myocardial T1 values were observed both before and after the administration of gadolinium. Conclusion The proposed method has improved T1 estimate as validated in phantoms and could advance applications in rodents using quantitative myocardial T1 mapping. Magn Reson Med 72:737-748, 2014.

Original languageEnglish
Pages (from-to)737-748
Number of pages12
JournalMagnetic resonance in medicine
Volume72
Issue number3
DOIs
StatePublished - Sep 2014

Keywords

  • acute myocardial infarction
  • rats
  • segmented multi-shot FLASH

Fingerprint

Dive into the research topics of 'Improve myocardial T1 measurement in rats with a new regression model: Application to myocardial infarction and beyond'. Together they form a unique fingerprint.

Cite this