Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system

Xiaoyong Zhang, Bensheng Qiu, Zijun Wei, Fei Yan, Caiyun Shi, Shi Su, Xin Liu, Jim Ji, Guoxi Xie

Research output: Contribution to journalArticle

Abstract

Purpose: To develop and assess a three-dimensional (3D) self-gated technique for the evaluation of myocardial infarction (MI) in mouse model without the use of external electrocardiogram (ECG) trigger and respiratory motion sensor on a 3T clinical MR system. Methods: A 3D T1-weighted GRE sequence with stack-of-stars sampling trajectories was developed and performed on six mice with MIs that were injected with a gadolinium-based contrast agent at a 3T clinical MR system. Respiratory and cardiac self-gating signals were derived from the Cartesian mapping of the k-space center along the partition encoding direction by bandpass filtering in image domain. The data were then realigned according to the predetermined self-gating signals for the following image reconstruction. In order to accelerate the data acquisition, image reconstruction was based on compressed sensing (CS) theory by exploiting temporal sparsity of the reconstructed images. In addition, images were also reconstructed from the same realigned data by conventional regridding method for demonstrating the advantageous of the proposed reconstruction method. Furthermore, the accuracy of detecting MI by the proposed method was assessed using histological analysis as the standard reference. Linear regression and Bland-Altman analysis were used to assess the agreement between the proposed method and the histological analysis. Results: Compared to the conventional regridding method, the proposed CS method reconstructed images with much less streaking artifact, as well as a better contrast-to-noise ratio (CNR) between the blood and myocardium (4.1 ± 2.1 vs. 2.9 ± 1.1, p = 0.031). Linear regression and Bland-Altman analysis demonstrated that excellent correlation was obtained between infarct sizes derived from the proposed method and histology analysis. Conclusion: A 3D T1-weighted self-gating technique for mouse cardiac imaging was developed, which has potential for accurately evaluating MIs in mice at 3T clinical MR system without the use of external ECG trigger and respiratory motion sensor.

Original languageEnglish
Article numbere0189286
JournalPLoS One
Volume12
Issue number12
DOIs
Publication statusPublished - 1 Dec 2017

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Compressed sensing
myocardial infarction
Image reconstruction
Electrocardiography
Linear regression
animal models
Myocardial Infarction
image analysis
Imaging techniques
Histology
Sensors
Gadolinium
Contrast Media
Stars
Data acquisition
Blood
Trajectories
Sampling
Computer-Assisted Image Processing
methodology

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system. / Zhang, Xiaoyong; Qiu, Bensheng; Wei, Zijun; Yan, Fei; Shi, Caiyun; Su, Shi; Liu, Xin; Ji, Jim; Xie, Guoxi.

In: PLoS One, Vol. 12, No. 12, e0189286, 01.12.2017.

Research output: Contribution to journalArticle

Zhang, Xiaoyong ; Qiu, Bensheng ; Wei, Zijun ; Yan, Fei ; Shi, Caiyun ; Su, Shi ; Liu, Xin ; Ji, Jim ; Xie, Guoxi. / Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system. In: PLoS One. 2017 ; Vol. 12, No. 12.
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