DOI: 10.5061/dryad.7b73j
title: Data from: Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system

description: 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.
description: Original data
 setPlease find the original
 MRI data in the MRI data file, and the histology image in the Histology
 file. All MRI data (referring to the .dat binary files) was from a 3 T
 clinical MR system (Tim Trio, Siemens, Erlangen, Germany) without using
 external ECG trigger and respiratory motion sensor. The data can be
 loaded, viewed, and analyzed with MATLAB 2013a (Mathworks Inc., Natick,
 MA, USA). After MR scan, all mice were re-anaesthetized and sacrificed by
 rapid excision of the heart. The heart was then rinsed in 0.9% NaCl,
 frozen and manually sectioned into 5-6 short-axis slices with thickness of
 ~1.5 mm from apex to base. The slices were incubated with 0.1%
 triphenyltetrazolium chloride (TTC) for 15 minutes, and photographed with
 a digital camera and prepared for further analysis (referring to the
 histology image).Data loading
 codesThe codes that could
 open/load the .dat files from Siemens MR scanners. You could use the
 'demo' codes to load the files for further
 analysis.