Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system.
Three-dimensional self-gated cardiac MR imaging for the evaluation of myocardial infarction in mouse model on a 3T clinical MR system.
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三维自门控心脏 MR 成像在 3T 临床 MR 系统上评估小鼠模型心肌梗死
DOI：
10.1371/journal.pone.0189286
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Xie G
中科院分区：
文献类型：
--
作者：
Zhang X;Qiu B;Wei Z;Yan F;Shi C;Su S;Liu X;Ji JX;Xie G
目的 开发和评估一种三维 (3D) 自门控技术，用于评估小鼠模型中的心肌梗死 (MI)，无需在 3T 临床 MR 系统上使用外部心电图 (ECG) 触发器和呼吸运动传感器。方法 开发了具有星堆采样轨迹的 3D T1 加权 GRE 序列，并在 3T 临床 MR 系统中注射了基于钆的造影剂的六只患有 MI 的小鼠上进行了测试。呼吸和心脏自门信号是通过图像域中的带通滤波从 k 空间中心沿着分区编码方向的笛卡尔映射导出的。然后根据预定的自选通信号重新排列数据，以进行后续的图像重建。为了加速数据采集，图像重建基于压缩感知（CS）理论，利用重建图像的时间稀疏性。此外，还通过传统的重新网格化方法从相同的重新对齐数据重建图像，以证明所提出的重建方法的优点。此外，使用组织学分析作为标准参考来评估所提出的方法检测 MI 的准确性。使用线性回归和 Bland-Altman 分析来评估所提出的方法与组织学分析之间的一致性。结果与传统的重新网格化方法相比，所提出的 CS 方法重建的图像具有更少的条纹伪影，并且血液和心肌之间的对比度（CNR）更好（4.1 ± 2.1 vs. 2.9 ± 1.1，p = 0.031）。线性回归和 Bland-Altman 分析表明，根据所提出的方法和组织学分析得出的梗塞面积之间具有良好的相关性。结论 开发了一种用于小鼠心脏成像的 3D T1 加权自门控技术，该技术具有在 3T 临床 MR 系统中准确评估小鼠 MI 的潜力，无需使用外部心电图触发和呼吸运动传感器。
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.
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影响因子：
3.3
作者：
Feng, Li;Grimm, Robert;Block, Kai Tobias;Chandarana, Hersh;Kim, Sungheon;Xu, Jian;Axel, Leon;Sodickson, Daniel K.;Otazo, Ricardo
通讯作者：
Otazo, Ricardo
影响因子：
--
作者：
Voelkl JG;Haubner BJ;Kremser C;Mayr A;Klug G;Loizides A;Müller S;Pachinger O;Schocke M;Metzler B
通讯作者：
Metzler B
影响因子：
4.8
作者：
Mao, Yuanjie;Tokudome, Takeshi;Kangawa, Kenji
通讯作者：
Kangawa, Kenji
影响因子：
2.2
作者：
Ruff, J;Wiesmann, F;Haase, A
通讯作者：
Haase, A
影响因子：
3.3
作者：
Montesinos, Paula;Abascal, Juan Felipe P. J.;Desco, Manuel
通讯作者：
Desco, Manuel