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采用基于迭代软阈值的压缩感知技术加速大鼠心肌的磁共振成像组织相位图绘制。

Accelerated magnetic resonance imaging tissue phase mapping of the rat myocardium using compressed sensing with iterative soft-thresholding.

机构信息

Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.

KG Jebsen Center for Cardiac Research and Center for Heart Failure Research, University of Oslo, Oslo, Norway.

出版信息

PLoS One. 2019 Jul 5;14(7):e0218874. doi: 10.1371/journal.pone.0218874. eCollection 2019.

Abstract

INTRODUCTION

Tissue Phase Mapping (TPM) MRI can accurately measure regional myocardial velocities and strain. The lengthy data acquisition, however, renders TPM prone to errors due to variations in physiological parameters, and reduces data yield and experimental throughput. The purpose of the present study is to examine the quality of functional measures (velocity and strain) obtained by highly undersampled TPM data using compressed sensing reconstruction in infarcted and non-infarcted rat hearts.

METHODS

Three fully sampled left-ventricular short-axis TPM slices were acquired from 5 non-infarcted rat hearts and 12 infarcted rat hearts in vivo. The datasets were used to generate retrospectively (simulated) undersampled TPM datasets, with undersampling factors of 2, 4, 8 and 16. Myocardial velocities and circumferential strain were calculated from all datasets. The error introduced from undersampling was then measured and compared to the fully sampled data in order to validate the method. Finally, prospectively undersampled data were acquired and compared to the fully sampled datasets.

RESULTS

Bland Altman analysis of the retrospectively undersampled and fully sampled data revealed narrow limits of agreement and little bias (global radial velocity: median bias = -0.01 cm/s, 95% limits of agreement = [-0.16, 0.20] cm/s, global circumferential strain: median bias = -0.01%strain, 95% limits of agreement = [-0.43, 0.51] %strain, all for 4x undersampled data at the mid-ventricular level). The prospectively undersampled TPM datasets successfully demonstrated the feasibility of method implementation.

CONCLUSION

Through compressed sensing reconstruction, highly undersampled TPM data can be used to accurately measure the velocity and strain of the infarcted and non-infarcted rat myocardium in vivo, thereby increasing experimental throughput and simultaneously reducing error introduced by physiological variations over time.

摘要

简介

组织相位映射(TPM)MRI 可准确测量局部心肌速度和应变。然而,由于生理参数的变化,较长的数据采集时间使 TPM 容易出错,并降低了数据产量和实验通量。本研究的目的是检查使用压缩感知重建从梗塞和非梗塞大鼠心脏中获得的功能测量值(速度和应变)的质量。

方法

从 5 只非梗塞大鼠和 12 只梗塞大鼠体内获得了 3 个完全采样的左心室短轴 TPM 切片。使用这些数据集生成回顾性(模拟)欠采样 TPM 数据集,欠采样因子为 2、4、8 和 16。从所有数据集计算心肌速度和圆周应变。然后测量欠采样引入的误差,并与完全采样数据进行比较,以验证该方法。最后,前瞻性地采集了欠采样数据,并与完全采样数据集进行了比较。

结果

回顾性欠采样和完全采样数据的 Bland-Altman 分析显示,一致性界限较窄,偏差较小(整体径向速度:中位数偏差=-0.01cm/s,95%一致性界限=-0.16,0.20cm/s,整体圆周应变:中位数偏差=-0.01%应变,95%一致性界限=-0.43,0.51%应变,所有 4x 欠采样数据在中心室水平)。前瞻性欠采样 TPM 数据集成功地证明了该方法实施的可行性。

结论

通过压缩感知重建,可以使用高度欠采样的 TPM 数据准确测量梗塞和非梗塞大鼠心肌的速度和应变,从而增加实验通量,同时减少随时间变化的生理变化引入的误差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e70/6611593/e273c8ab1a44/pone.0218874.g001.jpg

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