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[使用压缩感知对高缩减因子扩散加权图像进行定量评估]

[Quantitative Evaluation of High Reduction Factor Diffusion-weighted Images Using Compressed SENSE].

作者信息

Noji Atsuki, Okada Yukinori

机构信息

Department of Radiology, National Defense Medical College Hospital.

Graduate School of Medical Science, Suzuka University of Medical Science.

出版信息

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2023 Jun 20;79(6):527-536. doi: 10.6009/jjrt.2023-1330. Epub 2023 Mar 31.

Abstract

PURPOSE

The purposes of this study were to clarify the difference in image characteristics of EPI with compressed SENSE (EPICS) DWI and conventional EPI-SENSE DWI when the reduction factor is increased, and to investigate the optimal reduction factor setting for EPICS DWI.

METHODS

Using Philips MRI Ingenia Elition 3.0T and a phantom, we compared the SNR, CNR, and ADC values between the EPI-SENSE and EPICS methods with increasing reduction factor. The presence of deployment failure artifacts was verified by the dynamic noise scan method. P<0.05 was set as the significance level.

RESULTS

The EPICS method showed significantly higher SNR (1.1-1.4 times) and CNR (1.3-1.8 times) than the EPI-SENSE method at reduction factors 2-5 (P<0.05), with less deployment failure artifacts. The ADC of the EPICS method was 0.03-0.07×10 mm/s lower at reduction factors 3-5.

CONCLUSION

EPICS DWI is a useful imaging method that is highly effective in reducing image degradation in high reduction factor imaging.

摘要

目的

本研究的目的是阐明当压缩因子增加时,压缩感知回波平面成像(EPICS)扩散加权成像(DWI)与传统回波平面成像感知编码(EPI-SENSE)DWI图像特征的差异,并研究EPICS DWI的最佳压缩因子设置。

方法

使用飞利浦MRI Ingenia Elition 3.0T和体模,我们比较了随着压缩因子增加,EPI-SENSE和EPICS方法之间的信噪比(SNR)、对比噪声比(CNR)和表观扩散系数(ADC)值。通过动态噪声扫描方法验证部署失败伪影的存在。将P<0.05设定为显著性水平。

结果

在压缩因子为2至5时,EPICS方法的SNR(1.1至1.4倍)和CNR(1.3至1.8倍)显著高于EPI-SENSE方法(P<0.05),部署失败伪影较少。在压缩因子为3至5时,EPICS方法的ADC低0.03至0.07×10⁻³mm²/s。

结论

EPICS DWI是一种有用的成像方法,在高压缩因子成像中能有效减少图像退化。

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