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使用黄金角星状堆叠和压缩感知的多分辨率成像用于动态磁共振尿路造影。

Multiresolution imaging using golden angle stack-of-stars and compressed sensing for dynamic MR urography.

作者信息

Pandey Abhishek, Yoruk Umit, Keerthivasan Mahesh, Galons Jean-Philippe, Sharma Puneet, Johnson Kevin, Martin Diego R, Altbach Maria I, Bilgin Ali, Saranathan Manojkumar

机构信息

Electrical & Computer Engineering, University of Arizona, Tucson, Arizona, USA.

Medical Imaging, University of Arizona, Tucson, Arizona, USA.

出版信息

J Magn Reson Imaging. 2017 Jul;46(1):303-311. doi: 10.1002/jmri.25576. Epub 2017 Feb 8.

DOI:10.1002/jmri.25576
PMID:28176396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12036946/
Abstract

PURPOSE

To develop a novel multiresolution MRI methodology for accurate estimation of glomerular filtration rate (GFR) in vivo.

MATERIALS AND METHODS

A three-dimensional golden-angle radial stack-of-stars (SoS) trajectory was used for data acquisition on a 3 Tesla MRI scanner. Multiresolution reconstruction and analysis was performed using arterial input function reconstructed at 1-s. temporal resolution and renal dynamic data reconstructed using compressed sensing (CS) with 4-s temporal resolution. The method was first validated using simulations and the clinical utility of the technique was evaluated by comparing the GFR estimates from the proposed method to the estimated GFR (eGFR) obtained from serum creatinine for 10 subjects.

RESULTS

The 4-s temporal resolution CS images minimized streaking artifacts and noise while the 1-s temporal resolution AIF minimized errors in GFR estimates. A paired t-test showed that there was no statistically significant difference between MRI based total GFR values and serum creatinine based eGFR estimates (P = 0.92).

CONCLUSION

We have demonstrated the feasibility of multiresolution MRI using a golden angle radial stack-of-stars scheme to accurately estimate GFR as well as produce diagnostic quality dynamic images in vivo.

LEVEL OF EVIDENCE

1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2017;46:303-311.

摘要

目的

开发一种新型多分辨率磁共振成像(MRI)方法,用于在体准确估计肾小球滤过率(GFR)。

材料与方法

在3特斯拉MRI扫描仪上采用三维黄金角径向星状堆叠(SoS)轨迹进行数据采集。使用以1秒时间分辨率重建的动脉输入函数以及采用4秒时间分辨率的压缩感知(CS)重建的肾脏动态数据进行多分辨率重建和分析。该方法首先通过模拟进行验证,并通过将所提方法得到的GFR估计值与10名受试者血清肌酐获得的估计肾小球滤过率(eGFR)进行比较,评估该技术的临床实用性。

结果

4秒时间分辨率的CS图像将条纹伪影和噪声降至最低,而1秒时间分辨率的动脉输入函数将GFR估计中的误差降至最低。配对t检验显示,基于MRI的总GFR值与基于血清肌酐的eGFR估计值之间无统计学显著差异(P = 0.92)。

结论

我们已证明采用黄金角径向星状堆叠方案的多分辨率MRI在体准确估计GFR以及生成诊断质量动态图像的可行性。

证据水平

1 技术效能:3期 J.MAGN.RESON.IMAGING 2017;46:303 - 311。

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