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使用磁共振成像进行心肌灌注定量的示踪剂动力学建模。

Tracer kinetic modeling in myocardial perfusion quantification using MRI.

作者信息

Schwab Felix, Ingrisch Michael, Marcus Roy, Bamberg Fabian, Hildebrandt Kristof, Adrion Christine, Gliemi Christopher, Nikolaou Konstantin, Reiser Maximilian, Theisen Daniel

机构信息

Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany; Munich Heart Alliance, Munich, Germany.

出版信息

Magn Reson Med. 2015 Mar;73(3):1206-15. doi: 10.1002/mrm.25212. Epub 2014 Mar 31.

Abstract

PURPOSE

To investigate and compare several quantification methods of myocardial perfusion measurements, paying special attention to the relation between the techniques and the required measurement duration.

METHODS

Seven patients underwent contrast-enhanced rest and stress cardiac perfusion measurements at 3T. Three slices were acquired in each patient and were divided into 16 segments, leading to 112 rest and stress data curves, which were analyzed using various tracer kinetic models as well as a model-free deconvolution. Plasma flow, plasma volume, and myocardial perfusion reserve were analyzed for the complete acquisition as well as for the first pass data only.

RESULTS

Deconvolution analysis yielded stable results for both rest and stress analysis, while Fermi and one compartment models agree well for first pass data (rest measurements only) and prolonged data acquisition (stress measurements only). More complex models do not yield satisfactory results for the short measurement times investigated in this study.

CONCLUSIONS

When performing MRI-based quantification of myocardial perfusion, care must be taken that the method used is appropriate for the time frame under investigation. When a numerical deconvolution is used instead of tracer kinetic models, more stable results are obtained.

摘要

目的

研究并比较几种心肌灌注测量的量化方法,特别关注这些技术与所需测量持续时间之间的关系。

方法

7名患者在3T条件下接受了对比增强静息和负荷心脏灌注测量。每位患者采集3层图像,并将其分为16个节段,从而得到112条静息和负荷数据曲线,使用各种示踪剂动力学模型以及无模型反卷积方法对这些曲线进行分析。对完整采集数据以及仅首过数据进行血浆流量、血浆容积和心肌灌注储备分析。

结果

反卷积分析对静息和负荷分析均产生稳定结果,而费米模型和单室模型对首过数据(仅静息测量)和延长的数据采集(仅负荷测量)结果吻合良好。对于本研究中所研究的短测量时间,更复杂的模型未产生令人满意的结果。

结论

在进行基于MRI的心肌灌注量化时,必须注意所使用的方法适用于所研究的时间范围。当使用数值反卷积而非示踪剂动力学模型时,可获得更稳定的结果。

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