Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging.
Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging.
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DOI：
10.1186/s12968-016-0231-8
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发表时间：
2016-02-25
期刊：
影响因子：
--
通讯作者：
Hansen M
中科院分区：
文献类型：
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作者：
Cross R;Olivieri L;O'Brien K;Kellman P;Xue H;Hansen M
用于心脏功能评估的传统电影成像需要屏气，这在某些情况下可能是有问题的。自由呼吸技术依赖于多个平均值或实时成像，产生可能在空间和/或时间上模糊的图像。为了克服这一点，已经开发了在多个心动周期上采集实时图像的方法，这些图像随后被运动校正和重新格式化以产生以高时间和空间分辨率显示一个心动周期的单个图像系列。这些算法的应用需要显著的额外重建时间。最近提出了使用分布式计算作为一种方法，以改善临床工作流程与这样的算法。在这项研究中，我们已经部署了一个分布式计算版本的运动校正重新分箱重建的自由呼吸的心脏功能的评价。25例患者和25名志愿者接受了心血管磁共振（CMR），以评价左心室收缩末期容积（ESV），舒张末期容积（EDV）和舒张末期质量。将使用运动校正的重新分箱的测量结果与使用屏气SSFP和自由呼吸SSFP的测量结果进行比较，并采用多个平均值，并由两名独立的观察者进行。Pearson相关系数和Bland-Altman图检验了各种技术之间的一致性。一致性相关系数和Bland-Altman分析检验了观察者间变异性。使用配对t检验检验总扫描加重建时间的显著性差异。通过运动校正重新分组和平均自由呼吸SSFP获得的测量体积和质量与通过屏气SSFP获得的测量体积和质量相比有利（EDV的r = 0.9863/0.9813，ESV的r = 0.9550/0.9685，质量的r = 0.9952/0.9771）。观察者间变异性良好，所有采集类型的观察者之间的一致性相关系数表明基本一致。运动校正的重新分箱和平均自由呼吸SSFP采集和重建时间均短于屏气SSFP技术（p < 0.0001）。平均而言，运动校正的重新分箱比屏气SSFP成像少需要3分钟，采集和重建时间减少37%。运动校正的重新分箱图像重建技术提供了稳健的心脏成像，其可以用于与屏气SSFP以及多个平均自由呼吸SSFP相比有利的量化，但是当使用基于云的分布式计算重建时可以在一小部分时间内获得。
Traditional cine imaging for cardiac functional assessment requires breath-holding, which can be problematic in some situations. Free-breathing techniques have relied on multiple averages or real-time imaging, producing images that can be spatially and/or temporally blurred. To overcome this, methods have been developed to acquire real-time images over multiple cardiac cycles, which are subsequently motion corrected and reformatted to yield a single image series displaying one cardiac cycle with high temporal and spatial resolution. Application of these algorithms has required significant additional reconstruction time. The use of distributed computing was recently proposed as a way to improve clinical workflow with such algorithms. In this study, we have deployed a distributed computing version of motion corrected re-binning reconstruction for free-breathing evaluation of cardiac function. Twenty five patients and 25 volunteers underwent cardiovascular magnetic resonance (CMR) for evaluation of left ventricular end-systolic volume (ESV), end-diastolic volume (EDV), and end-diastolic mass. Measurements using motion corrected re-binning were compared to those using breath-held SSFP and to free-breathing SSFP with multiple averages, and were performed by two independent observers. Pearson correlation coefficients and Bland-Altman plots tested agreement across techniques. Concordance correlation coefficient and Bland-Altman analysis tested inter-observer variability. Total scan plus reconstruction times were tested for significant differences using paired t-test. Measured volumes and mass obtained by motion corrected re-binning and by averaged free-breathing SSFP compared favorably to those obtained by breath-held SSFP (r = 0.9863/0.9813 for EDV, 0.9550/0.9685 for ESV, 0.9952/0.9771 for mass). Inter-observer variability was good with concordance correlation coefficients between observers across all acquisition types suggesting substantial agreement. Both motion corrected re-binning and averaged free-breathing SSFP acquisition and reconstruction times were shorter than breath-held SSFP techniques (p < 0.0001). On average, motion corrected re-binning required 3 min less than breath-held SSFP imaging, a 37 % reduction in acquisition and reconstruction time. The motion corrected re-binning image reconstruction technique provides robust cardiac imaging that can be used for quantification that compares favorably to breath-held SSFP as well as multiple average free-breathing SSFP, but can be obtained in a fraction of the time when using cloud-based distributed computing reconstruction.