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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Fully automatic, retrospective enhancement of real-time acquired cardiac cine MR images using image-based navigators and respiratory motion-corrected averaging.
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Fully automatic, retrospective enhancement of real-time acquired cardiac cine MR images using image-based navigators and respiratory motion-corrected averaging.

机译：使用基于图像的导航器和经过呼吸运动校正的平均值，对实时采集的心脏MR图像进行全自动，回顾性增强。

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摘要

Real-time imaging may be clinically important in patients with congestive heart failure, arrhythmias, or in pediatric cases. However, real-time imaging typically has compromised spatial and temporal resolution compared with gated, segmented studies. To combine the best features of both types of imaging, a new method is proposed that uses parallel imaging to improve temporal resolution of real-time acquired images at the expense of signal-to-noise ratio (SNR), but then produces an SNR-enhanced cine by means of respiratory motion-corrected averaging of images acquired in real-time over multiple heartbeats while free-breathing. The retrospective processing based on image-based navigators and nonrigid image registration is fully automated. The proposed method was compared with conventional cine images in 21 subjects. The resultant image quality for the proposed method (3.9+/-0.44) was comparable to the conventional cine (4.2+/-0.99) on a 5-point scale (P=not significant [n.s.]). The conventional method exhibited degraded image quality in cases of arrhythmias whereas the proposed method had uniformly good quality. Motion-corrected averaging of real-time acquired cardiac images provides a means of attaining high-quality cine images with many of the benefits of real-time imaging, such as free-breathing acquisition and tolerance to arrhythmias.
机译：对于患有充血性心力衰竭，心律不齐或小儿的患者，实时成像可能在临床上很重要。但是，与门控细分研究相比，实时成像通常会损害空间和时间分辨率。为了结合两种类型成像的最佳特征，提出了一种新方法，该方法使用并行成像来提高实时采集图像的时间分辨率，但会牺牲信噪比（SNR），但随后会产生SNR通过自由运动时在多个心跳上实时获取的图像的呼吸运动校正平均图像，增强电影效果。基于图像导航器和非刚性图像配准的追溯处理是完全自动化的。将所提出的方法与21位受试者的常规电影图像进行了比较。所提出方法的最终图像质量（3.9 +/- 0.44）在5点尺度上可与常规电影（4.2 +/- 0.99）相媲美（P =不显着[n.s.]）。在心律不齐的情况下，传统方法的图像质量下降，而所提出的方法具有统一的良好质量。实时采集的心脏图像的运动校正平均可以提供一种获得高质量电影图像的方式，并具有实时成像的许多好处，例如自由呼吸采集和对心律不齐的耐受性。

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