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超声驱动心脏 MRI。

Ultrasound-driven cardiac MRI.

机构信息

Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland.

Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

出版信息

Phys Med. 2020 Feb;70:161-168. doi: 10.1016/j.ejmp.2020.01.008. Epub 2020 Feb 4.

Abstract

PURPOSE

One of the challenges of cardiac MR imaging is the compensation of respiratory motion, which causes the heart and the surrounding tissues to move. Commonly-used methods to overcome this effect, breath-holding and MR navigation, present shortcomings in terms of available acquisition time or need to periodically interrupt the acquisition, respectively. In this work, an implementation of respiratory motion compensation that obtains information from abdominal ultrasound and continuously adapts the imaged slice position in real time is presented.

METHODS

A custom workflow was developed, comprising an MR-compatible ultrasound acquisition system, a feature-motion-tracking system with polynomial predictive capability, and a custom MR sequence that continuously adapts the position of the acquired slice according to the tracked position. The system was evaluated on a moving phantom by comparing sharpness and image blurring between static and moving conditions, and in vivo by tracking the motion of the blood vessels of the liver to estimate the cardiac motion. Cine images of the heart were acquired during free breathing.

RESULTS

In vitro, the predictive motion correction yielded significantly better results than non-predictive or non-corrected acquisitions (p ≪ 0.01). In vivo, the predictive correction resulted in an image quality very similar to the breath-hold acquisition, whereas the uncorrected images show noticeable blurring artifacts.

CONCLUSION

In this work, the possibility of using ultrasound navigation with tracking for the real-time adaptation of MR imaging slices was demonstrated. The implemented technique enabled efficient imaging of the heart with resolutions that would not be feasible in a single breath-hold.

摘要

目的

心脏磁共振成像是一项具有挑战性的技术,因为呼吸运动会导致心脏和周围组织发生运动。为了克服这个问题,常用的方法是屏气和磁共振导航,但这两种方法都存在采集时间有限或需要定期中断采集的缺点。在这项工作中,我们提出了一种利用腹部超声获取信息并实时连续调整成像层面位置的呼吸运动补偿方法。

方法

我们开发了一个定制的工作流程,包括一个兼容磁共振的超声采集系统、一个具有多项式预测能力的特征运动跟踪系统,以及一个根据跟踪位置连续调整采集层面位置的定制磁共振序列。该系统在一个移动的体模上进行了评估,通过比较静态和移动条件下的清晰度和图像模糊程度来评估系统的性能,还在体模中跟踪肝脏血管的运动来估计心脏运动,同时在自由呼吸的情况下采集心脏的电影图像。

结果

在体模实验中,预测运动校正的结果明显优于非预测或未校正的采集结果(p≪0.01)。在体内实验中,预测校正得到的图像质量非常接近屏气采集的结果,而未校正的图像则显示出明显的模糊伪影。

结论

在这项工作中,我们展示了使用超声导航和跟踪进行磁共振成像层面实时自适应的可能性。所实现的技术可以实现心脏的高效成像,分辨率在单次屏气采集时是无法达到的。

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