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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Prospective self-gating for simultaneous compensation of cardiac and respiratory motion.
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Prospective self-gating for simultaneous compensation of cardiac and respiratory motion.

机译:前瞻性自我门控可同时补偿心脏和呼吸运动。

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摘要

Segmented cardiac acquisitions generally require the use of an electrocardiogram (ECG) in combination with a breathhold or a respiratory navigator placed on the diaphragm. These techniques necessitate patient cooperation and increase the complexity of cardiac imaging. The ECG signal may be distorted inside the magnet by interferences from radiofrequency and gradient action. Breathhold acquisition limits the total scan time, while navigators on the diaphragm might not fully reflect respiratory-induced motion of the heart. To overcome some of these problems, several self-gating (SG) or "wireless" techniques have recently been presented. All of these approaches, however, are based on either cardiac triggering or respiratory gating, or the data are processed retrospectively, reducing the efficiency of data acquisition. In this work a prospective SG approach for free-breathing imaging is presented that requires neither ECG gating nor respiratory navigation. The motion data used for cardiac triggering and respiratory gating are extracted from the repeatedly acquired k-space center. Based on computer simulations and in vivo data of the heart, it is shown that cardiac as well as respiratory motion can be accurately extracted in real time. Using the method proposed, the scan efficiency could be significantly increased while preserving image quality relative to retrospective SG approaches.
机译:分段心脏采集通常需要结合心电图(ECG)和放置在隔膜上的屏气或呼吸导航器使用。这些技术需要患者合作,并增加了心脏成像的复杂性。 ECG信号可能会由于射频和梯度作用的干扰而在磁体内部变形。屏息采集会限制总扫描时间,而横diaphragm膜上的导航器可能无法完全反映呼吸诱导的心脏运动。为了克服这些问题中的一些,最近已经提出了几种自选通(SG)或“无线”技术。但是,所有这些方法都是基于心脏触发或呼吸门控,或者数据是追溯处理的,从而降低了数据采集的效率。在这项工作中,提出了一种用于自由呼吸成像的前瞻性SG方法,该方法既不需要ECG门控,也不需要呼吸导航。从重复获取的k空间中心提取用于心脏触发和呼吸门控的运动数据。基于计算机模拟和心脏的体内数据,表明可以实时准确地提取心脏以及呼吸运动。使用所提出的方法,相对于回顾性SG方法,可以在保持图像质量的同时显着提高扫描效率。

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