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一种用于呼吸补偿的新策略,应用于三维自由呼吸心脏磁共振成像。

A new strategy for respiration compensation, applied toward 3D free-breathing cardiac MRI.

作者信息

Madore Bruno, Farnebäck Gunnar, Westin Carl-Fredrik, Durán-Mendicuti Alejandra

机构信息

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Magn Reson Imaging. 2006 Jul;24(6):727-37. doi: 10.1016/j.mri.2006.01.009. Epub 2006 Apr 27.

Abstract

In thorax and abdomen imaging, image quality may be affected by breathing motion. Cardiac MR images are typically obtained while the patient holds his or her breath, to avoid respiration-related artifacts. Although useful, breath-holding imposes constraints on scan duration, which in turn limits the achievable resolution and SNR. Longer scan times would be required to improve image quality, and effective strategies are needed to compensate for respiratory motion. A novel approach at respiratory compensation, targeted toward 3D free-breathing cardiac MRI, is presented here. The method aims at suppressing the negative effects of respiratory-induced cardiac motion while capturing the heart's beating motion. The method is designed so that the acquired data can be reconstructed in two different ways: First, a time series of images is reconstructed to quantify and correct for respiratory motion. Then, the corrected data are reconstructed a final time into a cardiac-phase series of images to capture the heart's beating motion. The method was implemented, and initial results are presented. A cardiac-phase series of 3D images, covering the entire heart, was obtained for two free-breathing volunteers. The present method may prove especially useful in situations where breath-holding is not an option, for example, for very sick, mentally impaired or infant patients.

摘要

在胸部和腹部成像中,图像质量可能会受到呼吸运动的影响。心脏磁共振图像通常是在患者屏气时获取的,以避免与呼吸相关的伪影。尽管屏气很有用,但它限制了扫描时间,进而限制了可达到的分辨率和信噪比。需要更长的扫描时间来提高图像质量,并且需要有效的策略来补偿呼吸运动。本文提出了一种针对三维自由呼吸心脏磁共振成像的新型呼吸补偿方法。该方法旨在抑制呼吸引起的心脏运动的负面影响,同时捕捉心脏的跳动运动。该方法的设计使得采集到的数据可以通过两种不同的方式进行重建:首先,重建一系列时间图像以量化和校正呼吸运动。然后,将校正后的数据再次重建为一系列心脏相位图像,以捕捉心脏的跳动运动。该方法已经实施,并给出了初步结果。为两名自由呼吸的志愿者获取了覆盖整个心脏的一系列心脏相位三维图像。本方法在无法屏气的情况下可能特别有用,例如对于病情非常严重、精神受损或婴儿患者。

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