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使用基于图像迭代的呼吸运动校正的自由呼吸三维心脏磁共振成像。

Free-breathing 3D cardiac MRI using iterative image-based respiratory motion correction.

作者信息

Moghari Mehdi H, Roujol Sébastien, Chan Raymond H, Hong Susie N, Bello Natalie, Henningsson Markus, Ngo Long H, Goddu Beth, Goepfert Lois, Kissinger Kraig V, Manning Warren J, Nezafat Reza

机构信息

Department of Medicine (Cardiovascular Division), Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.

出版信息

Magn Reson Med. 2013 Oct;70(4):1005-15. doi: 10.1002/mrm.24538. Epub 2012 Nov 6.

Abstract

Respiratory motion compensation using diaphragmatic navigator gating with a 5 mm gating window is conventionally used for free-breathing cardiac MRI. Because of the narrow gating window, scan efficiency is low resulting in long scan times, especially for patients with irregular breathing patterns. In this work, a new retrospective motion compensation algorithm is presented to reduce the scan time for free-breathing cardiac MRI that increasing the gating window to 15 mm without compromising image quality. The proposed algorithm iteratively corrects for respiratory-induced cardiac motion by optimizing the sharpness of the heart. To evaluate this technique, two coronary MRI datasets with 1.3 mm(3) resolution were acquired from 11 healthy subjects (seven females, 25 ± 9 years); one using a navigator with a 5 mm gating window acquired in 12.0 ± 2.0 min and one with a 15 mm gating window acquired in 7.1 ± 1.0 min. The images acquired with a 15 mm gating window were corrected using the proposed algorithm and compared to the uncorrected images acquired with the 5 and 15 mm gating windows. The image quality score, sharpness, and length of the three major coronary arteries were equivalent between the corrected images and the images acquired with a 5 mm gating window (P-value > 0.05), while the scan time was reduced by a factor of 1.7.

摘要

使用带有5毫米门控窗口的膈肌导航门控进行呼吸运动补偿,传统上用于自由呼吸心脏磁共振成像(MRI)。由于门控窗口狭窄,扫描效率低,导致扫描时间长,特别是对于呼吸模式不规则的患者。在这项工作中,提出了一种新的回顾性运动补偿算法,以减少自由呼吸心脏MRI的扫描时间,该算法将门控窗口增加到15毫米而不影响图像质量。所提出的算法通过优化心脏的清晰度来迭代校正呼吸引起的心脏运动。为了评估该技术,从11名健康受试者(7名女性,25±9岁)获取了两个分辨率为1.3毫米³的冠状动脉MRI数据集;一个使用5毫米门控窗口的导航器,采集时间为12.0±2.0分钟,另一个使用15毫米门控窗口的导航器,采集时间为7.1±1.0分钟。使用所提出的算法对15毫米门控窗口采集的图像进行校正,并与5毫米和15毫米门控窗口采集的未校正图像进行比较。校正后的图像与5毫米门控窗口采集的图像在图像质量评分、清晰度和三条主要冠状动脉的长度方面相当(P值>0.05),而扫描时间减少了1.7倍。

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