Robert Steiner MRI Unit, Imaging Sciences Department, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom.
AJNR Am J Neuroradiol. 2013 Jun-Jul;34(6):1124-36. doi: 10.3174/ajnr.A3128. Epub 2012 May 10.
Fetal and neonatal MR imaging is increasingly used as a complementary diagnostic tool to sonography. MR imaging is an ideal technique for imaging fetuses and neonates because of the absence of ionizing radiation, the superior contrast of soft tissues compared with sonography, the availability of different contrast options, and the increased FOV. Motion in the normally mobile fetus and the unsettled, sleeping, or sedated neonate during a long acquisition will decrease image quality in the form of motion artifacts, hamper image interpretation, and often necessitate a repeat MR imaging to establish a diagnosis. This article reviews current techniques of motion compensation in fetal and neonatal MR imaging, including the following: 1) motion-prevention strategies (such as adequate patient preparation, patient coaching, and sedation, when required), 2) motion-artifacts minimization methods (such as fast imaging protocols, data undersampling, and motion-resistant sequences), and 3) motion-detection/correction schemes (such as navigators and self-navigated sequences, external motion-tracking devices, and postprocessing approaches) and their application in fetal and neonatal brain MR imaging. Additionally some background on the repertoire of motion of the fetal and neonatal patient and the resulting artifacts will be presented, as well as insights into future developments and emerging techniques of motion compensation.
胎儿和新生儿磁共振成像(MR 成像)越来越多地被用作超声检查的补充诊断工具。由于不存在电离辐射,与超声相比软组织对比度更高,可选择不同的对比剂,以及视野(FOV)增加,因此 MR 成像是对胎儿和新生儿进行成像的理想技术。在正常活动的胎儿和在长时间采集过程中处于活动、睡眠或镇静状态的新生儿中,运动将以运动伪影的形式降低图像质量,妨碍图像解释,并且通常需要重复进行 MR 成像以建立诊断。本文综述了胎儿和新生儿 MR 成像中运动补偿的当前技术,包括:1)运动预防策略(例如充分的患者准备、患者指导和需要时的镇静),2)运动伪影最小化方法(例如快速成像方案、数据欠采样和抗运动序列),以及 3)运动检测/校正方案(例如导航器和自导航序列、外部运动跟踪设备以及后处理方法)及其在胎儿和新生儿脑 MR 成像中的应用。此外,还将介绍胎儿和新生儿患者运动的范围以及由此产生的伪影的一些背景知识,并深入了解未来的发展和新兴的运动补偿技术。