Evans D F, Lamont G, Stehling M K, Blamire A M, Gibbs P, Coxon R, Hardcastle J D, Mansfield P
Magnetic Resonance Centre, University of Nottingham.
Gut. 1993 Jun;34(6):848-52. doi: 10.1136/gut.34.6.848.
Upper gastrointestinal motility and transit has been studied in five human volunteers with the ultra high speed, magnetic resonance imaging (MRI) technique MBEST (Modulus Blipped Echo-planar Single pulse Technique), a variant of echo planar imaging. Snapshot images requiring a data acquisition time of only 64-128 msec allowed visualisation of peristalsis in the antrum and duodenum in real time, without motional image degradation, as would normally be seen using conventional MRI. Gastroduodenal flow of the luminal contents was visualised using water as a contrast medium, with appropriate adjustment of the time constant (T2) weighting of the system. Rapid (0.3 Hz) imaging of gastroduodenal motility in both transverse and coronal planes was achieved by respiratory gating to the imaging frequency, allowing repetition rates of up to 20 frames per minute for 2-3 hours. Fast replay of stored images, to produce a 'movie loop', allowed identification of fasting motility patterns of the gastric antrum and proximal small intestine, with depiction of the phases of the migrating motor complex. Images of the fed patterns after the ingestion of a test meal showed good separation of solid and liquid particulate matter and mixing waves in the gastric body. The potential for quantitative measurements with this new imaging modality of the gastrointestinal tract is under development, which will allow us to measure transit and correlate this with motility data.
采用磁共振成像(MRI)技术MBEST(模量翻转回波平面单脉冲技术,一种回波平面成像的变体)对五名人类志愿者的上消化道运动和传输情况进行了研究。快照图像的数据采集时间仅为64 - 128毫秒,能够实时观察胃窦和十二指肠的蠕动,且不会出现常规MRI中常见的运动图像退化现象。通过将水作为造影剂,并适当调整系统的时间常数(T2)加权,可观察到管腔内内容物的胃十二指肠流动情况。通过将呼吸门控与成像频率同步,在横断和冠状平面上实现了胃十二指肠运动的快速(0.3赫兹)成像,在2 - 3小时内可实现高达每分钟20帧的重复率。对存储图像进行快速回放以生成“动态循环”,能够识别胃窦和近端小肠的空腹运动模式,并描绘移行性运动复合波的各阶段。摄入试验餐后的进食模式图像显示,胃体中固体和液体颗粒物质以及混合波有良好的分离。这种用于胃肠道的新成像方式的定量测量潜力正在开发中,这将使我们能够测量传输情况并将其与运动数据相关联。