Jung Woo Yu, S. Woo, Y. Lee, I. Ko, R. Yoo, J. Kang, Byung Il Kim, Y. Chung, Sang-Moo Lim, KyeongMin Kim
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List-mode data was synchronized with respiratory gating trigger signal from external monitoring system (Biovet). MRI study was performed using 3-T clinical MRI system (Magnetom Tim Trio) with human wrist coil. Coronal MRI images were acquired using T2-weighted turbo spin echo (TSE) sequence with respiratory triggering. The parameter is as follow settings: TR = 1000 ms, TE = 36 ms, FA = 20. We analyzed moving pattern and variation of movement in lung and liver region following respiratory cycle in both of PET and MRI images. Moving patterns in PET image were different in accordance with where molecular sieve was placed. The variation of lung and liver internal motion was 0.93 and 0.52 in PET image, respectively. Estimated organ motion in MRI image revealed moving pattern based on respiratory cycle. The maximum variation of lung and liver region was 1.75 and 1.36 in MRI image, respectively. 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引用次数: 0
摘要
多模态影像中的急性器官运动估计提高了肿瘤的诊断和治疗质量。它在与肺、肝等器官相关的不自主运动中尤为重要。本研究的目的是比较放射性分子筛PET图像和MRI图像对啮齿动物区域特定运动的影响。分子筛含有0.37 MBq F-18,并包被水凝胶。将分子筛置于sd大鼠肺和肝内,并附着于各脏器区域表面,比较内外运动。静脉注射FDG 37 MBq/0.2 mL后,使用小动物PET扫描仪(Inveon)进行PET研究,列表模式数据与外部监测系统(Biovet)的呼吸门控触发信号同步。MRI研究采用3-T临床MRI系统(Magnetom Tim Trio)与人体手腕线圈进行。采用呼吸触发的t2加权涡轮自旋回波(TSE)序列获取冠状面MRI图像。参数设置如下:TR = 1000ms, TE = 36ms, FA = 20。我们分析了PET和MRI图像中肺和肝区域随呼吸周期的运动模式和变化。不同位置的分子筛在PET图像上呈现不同的运动模式。肺和肝内运动的PET变化分别为0.93和0.52。在MRI图像上估计器官运动显示基于呼吸周期的运动模式。肺区和肝区在MRI图像上的最大变异分别为1.75和1.36。我们认识到不同区域的器官运动是不同的,并且在PET的两个区域的监测信号与真实运动相比被高估了。本研究表明,区域运动估计可以通过MRI图像来实现
Region-specific motion destmation in rodent using PET and MRI image
The acute organ motion estimation in multimodal imaging improves quality of diagnosis and therapy of tumor. It is particularly important in the organ related involuntary movement such as lung and liver. The aim of this study was to compare the region specific motion in rodent using radioactive molecular sieve PET image and MRI image. The molecular sieve was contained 0.37 MBq F-18 and coated with hydrogel. For comparison of internal and external motion, molecular sieve was placed inside lung and liver and attached on the surface of each organ region in SD-rat. PET study was performed using a small animal PET scanner (Inveon) after IV injection of FDG 37 MBq/0.2 mL. List-mode data was synchronized with respiratory gating trigger signal from external monitoring system (Biovet). MRI study was performed using 3-T clinical MRI system (Magnetom Tim Trio) with human wrist coil. Coronal MRI images were acquired using T2-weighted turbo spin echo (TSE) sequence with respiratory triggering. The parameter is as follow settings: TR = 1000 ms, TE = 36 ms, FA = 20. We analyzed moving pattern and variation of movement in lung and liver region following respiratory cycle in both of PET and MRI images. Moving patterns in PET image were different in accordance with where molecular sieve was placed. The variation of lung and liver internal motion was 0.93 and 0.52 in PET image, respectively. Estimated organ motion in MRI image revealed moving pattern based on respiratory cycle. The maximum variation of lung and liver region was 1.75 and 1.36 in MRI image, respectively. We recognized organ motion was different depending on the region and the monitoring signal was overestimated compared to real motion in both of region in PET. This study demonstrated that region-specific motion estimation would realize through aid of MRI images without ext