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Optimal contrast of computed tomography portal venography using dual-energy computed tomography

机译:使用双能计算机断层扫描的计算机断层扫描门静脉造影的最佳对比

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OBJECTIVE: The objective of this study was to evaluate image quality of computed tomography (CT) portal venography using nonlinear blending technique of dual-energy CT (DECT) in portal phase. METHODS: Fifty patients underwent contrast-enhanced abdominal scan with DECT at portal venous phase. The images of 2 energy levels were mixed by a nonlinear blending filter defined by blending center (BC) and blending width (BW) and compared with linear mixing images with a ratio of 0.5. Image quality was evaluated by the images' contrast-to-noise ratios (CNRs) and the grade of visible branches of portal vein (grades 1-6). The BC and BW were optimized for the best CNRs. RESULTS: The portal-to-hepatic contrast was significantly higher when the average of the liver and portal vein CT values was chosen as the BC, and 0 to 20 Hounsfield units were chosen as the BW than when using the default mixing values (80.04 [SD, 28.09] vs 38.55 [SD, 14.49] Hounsfield units, P < 0.001). In the optimized images using the nonlinear mixing technique, the mean CT values for the portal venous system and the CNRs were significantly greater than those of the linear mixing images (P < 0.001). A visible branch grade 5 or greater was assigned to 76% of the patients in the optimized group and 36% of the patients in the default linear mixing group. This difference was significant (P < 0.01). CONCLUSIONS: The nonlinear blending technique of DECT can improve the image quality of portal venography and show more branches of portal vein without changing the conventional scan protocol.
机译:目的:本研究的目的是在门期使用双能CT(DECT)非线性混合技术评估计算机断层扫描(CT)门静脉造影的图像质量。方法:50例患者在门静脉期接受了DECT对比增强腹部扫描。使用由混合中心(BC)和混合宽度(BW)定义的非线性混合滤波器混合2个能级的图像,并与比率为0.5的线性混合图像进行比较。通过图像的对比度-噪声比(CNR)和门静脉可见分支的等级(1-6级)评估图像质量。 BC和BW已针对最佳CNR进行了优化。结果:与使用默认混合值时相比,选择肝脏和门静脉CT值的平均值作为BC,选择0到20 Hounsfield单位作为BW时,门与肝的对比显着更高。 SD,28.09] vs 38.55 [SD,14.49] Hounsfield单位,P <0.001)。在使用非线性混合技术的优化图像中,门静脉系统和CNR的平均CT值显着大于线性混合图像(P <0.001)。优化组中76%的患者和默认线性混合组中36%的患者分配了5级或更高的可见分支等级。这种差异是显着的(P <0.01)。结论:DECT的非线性融合技术可以改善门静脉造影的图像质量,并显示更多的门静脉分支,而无需更改常规扫描协议。

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