智能神经衰减校正对脑PET图像质量及标准化摄取值的影响

发布时间：2018-05-30 15:29

本文选题：正电子发射断层显像术 + 体层摄影术　；参考：《中国医学影像学杂志》2015年09期

【摘要】：目的智能神经衰减校正(SNAC)是一种新型的计算型衰减校正方法,本文采用视觉分析和Scenium软件定量分析SNAC及CT衰减校正(CTAC)图像,评估SNAC在脑PET显像中对图像质量及标准化摄取值(SUV)的影响。资料与方法58例行全身PET/CT受检者,分别用CTAC和SNAC重建脑PET图像,并采用视觉分析和Scenium软件定量分析。比较两种方法的图像对比度、均一度及不同脑区平均SUV值,分析两种方法平均SUV值的相关性。结果与CTAC比较,视觉分析SNAC图像对比度和均一度无显著差异;Scenium软件定量分析,SNAC图像对比度较CTAC稍提高,但差异无统计学意义(4.19±1.11比4.08±1.03,t=0.764,P0.05);SNAC的图像均一度较CTAC略降低(1.00比0.83)。SNAC法各脑区平均SUV值大于CTAC法,但两者呈显著正相关(r=0.978,P0.01),线性回归分析结果一致(R2=0.959)。与CTAC比较,SNAC各脑区平均SUV值平均百分差为8.45±4.71,但10个脑区百分差变异较大(-8.56~27.93);方差分析结果显示不同脑区的平均百分差差异有统计学意义(F=119.084,P0.01),外周脑区平均百分差大于内侧脑区。结论 SNAC和CTAC的图像质量无明显差异,SNAC不同程度地提高了各脑区的平均SUV值,但与CTAC结果呈显著正相关,SNAC简化了检查流程,降低了辐射剂量,如仅用于定性诊断,对患者有利。
[Abstract]:Objective the intelligent neural attenuation correction (SNAC) is a new computational attenuation correction method. In this paper, SNAC and CT attenuation correction images are quantitatively analyzed by visual analysis and Scenium software. To evaluate the effect of SNAC on image quality and standardized uptake in brain PET imaging. Materials and methods 58 patients with systemic PET/CT underwent CTAC and SNAC reconstruction of brain PET images respectively. Visual analysis and Scenium software were used to quantitatively analyze the images. The image contrast, the average SUV values of the two methods were compared, and the correlation of the average SUV values between the two methods was analyzed. Results compared with CTAC, there was no significant difference in contrast and average of visual analysis SNAC images. The contrast of SNAC images was slightly higher than that of CTAC in quantitative analysis of SNAC images by Scenium software. However, there was no significant difference in the images of SNAC between 4.19 卤1.11 and 4.08 卤1.03t ~ (0.764U) P0.05A, which was slightly lower than that of CTAC. The average SUV value of each brain area of the 0.83).SNAC method was higher than that of the CTAC method, but there was a significant positive correlation between the two methods. The results of linear regression analysis were consistent with the results of the linear regression analysis. Compared with CTAC, the average percentage difference of SUV in all brain regions was 8.45 卤4.71, but there was a greater variation in the percentage difference in 10 brain regions than in the medial brain area. The results of variance analysis showed that there were significant differences in the mean percentage difference between the different brain regions (P 0.01), and the average difference of the peripheral brain area was greater than that of the medial brain area. Conclusion there is no significant difference in image quality between SNAC and CTAC. SNAC can improve the average SUV value of different brain regions to some extent, but it has a significant positive correlation with the results of CTAC. SNAC simplifies the examination procedure and reduces the radiation dose. If it is used only for qualitative diagnosis, it is beneficial to the patients.
【作者单位】：苏州大学附属第三医院核医学科;
【分类号】：R817.4

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