摘要
目的常规CT胃癌病灶对比度欠佳,本研究探讨双能量CT图像融合技术在提高胃癌对比度中的应用价值。资料与方法回顾性分析30例胃癌患者的腹部双能量CT增强图像,将双能量图像进行线性及非线性融合,比较100 k Vp、140 k Vp及各组融合图中胃癌-正常胃壁对比度及对比噪声比(CNR),并对图像质量进行主观评价。结果 100 k Vp、140 k Vp及3组线性融合图胃癌对比度及CNR比较,差异有统计学意义(F=29.6、26.1,P<0.001),M=0.7时线性融合图的CNR最大。3组非线性融合图胃癌对比度及CNR比较,差异有统计学意义(F=268.5、49.5,P<0.001),BW=0 HU时图像具有最大对比度及CNR。与线性融合图相比,BW=0 HU非线性融合图对胃癌的对比度提高36%,CNR提高47%。图像主观评价中,BW=0 HU非线性融合图被最多选为适于胃癌病灶观察的图像。结论 BW=0 HU非线性融合图可以提高胃癌病灶的显示效果,对于胃癌准确分期有潜在的临床价值。
Purpose Conventional gastric CT provides poor contrast for gastric cancer lesions, the purpose of this study is to investigate the application value of dual energy CT image fusion technology in the improvement of lesion contrast in gastric cancer. Materials and Methods Abdominal dual energy contrast-enhanced CT images of 30 gastric cancer patients were retrospectively analyzed, dual-energy images were reconstructed with different linear and nonlinear fusion settings, contrast between lesions and normal gastric wall, lesion contrast to noise ratio（CNR） were compared among 100 k Vp, 140 k Vp and different fusion groups, and image quality was evaluated subjectively. Results There were statistically significant differences among the gastric cancer contrast and CNR of 100 k Vp, 140 k Vp and three linear blending images（F=29.6 and 26.1, P〈0.001）, with M=0.7 linear fusion group showing the highest CNR. The gastric cancer contrast and CNR was significantly higher with a bandwidth（BW） of 0 HU when compared among the three groups of nonlinear blending images（F=268.5 and 49.5, P〈0.001）. Moreover, the nonlinear group with a width of 0 HU had a 36% and 47% increase in lesion contrast and CNR over that of a linear blending image. In the subjective evaluation of images, the BW=0 HU nonlinear fusion image was most frequently estimated as the most preferred images for lesion observation of gastric cancer. Conclusion Nonlinear blending with a BW of 0 HU improves display of gastric cancer, and has the potential clinical value to increase the accuracy of staging.
出处
《中国医学影像学杂志》
CSCD
北大核心
2015年第12期947-950,共4页
Chinese Journal of Medical Imaging
关键词
胃肿瘤
体层摄影术
X线计算机
图像处理
计算机辅助
质量控制
Stomach neoplasms
Tomography,X-ray computed
Image processing,computer-assisted
Quality control
