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1.
64层螺旋CT肺部高分辨率图像质量影响因素的体模研究 总被引:1,自引:1,他引:0
目的 分析影响肺部高分辨率CT(HRCT)图像质量的主要因素,探讨常规肺部容积扫描条件下获得HRCT图像质量的可行性.方法 应用64层CT对Catphan500模具进行连续、重复扫描.对比内容:扫描方式(轴面扫描、螺旋扫描)、kV值(140、120 kV)、层厚(1.25、5.00 mm,其中5.00 mm图像折分为1.25 mm)、重建算法(骨+算法、肺算法).评价内容:空间分辨率、密度分辨率、图像噪声.统计分析采用析因设计方差分析.结果 扫描方式在密度分辨率(轴面扫描:11.44±0.04;螺旋扫描:12.61±0.04)、图像噪声(轴面扫描:5.89±0.05;螺旋扫描:6.92±0.05)上差异均有统计学意义(F值分别为539.61、179.02,P值均<0.01),轴面扫描密度分辨率高于螺旋扫描,图像噪声低于螺旋扫描;重建算法间在空间分辨率(骨+:9.90±0.09;肺:7.40±0.09)、密度分辨率(骨+:11.39±0.04;肺:12.65±0.04)、图像噪声(骨+:6.55±0.05;肺:6.28±0.05)上差异均具有统计学意义(F值分别为375.00、627.95、13.97,P值均<0.05),骨+算法优于肺算法但噪声值略高.结论 容积扫描在密度分辨率、图像噪声控制上较传统HRCT稍差,但在空间分辨率上容积扫描骨+算法重建与HRCT图像质量相当,用于显示肺内细节时容积高分辨率CT可代替常规HRCT. 相似文献
2.
Effects of scanning and reconstruction parameters on image quality in electron-beam CT angiography: coronary artery phantom study 总被引:2,自引:0,他引:2
RATIONALE AND OBJECTIVES: This study compared the image quality obtained with different scanning and reconstruction parameters for electron-beam computed tomographic (CT) angiography and sought optimal methods for visualizing the coronary artery lumen. MATERIALS AND METHODS: Electron-beam CT angiography with contrast material enhancement was used to image 35 branches of fresh postmortem swine coronary arteries. Different collimation widths, fields of view (FOVs), reconstruction kernels, and algorithms were employed to reconstruct the acquired raw data into CT angiographic images. Image quality was compared and analyzed. RESULTS: The contrast-to-noise ratios (C/Ns) for 1.5-, 2-, and 3-mm section thickness were 28.4 +/- 15.2, 31.9 +/- 9.3, and 33.8 +/- 14.5, respectively (P < .05). The lengths of visualized coronary artery lumina were significantly longer for 1.5-mm scanning (71.6 mm +/- 4.3) than for 2-mm (58.3 mm +/- 5.5) and 3-mm scanning (59.0 mm +/- 8.0) (P < .01). The C/Ns for 12.7-, 18.0-, and 26.0-cm FOV reconstruction were 32.8 +/- 9.9, 28.9 +/- 8.2, and 27.1 +/- 8.2, respectively (not significant), and the visualized luminal lengths were 76.1 mm +/- 12.5, 71.7 mm +/- 14.6, and 65.4 mm +/- 13.1, respectively (not significant). The highest C/N (48.2 +/- 13.3) was achieved with smooth kernels and a cone-beam algorithm, and the lowest (14.7 +/- 3.4) with very sharp kernels and a normal algorithm. Cone-beam algorithm images had significantly higher C/Ns than did normal algorithm images (P < .001), and they demonstrated longer coronary artery lumina (P < .01). CONCLUSION: Collimation width, FOV, reconstruction kernels, and algorithms are important in the processing of high-quality electron-beam coronary angiograms. A 1.5-mm collimation width, 12.7-cm FOV, cone-beam reconstruction algorithm, and very sharp kernels should help in obtaining the best image quality and depicting the longest segments of coronary artery lumen. 相似文献
3.
A L?ve M-L Olsson R Siemund F St?lhammar I M Bj?rkman-Burtscher M S?derberg 《The British journal of radiology》2013,86(1031)