Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Yamadaoka, Suita, Osaka 565-0871, Japan.
Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Yamadaoka, Suita, Osaka 565-0871, Japan.
Acad Radiol. 2018 Jul;25(7):869-876. doi: 10.1016/j.acra.2017.11.017. Epub 2018 Jan 17.
This study aimed to assess the effect of matrix size on the spatial resolution and image quality of ultra-high-resolution computed tomography (U-HRCT).
Slit phantoms and 11 cadaveric lungs were scanned on U-HRCT. Slit phantom scans were reconstructed using a 20-mm field of view (FOV) with 1024 matrix size and a 320-mm FOV with 512, 1024, and 2048 matrix sizes. Cadaveric lung scans were reconstructed using 512, 1024, and 2048 matrix sizes. Three observers subjectively scored the images on a three-point scale (1 = worst, 3 = best), in terms of overall image quality, noise, streak artifact, vessel, bronchi, and image findings. The median score of the three observers was evaluated by Wilcoxon signed-rank test with Bonferroni correction. Noise was measured quantitatively and evaluated with the Tukey test. A P value of <.05 was considered significant.
The maximum spatial resolution was 0.14 mm; among the 320-mm FOV images, the 2048 matrix had the highest resolution and was significantly better than the 1024 matrix in terms of overall quality, solid nodule, ground-glass opacity, emphysema, intralobular reticulation, honeycombing, and clarity of vessels (P < .05). Both the 2048 and 1024 matrices performed significantly better than the 512 matrix (P < .001), except for noise and streak artifact. The visual and quantitative noise decreased significantly in the order of 512, 1024, and 2048 (P < .001).
In U-HRCT scans, a large matrix size maintained the spatial resolution and improved the image quality and assessment of lung diseases, despite an increase in image noise, when compared to a 512 matrix size.
本研究旨在评估矩阵大小对超高分辨率计算机断层扫描（U-HRCT）的空间分辨率和图像质量的影响。
对 slit 体模和 11 例尸检肺进行 U-HRCT 扫描。使用 20mm 视野（FOV）和 1024 矩阵大小以及 320mm FOV 和 512、1024 和 2048 矩阵大小重建 slit 体模扫描。使用 512、1024 和 2048 矩阵大小重建尸检肺扫描。三位观察者对整体图像质量、噪声、条纹伪影、血管、支气管和图像发现，以三分制（1=最差，3=最佳）进行主观评分。三位观察者的中位数评分采用 Wilcoxon 符号秩检验和 Bonferroni 校正进行评估。噪声进行定量测量和 Tukey 检验评估。P 值<0.05 被认为具有统计学意义。
最大空间分辨率为 0.14mm；在 320mm FOV 图像中，2048 矩阵的分辨率最高，在整体质量、实性结节、磨玻璃影、肺气肿、小叶间隔线、蜂窝肺和血管清晰度方面，明显优于 1024 矩阵（P<0.05）。2048 矩阵和 1024 矩阵的表现均明显优于 512 矩阵（P<0.001），除了噪声和条纹伪影。视觉和定量噪声均以 512、1024 和 2048 的顺序显著降低（P<0.001）。
在 U-HRCT 扫描中，与 512 矩阵相比，大矩阵大小维持了空间分辨率，提高了图像质量和肺部疾病的评估能力，尽管图像噪声增加。
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