利用MSCT Siemens somatom emotion 6扫描胸廓肺窗核变异的图像质量分析

Angga Yosainto Bequet, Y. Kartikasari, S. Mulyati, Susi Tri Isnoviasih
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引用次数: 1

摘要

背景:为了能够在CT扫描中更详细地显示肺的解剖结构,胸部肺窗需要清晰的图像质量。提高图像清晰度的一种方法是使用内核设置。本研究的目的是了解核变异CT扫描胸肺窗解剖图像质量的差异,了解正确的核选择以产生CT扫描胸肺窗的最佳方法,研究类型为实验型。本研究采用胸部CT图像扫描,对b50、b60、b70、b80、u90年龄段的肺肿瘤患者进行胸部轴向肺窗切片扫描。本研究采用问卷评估的方式,对5名放射科医生作为观察者对CT扫描图像的清晰度进行测量,以确定解剖标准的清晰程度。结果:两组解剖图像质量差异有统计学意义,B50s、B60s、B70s、B80s、U90s的核变异p值<0.05。CT图像可以显示所取样本解剖图像质量最好的胸肺窗。结论:b50、b60、b70、b80、u90的核变异在解剖图像质量上存在显著差异。生成CT胸肺窗图像细节的内核是U90s内核
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANILISIS IMAGE QUALITY CT SCAN THORAX DENGAN VARIASI LUNG WINDOW KERNEL PADA MSCT SIEMENS SOMATOM EMOTION 6 IMAGE QUALITY ANALYSIS CT SCAN THORAX LUNG WINDOWS WITH KERNEL VARIATIONS USING MSCT SIEMENS SOMATOM EMOTION 6
Background: To be able to show the Lung anatomy in detail in CT Scan Thorax lung window then required a sharp image quality. One way to improve image sharpness is to use kernel settings. The purpose of research is to know the difference of the quality of anatomical image with kernel variation CT Scan Thorax Lung Window and know the proper kernel selection to produce CT scan of thorax lung windows the best Methods: Type of research is an experiment. The study was conducted using a CT image scan of thorax on axial lung window slices in cases of lung tumors in the kernel B50s, B60s, B70s, B80s, and U90s. The research was conducted by measuring the CT image quality of thorax scan on the windows lung by way of questionnaire assessment to 5 radiologist as the observer to CT Scan image to determine the level of clarity of anatomical criteria. Results: The results showed that there were significant differences in the quality of anatomical imagery with kernel variation of B50s, B60s, B70s, B80s, U90s with p-value <0.05. CT images can thorax lung windows that have the best anatomical image quality of the samples taken are shown by the use of the kernel U90s. Conclusions : There are significant differences in the quality of anatomical imagery with kernel variation of B50s, B60s, B70s, B80s, U90s. The kernel that generates image detail for CT thorax lung windows is the U90s kernel
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