层厚变化对巴厘岛曼达拉医院放射装置ct扫描设备图像空间分辨率的影响

IF 0.1 4区 医学 Q4 INFECTIOUS DISEASES Southeast Asian Journal of Tropical Medicine and Public Health Pub Date : 2023-08-24 DOI:10.9734/ajmah/2023/v21i10901
Ni Kadek Nova Anggarani, Ida Bagus Made Suryatika, G. N. Sutapa
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引用次数: 0

摘要

目的:通过确定CNR和SNR值,对目标和背景图像进行ROI,对ct扫描图像的空间分辨率进行切片厚度变化分析。根据ACR程序的规定,可以用几个标准来观察物体和背景的ROI大小,从而实现ct扫描图像质量的优化。学习地点和时间:2022年3月23日至5月20日期间,巴厘岛曼达拉医院的放射装置。方法:数据收集从准备使用的设备开始,即CT-Scan,头支架,幻影和计算机。之后,头部支架放置在龙门架的中间,然后在激光束(对准系统)的引导下放置幻影。将轴向梁设置在截面1的垂直线上,再将冠状梁设置在截面2的水平线上。之后,使用成人头部协议设置检查类型,并设置扫描参数为80 kV, 100 ma,切片厚度为1,2,3,4,6和8mm。准备工作完成后,接下来就是对幻肢的暴露。然后将研究数据以幻影图像的形式作为一个整体在计算机显示器上进行编程。每个切片厚度测量5次。其次是在计算机上分析数字幻影图像数据的CNR。从而可以确定对象ROI、背景ROI、对象均值、背景均值、背景标准差。结果:切片厚度越厚,CNR和SNR值越高。空气介质的CNR最高(13.70),尼龙介质的CNR最低(0.86)。同样,空气介质信噪比最高(13.84),尼龙介质信噪比最低(0.99)。空气介质的CNR和SNR最高,尼龙介质的CNR和SNR最低。结论:层厚变化影响ct扫描图像的空间分辨率,但成人头部检查的CNR和SNR值仍在1.0以上,儿童头部检查的CNR和SNR值仍在0.7以上。所以巴厘岛曼达拉医院的ct扫描图像质量仍然很好。
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Effect of Slice Thickness Variation on Spatial Resolution of CT-Scan Device Images at the Bali Mandara Hospital Radiology Installation
Aims: Slice thickness variation analysis on spatial resolution on CT-scan images by determining CNR and SNR values, by making ROI on object and background images. ROI size of objects and backgrounds can be observed with several criteria based on the provisions of the ACR program, so that optimization of CT-Scan image quality can be achieved. Place and Duration of Study: The Radiology Installation in Bali Mandara Hospital, between 23 March to 20 May 2022. Methodology: Data collection begins with preparing the equipment used, namely CT-Scan, head holder, phantom, and computer. After that, the head holder is placed in the middle of the gantry and then the phantom is placed with the guidance of the laser beam (alignment system). Set the axial beam on the vertical line of section 1 and then set the coronal beam on the horizontal line of section 2. After that, setting the type of examination using the adult head protocol and setting the scan parameters to 80 kV, 100 mAs, and slice thicknesses 1, 2, 3, 4, 6, and 8 mm. After the preparation is done then the next exposure to the phantom. Then the research data in the form of phantom images will be seen as a whole to program on the computer monitor. Measurements were made 5 times for each slice thickness. Next is to analyze the CNR of digital phantom image data on a computer. So that it can be determined object ROI, background ROI, object mean, background mean, and standard deviation of the background. Results: The results showed that the thicker the Slice Thickness, the higher the CNR and SNR values. The highest CNR value occurred in air medium (13.70) and the lowest occurred in Nylon (0.86). Likewise, the highest SNR value occurred in air medium (13.84) and the lowest in Nylon (0.99). The highest CNR and SNR values ​​occurred in air medium and the lowest occurred in Nylon.                Conclusion: Slice Thickness variations affect the spatial resolution of CT-Scan images as indicated by the CNR and SNR values however, the CNR and SNR values ​​are still above 1.0 for adult head examination and above 0.7 for children's head examination. So that the quality of CT-Scan images at Bali Mandara Hospital is still very good.
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来源期刊
Southeast Asian Journal of Tropical Medicine and Public Health
Southeast Asian Journal of Tropical Medicine and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-INFECTIOUS DISEASES
CiteScore
0.40
自引率
0.00%
发文量
0
审稿时长
3-8 weeks
期刊介绍: The SEAMEO* Regional Tropical Medicine and Public Health Project was established in 1967 to help improve the health and standard of living of the peoples of Southeast Asia by pooling manpower resources of the participating SEAMEO member countries in a cooperative endeavor to develop and upgrade the research and training capabilities of the existing facilities in these countries. By promoting effective regional cooperation among the participating national centers, it is hoped to minimize waste in duplication of programs and activities. In 1992 the Project was renamed the SEAMEO Regional Tropical Medicine and Public Health Network.
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