An Automated Measurement of Image Slice Thickness of Computed Tomography

IF 0.6 Q4 NUCLEAR SCIENCE & TECHNOLOGY
S. Sofiyatun, C. Anam, Ummu Mar'atu Zahro, D. A. Rukmana, G. Dougherty
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引用次数: 9

Abstract

Measurement of the slice thickness in computed tomography (CT) is usually made using a special phantom, such as the AAPM CT performance phantom. Images of the phantom are analyzed manually and subjectively. The purpose of this study is to develop an automated system for measuring the slice thickness of the CT image of the phantom using MATLAB software. The CT AAPM performance phantom was scanned by a 128 multi-slice computed tomography scanner (Revolution Evo, GE Healthcare, Waukesha, WI) at a slice thickness of 5 mm with four different phantom orientations and also scanned by a 6 multi-slice CT scanner (Somatom Emotion 6, Siemens AG, Forchheim, Germany) for two slice thicknesses of 5 and 10 mm. Our automat ed method produce d an accurate slice thickness value less than 0.5 mm different from the nominal slice thicknesses and manual measurements. Similar results were obtained when the phantom was rotated. This system is more objective and effective compared to manual systems.
计算机断层扫描图像切片厚度的自动测量
计算机断层扫描(CT)中切片厚度的测量通常使用特殊的体模,例如AAPM CT性能体模。人工和主观地分析体模的图像。本研究的目的是使用MATLAB软件开发一个用于测量体模CT图像切片厚度的自动化系统。CT AAPM性能体模由128多层计算机断层扫描仪(Revolution Evo,GE Healthcare,Waukesha,WI)以5mm的切片厚度以四种不同的体模方向扫描,还由6多层CT扫描仪(Somatom Emotion 6,Siemens AG,Forchheim,Germany)以5mm和10mm的两种切片厚度扫描。我们的自动化方法产生的准确切片厚度值与标称切片厚度和手动测量值相差不到0.5 mm。当旋转体模时获得了类似的结果。与手动系统相比,该系统更加客观有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Atom Indonesia
Atom Indonesia NUCLEAR SCIENCE & TECHNOLOGY-
CiteScore
1.00
自引率
0.00%
发文量
20
审稿时长
16 weeks
期刊介绍: The focus of Atom Indonesia is research and development in nuclear science and technology. The scope of this journal covers experimental and analytical research in nuclear science and technology. The topics include nuclear physics, reactor physics, radioactive waste, fuel element, radioisotopes, radiopharmacy, radiation, and neutron scattering, as well as their utilization in agriculture, industry, health, environment, energy, material science and technology, and related fields.
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