Comparison of three different techniques for dual-energy subtraction imaging in digital radiography: a signal-to-noise analysis.

Comparison of three different techniques for dual-energy subtraction imaging in digital radiography: a signal-to-noise analysis.
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数字放射线照相中双能量减影成像三种不同技术的比较:信噪比分析。

DOI:
10.1007/bf03167808
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发表时间:
1992
影响因子:
4.4
通讯作者:
Gur,D
Gur,D
中科院分区:
工程技术2区
文献类型:
--
作者:
Shaw,CC;Gur,D

文献摘要

相似文献

双能量减影成像技术允许在两个单独的图像中可视化和研究患者的组织和骨结构,从而消除与两个结构重叠相关的模糊。此外,它们允许将减影图像信号用于量化组织和骨厚度。因此,双能量减影成像的能力通常与新的数字射线照相系统结合。双能量图像减影成像技术有三种不同的方法。其中,双千伏(峰值)[kV(p)]和三明治探测器技术已被广泛使用的两种方法。第三种方法是单kV(p)双滤波器技术,其允许对光谱进行一些灵活控制,同时避免狭缝扫描成像中kV(p)值切换的技术复杂性。在这份报告中,与这三种技术相关的噪声特性进行了研究和比较,通过计算作为kV(p)值和滤波器厚度的函数的减影图像信号中的噪声方差。结果发现,双kVp技术的结果在最小的噪声减影图像,而双滤波器技术的结果在略低于噪声减影图像比三明治检测器技术。在优化kV(p)值和滤波器厚度之后,双滤波器和夹层检测器技术导致的噪声水平分别比双kV(p)技术高约三倍和四倍。
Dual-energy subtraction imaging techniques allow the tissue and bone structures in the patient to be visualized and studied in two separate images, thus removing the obscurity associated with overlapping of the two structures. In addition, they allow the subtraction image signals to be used for quantifying the tissue and bone thicknesses. Thus, capability for dual-energy subtraction imaging is often incorporated with new digital radiography systems. There are three different approaches to dual-energy image subtraction imaging techniques. Among them, the dual-kilovolt (peak) [kV(p)] and sandwich detector techniques have been two widely used approaches. A third approach is the single-kV(p) dual-filter technique, which allows some flexible control of the spectra while avoiding the technical complexity of kV(p) value switching in slitscan imaging. In this report, the noise properties associated with these three techniques are studied and compared by computing the noise variances in the subtraction image signals as a function of the kV(p) values and filter thicknesses. It was found that the dual-kVp technique results in the least noisy subtraction images, whereas the dual-filter technique results in slightly less noisy subtraction images than the sandwich detector technique. Following optimization of the kV(p) value and filter thicknesses, the dual-filter and sandwich detector techniques result in a noise level of approximately three and four times higher than that resulted from the dual-kV(p) technique, respectively.