GENERALIZED IMAGE COMBINATIONS IN DUAL KVP DIGITAL RADIOGRAPHY
GENERALIZED IMAGE COMBINATIONS IN DUAL KVP DIGITAL RADIOGRAPHY
复制标题
DOI：
10.1118/1.595025
复制
发表时间：
1981-01-01
期刊：
影响因子：
3.8
通讯作者：
HALL, AL
中科院分区：
文献类型：
--
作者：
LEHMANN, LA;ALVAREZ, RE;HALL, AL
双能量基分解技术适用于单投影射线成像。高能量图像和低能量图像被非线性变换以产生表征集成的康普顿/光电衰减组件的两个能量无关的图像。这两个基本图像的特征线性组合识别未知物质，取消已知物质并生成合成的单能图像。对于一大类临床成像任务，通常解决了中间材料和材料位移的问题。基本投影角从一系列能量选择成像任务中识别出一种，对比度增强因子(CEF)和信噪比(SNR)等性能指标被表示为该角度的函数。比较了高能和低能量测的分解算法，并给出了实验图像。
Dual energy basis decomposition techniques apply to single projection radiographic imaging. The high and low energy images are non-linearly transformed to generate 2 energy-independent images characterizing the integrated Compton/photoelectric attenuation components. Characteristic linear combinations of these 2 basis images identify unknown materials, cancel known materials and generate synthesized monoenergetic images. The problems of intervening materials and material displacement are solved in general for a wide class of clinical imaging tasks. The basis projection angle identifies one from a family of energy selective imaging tasks, and such performance measures as the contrast enhancement factor (CEF) and signal to noise ratio (SNR) are expressed as functions of this angle. Algorithms for the decomposition of high and low energy measurements are compared and experimental images are included.