Scattered particle detecting efficiency must be raised in order to improve the image quality of Compton scattering imaging.
为改善康普顿背散射成象技术图象，必须提高散射粒子的检测效率。
We proposed a Compton scattering imaging model based on energy spectrum, and introduced a coupled gradient neural network implementation of this imaging problem.
提出了基于能量谱的康普顿散射成像模型，引入一种耦合梯度神经网络实现该模型下的康普顿散射成像。
Scattered particle detecting efficiency must be raised in order to improve the image quality of Compton scattering imaging. The ways to raise efficiency and some successful examples are given.
为改善康普顿背散射成象技术图象，必须提高散射粒子的检测效率。本文在简述理论后列举了提高散射粒子检测效率的各种途径和国外成功例子。
We proposed a Compton scattering imaging model based on energy spectrum, and introduced a coupled gradient neural network implementation of this imaging problem. Successful results were obtained.
提出了基于能量谱的康普顿散射成像模型，引入一种耦合梯度神经网络实现该模型下的康普顿散射成像。得到了成功的结果。
Compton scattering plays a very important role in X-ray imaging, it is both helpful and harmful to X-ray image contrast.
康普顿散射在X射线成像中起着非常重要的作用，它既有助于图像对比度的形成，也可能损害图像对比度。
Compton scattering can be utilized for electron density imaging.
利用康普顿散射光子能谱可以重建物质的电子密度图像。
Compton scattering can be utilized for electron density imaging.
利用康普顿散射光子能谱可以重建物质的电子密度图像。
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