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Dive into the research topics where Tang Xiao is active.

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Featured researches published by Tang Xiao.


Chinese Physics C | 2012

Computed laminography and reconstruction algorithm

Que Jiemin; Cao Daquan; Zhao Wei; Tang Xiao; Sun Cuili; Wang Yanfang; Wei Cunfeng; Shi Rongjian; Wei Long; Yu Zhong-Qiang; Yan Yonglian

Computed laminography (CL) is an alternative to computed tomography if large objects are to be inspected with high resolution. This is especially true for planar objects. In this paper, we set up a new scanning geometry for CL, and study the algebraic reconstruction technique (ART) for CL imaging. We compare the results of ART with variant weighted functions by computer simulation with a digital phantom. It proves that ART algorithm is a good choice for the CL system.


Chinese Physics C | 2011

Beam hardening correction for a cone-beam CT system and its effect on spatial resolution

Zhao Wei; Fu Guo-Tao; Sun Cuili; Wang Yanfang; Wei Cunfeng; Cao Daquan; Que Jiemin; Tang Xiao; Shi Rongjian; Wei Long; Yu Zhong-Qiang

In this paper, we present a beam hardening correction (BHC) method in three-dimension space for a cone-beam computed tomography (CBCT) system in a mono-material case and investigate its effect on the spatial resolution. Due to the polychromatic character of the X-ray spectrum used, cupping and streak artifacts called beam hardening artifacts arise in the reconstructed CT images, causing reduced image quality. In addition, enhanced edges are introduced in the reconstructed CT images because of the beam hardening effect. The spatial resolution of the CBCT system is calculated from the edge response function (ERF) on different planes in space. Thus, in the CT images with beam hardening artifacts, enhanced ERFs will be extracted to calculate the modulation transfer function (MTF), obtaining a better spatial resolution that deviates from the real value. Reasonable spatial resolution can be obtained after reducing the artifacts. The 10% MTF value and the full width at half maximum (FWHM) of the point spread function with and without BHC are presented.


Chinese Physics C | 2012

Monte Carlo simulation of glandular dose in a dedicated breast CT system

Tang Xiao; Zhao Wei; Wang Yanfang; Shu Hang; Sun Cuili; Wei Cunfeng; Cao Daquan; Que Jiemin; Shi Rongjian; Wei Long

A dedicated breast CT system (DBCT) is a new method for breast cancer detection proposed in recent years. In this paper, the glandular dose in the DBCT is simulated using the Monte Carlo method. The phantom shape is half ellipsoid, and a series of phantoms with different sizes, shapes and compositions were constructed. In order to optimize the spectra, monoenergy X-ray beams of 5–80 keV were used in simulation. The dose distribution of a breast phantom was studied: a higher energy beam generated more uniform distribution, and the outer parts got more dose than the inner parts. For polyenergtic spectra, four spectra of Al filters with different thicknesses were simulated, and the polyenergtic glandular dose was calculated as a spectral weighted combination of the monoenergetic dose.


气候与环境研究 | 2016

基于观测、模拟和同化数据的PM2.5污染回顾分析

黄思; Huang Si; 唐晓; Tang Xiao; 王自发; Wang Zifa; 陈焕盛; Chen Huansheng; 刘冰; Liu Bing; 朱江; Zhu Jiang

基于观测数据空间插值、数值模拟以及最优插值同化方法构建了京津冀地区PM2.5(空气动力学当量直径小于等于2.5 μm的颗粒物,即细颗粒物)空间插值数据、模拟数据和同化数据,并首次比较分析了三种数据在PM2.5污染回顾分析上的应用潜力和优缺点。针对2014年2月19~28日京津冀地区PM2.5污染过程的分析发现:(1)观测空间插值数据难以完整表征PM2.5污染的时空演变特征,在没有观测覆盖区域误差较大,容易出现虚假的高低值中心;(2)模拟数据具有较高时空分辨率,对PM2.5污染时空演变特征描述更加细致,但在这次污染过程中仍存在较大不确定性,其均方根误差大于100 μg/m 3 ;(3)同化数据不仅能对PM2.5空间分布特征进行细致描述,其数据精度在独立验证站点也显著高于模拟数据,其均方根误差比模拟数据低约50%,与站点观测数据的相关系数也比模拟数据高0.2以上。基于PM2.5同化数据,对这次京津冀PM2.5污染过程的时空演变特征进行了详细回顾分析,发现这次污染过程存在自京津冀南部PM2.5污染累积并向北输送发展的生成特点,消亡过程为风向转换下自北向南清除,造成京津冀南部城市先污染后清除,北部城市后污染先清除,并且有慢累积、快清除的特征。从发展演变过程中污染所占空间面积来看,25日PM2.5污染范围最大,覆盖模式第三区域60.5%面积。


Chinese Physics C | 2010

Tuning of the cosmic-ray test system of the BESIII drift chamber

Wu Zhi; Liu Jian-bei; Qin Zhonghua; Wu Ling-Hui; Chen Chang; Chen Yuan-Bo; Chen Ma-li; Chen Xihui; Dong Mingyi; Guan Bei-Ju; Huang Jie; Jiang Xiao-shan; Jin Yan; Li Fei; Li Ren-Ying; Li Xiao-Nan; Lei Guang-kun; Liu Rong-Guang; Luo Xiao-Lan; Ma Xiao-Yan; Sheng Hua-yi; Sun Han-Sheng; Tang Xiao; Wang Lan; Wang Liang; Xu Mei-Hang; Zhang Jian; Zhang Hongyu; Zhang Yin-Hong; Zhao Yu-Bin

The BESIII drift chamber and its subsystems need a cosmic-ray test after the chamber construction to check the chamber construction quality, testing the joint operation of the whole system and the performance of the chamber. The noise performance, drift time and charge measurements, and the scanning of channels were examined specifically. The preliminary results of the test indicate that the whole system works well.


Archive | 2014

Mammary gland die body with chest wall radiation dose measurement function

Shu Hang; Wei Cunfeng; Wang Yanfang; Tang Xiao; Qin Xiubo; Yuan Lulu; Yang Shengyu; Wang Zhe; Meng Fanhui; Zhao Wei; Wei Long


Archive | 2017

武汉地区2014年PM 2.5 时空分布与来源贡献的数值模拟研究

卢苗苗; Lu Miaomiao; 唐晓; Tang Xiao; 王自发; Wang Zifa; 梁胜文; Liang Shengwen; 郝建奇; Hao Jianqi; 周慧; Zhou Hui; 李飞; Li Fei; 胡柯; Hu Ke; 胡世祥; Hu Shixiang; 李蒲; Li Pu; 刘汉华; Liu Hanhua; 田建军; Tian Jianjun


Qihou yu Huanjing Yanjiu | 2016

Evaluating the PM2.5 Pollution over Beijing-Hebei-Tianjin Region Based on Observations, Simulations, and Data Assimilation Results

Huang Si; Tang Xiao; Wang Zifa; Chen Huansheng; Liu Bing; Zhu Jiang


Qihou yu Huanjing Yanjiu | 2016

観測・シミュレーション・同化データに基づくPM2.5汚染の回顧的分析【JST・京大機械翻訳】

Huang Si; Tang Xiao; Wang Zifa; Chen Huansheng; Liu Bing; Zhu Jiang


Archive | 2015

Limitations of ozone data assimilationwith adjustment of NOx emissions: mixedeffects on NO2 forecast over Beijing andsurrounding areas

Hu Bo; Lin Caiyan; Zhu Jiang; Tang Xiao; Xin Jinyuan; Song Tao; Wang Zifa; Alex Gbaguidi

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Wang Yanfang

Chinese Academy of Sciences

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Wei Cunfeng

Chinese Academy of Sciences

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Wei Long

Chinese Academy of Sciences

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Zhao Wei

Chinese Academy of Sciences

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Cao Daquan

Chinese Academy of Sciences

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Que Jiemin

Chinese Academy of Sciences

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Shi Rongjian

Chinese Academy of Sciences

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Shu Hang

Chinese Academy of Sciences

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Sun Cuili

Chinese Academy of Sciences

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Zhu Jiang

Chinese Academy of Sciences

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