Classification decision tree algorithm assisting in diagnosing solitary pulmonary nodule by SPECT/CT fusion imaging

Objective To develop a classification tree algorithm to improve diagnostic performances of 99mTc-MIBI SPECT/CT fusion imaging in differentiating solitary pulmonary nodules (SPNs). Methods Forty-four SPNs, including 30 malignant cases and 14 benign ones that were eventually pathologically identified, were included in this prospective study. All patients received 99Tcm-MIBI SPECT/CT scanning at an early stage and a delayed stage before operation. Thirty predictor variables, including 11 clinical variables, 4 variables of emission and 15 variables of transmission information from SPECT/CT scanning, were analyzed independently by the classification tree algorithm and radiological residents. Diagnostic rules were demonstrated in tree-topology, and diagnostic performances were compared with Area under Curve (AUC) of Receiver Operating Characteristic Curve (ROC). Results A classification decision tree with lowest relative cost of 0.340 was developed for 99Tcm-MIBI SPECT/CT scanning in which the value of Target/Normal region of 99Tcm-MIBI uptake in the delayed stage and in the early stage, age, cough and specula sign were five most important contributors. The sensitivity and specificity were 93.33% and 78. 57e, respectively, a little higher than those of the expert. The sensitivity and specificity by residents of Grade one were 76.67% and 28.57%, respectively, and AUC of CART and expert was 0.886±0.055 and 0.829±0.062, respectively, and the corresponding AUC of residents was 0.566±0.092. Comparisons of AUCs suggest that performance of CART was similar to that of expert (P=0.204), but greater than that of residents (P<0.001). Conclusion Our data mining technique using classification decision tree has a much higher accuracy than residents. It suggests that the application of this algorithm will significantly improve the diagnostic performance of residents.     

易腾迈高性价比线性成像手持扫描器拓展条码扫描器系列产品

自动识别设备及解决方案领先供应商美国易腾迈公司（IntermecInc．纽约证券交易所代码：IN）目前宣布推出一款适用于中小型企业的简易可靠、高性价比的手持条码扫描器一SGIOT。该款全新SGIOT扫描器性能卓越，可以实现对准即拍，其采用固态成像技术轻松读取一维条码，是柜台基本扫描的最佳选择。     

机车主风缸焊缝的X射线数字成像工艺研究

介绍了X射线数字成像系统的原理和技术特点,分析了影响图像质量各因素的关系,根据影响关系选择风缸成像参数,并进行大量工艺试验和图像采集,由此优选出机车主风缸焊缝数字成像检测的最佳工艺组合。     

3D动态工业照相机成像技术定位仪工作原理解析(九)

8.光源的基本参数在给定λ1～λ2波长范围内,某光源发出的辐射通量与产生这些辐射通量所需的电功率比,称为该光源在规定光谱范围内的辐射效率,其表达式为:     

宜昌港云池港区水工码头桩基的质量检测与控制

通过常规声波测试和超声波成像技术这2种测试方法在宜昌港云池港区水工码头桩基检测中的比较运用,得出超声波成像技术在反映混凝土的密实度上具有较高的灵敏度,特别是在缺陷的准确定位上具有明显的优越性。宜昌港是全国28个主要内河港口之一,是长江黄金水道承上启下的重要枢纽。云池港区作为宜昌港的重要组成部分,是"十一五"期间全市重点基础设施项目。规划的     

埋地聚乙烯管道安全检验关键技术及工程应用

PE管道具有优良的性价比,广泛应用在能源、燃气等工程中,但因其焊接接头质量难以检测、探查难度大,使PE管道的安全状况难以控制,并导致泄漏等事故。结合国内出台的PE管道规范、标准及钢质管道检验的经验,提出了PE管道的安全检验关键技术,并介绍了部分科研成果,如PE管焊接质量超声相控阵动态聚焦和B扫查成像技术、探地雷达、泄漏检测等。文中提出的检验关键技术在某市PE燃气管网中得到了有效应用,检验出多项安全隐患,为城市燃气的安全提供了保障。     

冲击回波主频成像在箱梁孔道压浆检测中的应用

基于冲击回波法检测的基本原理及其目前在土木工程中的应用情况,结合江苏省在建高速公路中对后张法预制箱梁孔道压浆的质量检测需求,通过冲击回波法对箱梁预应力束孔管道的压浆质量进行无损检测,利用冲击回波实测主频的成像,判断后张法预制箱梁孔道预应力束金属波纹管中是否存在空隙。经过凿开验证表明,冲击回波法能准确的定性判断波纹管的位置以及预制箱梁孔道内压浆密实情况,该方法适用于预应力束孔管道的压浆质量检测。     

基于Creator/Vega的合成孔径雷达图像仿真

合成孔径雷达（SAR）成像以飞机或卫星为平台,且以全天候,全天时,可全透性等优点获取高分辨率图像,已经成为国内外研究热点,特别在军事领域有着广泛的应用前景.论文研究了合成孔径雷达成像仿真原理以及其成像仿真系统框架结构,以及地形场景模型的构建与RCS材质映射,最后通过Vega中的RadarWorks模块来模拟合成孔径雷达成像仿真,通过设置合理的参数,能够较好的仿真出真实的合成孔径雷达图像.     

基于Creator/Vega的合成孔径雷达图像仿真

合成孔径雷达(SAR)成像以飞机或卫星为平台,且以全天候,全天时,可全透性等优点获取高分辨率图像,已经成为国内外研究热点,特别在军事领域有着广泛的应用前景。论文研究了合成孔径雷达成像仿真原理以及其成像仿真系统框架结构,以及地形场景模型的构建与RCS材质映射,最后通过Vega中的RadarWorks模块来模拟合成孔径雷达成像仿真,通过设置合理的参数,能够较好的仿真出真实的合成孔径雷达图像。     

Chirp-Scaling 算法在宽带合成孔径声纳成像中局限性研究*

传统的Chirp Scaling算法主要适用于正侧视窄带的情况下的合成孔径声纳成像,但算法中采用的泰勒展开近似与调频斜率取值近似却不能适用于采用宽带发射信号的成像。论文主要针对Chirp Scaling算法的上述局限性,研究了Chirp Scaling算法对宽带SAS的影响,并进行了仿真验证。