In order to improve the imaging quality of terahertz(THz) spectroscopy, Terahertz Composite Imaging Method(TCIM) is proposed. The traditional methods of improving THz spectroscopy image quality are mainly from the asp...In order to improve the imaging quality of terahertz(THz) spectroscopy, Terahertz Composite Imaging Method(TCIM) is proposed. The traditional methods of improving THz spectroscopy image quality are mainly from the aspects of de-noising and image enhancement. TCIM breaks through this limitation. A set of images, reconstructed in a single data collection, can be utilized to construct two kinds of composite images. One algorithm, called Function Superposition Imaging Algorithm(FSIA), is to construct a new gray image utilizing multiple gray images through a certain function. The features of the Region Of Interest(ROI) are more obvious after operating, and it has capability of merging ROIs in multiple images. The other, called Multi-characteristics Pseudo-color Imaging Algorithm(Mc Pc IA), is to construct a pseudo-color image by combining multiple reconstructed gray images in a single data collection. The features of ROI are enhanced by color differences. Two algorithms can not only improve the contrast of ROIs, but also increase the amount of information resulting in analysis convenience. The experimental results show that TCIM is a simple and effective tool for THz spectroscopy image analysis.展开更多
目的分析急性脑梗死并发上消化道出血患者预后的影响因素。方法选取2015年3月-2022年10月在徐州医科大学附属医院住院且符合纳入及排除标准的住院期间并发上消化道出血的急性脑梗死患者94例为研究对象。采用改良Rankin量表(mRS)评分通...目的分析急性脑梗死并发上消化道出血患者预后的影响因素。方法选取2015年3月-2022年10月在徐州医科大学附属医院住院且符合纳入及排除标准的住院期间并发上消化道出血的急性脑梗死患者94例为研究对象。采用改良Rankin量表(mRS)评分通过电话随访以评价发病90 d预后情况,按照发病90 d mRS评分是否≤2分,分为预后良好组(44例)和预后不良组(50例)。收集患者的临床资料和实验室检查资料,并计算患者的老年人营养风险指数(geriatric nutritional risk index,GNRI)评分。采用多因素logistic回归分析影响急性脑梗死并发上消化道出血患者预后的影响因素;采用受试者工作特征(ROC)曲线分析GNRI对急性脑梗死并发上消化道出血患者的预测价值。结果预后不良组既往饮酒、丘脑或脑干梗死、大面积脑梗死、出血量≥800 mL、入住ICU等占比、入院美国国立卫生研究院卒中量表(National Institute of Health stroke scale,NIHSS)评分、出院NIHSS评分明显高于预后良好组,血红蛋白、白蛋白、GNRI明显低于预后良好组,差异有统计学意义(P<0.05)。多因素logistic回归分析显示,饮酒(OR:7.169,95%CI:1.677~30.645,P=0.008)、丘脑或脑干梗死(OR:99.255,95%CI:14.190~694.273,P<0.001)是急性脑梗死并发上消化道出血患者预后的独立危险因素;GNRI(OR:0.823,95%CI:0.741~0.914,P<0.001)是急性脑梗死并发上消化道出血患者预后的保护因素。GNRI评估急性脑梗死并发上消化道出血患者预后不良的曲线下面积为0.798(P<0.05)。结论饮酒、丘脑或脑干梗死、GNRI是急性脑梗死并发上消化道出血患者预后不良的独立危险因素。急性脑梗死并发上消化道出血患者营养不良与预后风险增加有关。GNRI有助于评估急性脑梗死并发上消化道出血患者预后。展开更多
基金National defense technical basic research project,Terahertz Detection Technology and Application Research on Ceramic Matrix Composites(JSZL2015411C002).
文摘In order to improve the imaging quality of terahertz(THz) spectroscopy, Terahertz Composite Imaging Method(TCIM) is proposed. The traditional methods of improving THz spectroscopy image quality are mainly from the aspects of de-noising and image enhancement. TCIM breaks through this limitation. A set of images, reconstructed in a single data collection, can be utilized to construct two kinds of composite images. One algorithm, called Function Superposition Imaging Algorithm(FSIA), is to construct a new gray image utilizing multiple gray images through a certain function. The features of the Region Of Interest(ROI) are more obvious after operating, and it has capability of merging ROIs in multiple images. The other, called Multi-characteristics Pseudo-color Imaging Algorithm(Mc Pc IA), is to construct a pseudo-color image by combining multiple reconstructed gray images in a single data collection. The features of ROI are enhanced by color differences. Two algorithms can not only improve the contrast of ROIs, but also increase the amount of information resulting in analysis convenience. The experimental results show that TCIM is a simple and effective tool for THz spectroscopy image analysis.
文摘目的分析急性脑梗死并发上消化道出血患者预后的影响因素。方法选取2015年3月-2022年10月在徐州医科大学附属医院住院且符合纳入及排除标准的住院期间并发上消化道出血的急性脑梗死患者94例为研究对象。采用改良Rankin量表(mRS)评分通过电话随访以评价发病90 d预后情况,按照发病90 d mRS评分是否≤2分,分为预后良好组(44例)和预后不良组(50例)。收集患者的临床资料和实验室检查资料,并计算患者的老年人营养风险指数(geriatric nutritional risk index,GNRI)评分。采用多因素logistic回归分析影响急性脑梗死并发上消化道出血患者预后的影响因素;采用受试者工作特征(ROC)曲线分析GNRI对急性脑梗死并发上消化道出血患者的预测价值。结果预后不良组既往饮酒、丘脑或脑干梗死、大面积脑梗死、出血量≥800 mL、入住ICU等占比、入院美国国立卫生研究院卒中量表(National Institute of Health stroke scale,NIHSS)评分、出院NIHSS评分明显高于预后良好组,血红蛋白、白蛋白、GNRI明显低于预后良好组,差异有统计学意义(P<0.05)。多因素logistic回归分析显示,饮酒(OR:7.169,95%CI:1.677~30.645,P=0.008)、丘脑或脑干梗死(OR:99.255,95%CI:14.190~694.273,P<0.001)是急性脑梗死并发上消化道出血患者预后的独立危险因素;GNRI(OR:0.823,95%CI:0.741~0.914,P<0.001)是急性脑梗死并发上消化道出血患者预后的保护因素。GNRI评估急性脑梗死并发上消化道出血患者预后不良的曲线下面积为0.798(P<0.05)。结论饮酒、丘脑或脑干梗死、GNRI是急性脑梗死并发上消化道出血患者预后不良的独立危险因素。急性脑梗死并发上消化道出血患者营养不良与预后风险增加有关。GNRI有助于评估急性脑梗死并发上消化道出血患者预后。
