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Role of coronary CT imaging diagnosis of coronary functional stenosis 冠状动脉CT成像对冠状动脉功能性狭窄的诊断价值
Journal of Image Processing Theory and Applications Pub Date : 2021-08-18 DOI: 10.23977/JIPTA.2021.41006
Zhiyi Chen
{"title":"Role of coronary CT imaging diagnosis of coronary functional stenosis","authors":"Zhiyi Chen","doi":"10.23977/JIPTA.2021.41006","DOIUrl":"https://doi.org/10.23977/JIPTA.2021.41006","url":null,"abstract":"Coronary heart disease is a major disease harmful to human health, and coronary angiography, as the gold standard for the diagnosis of coronary heart disease, can directly observe the degree of coronary artery diameter stenosis. However, the invasive and expensive cost of coronary angiography limits its clinical application, and some studies have shown that coronary anatomical stenosis can not fully reflect the myocardial ischemia, and put forward the concept of functional stenosis. With the development of CT technology, coronary artery CT angiography has become a new method to detect functional stenosis. This paper reviews the role of coronary artery CT angiography in the detection of functional coronary artery stenosis.","PeriodicalId":115159,"journal":{"name":"Journal of Image Processing Theory and Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130385324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Classification and Extraction of Rural Green Coverage Based on Object-based High-resolution Remote Sensing Images 基于地物的高分辨率遥感影像农村绿色覆盖度分类与提取
Journal of Image Processing Theory and Applications Pub Date : 1900-01-01 DOI: 10.23977/jipta.2023.060102
{"title":"Classification and Extraction of Rural Green Coverage Based on Object-based High-resolution Remote Sensing Images","authors":"","doi":"10.23977/jipta.2023.060102","DOIUrl":"https://doi.org/10.23977/jipta.2023.060102","url":null,"abstract":"","PeriodicalId":115159,"journal":{"name":"Journal of Image Processing Theory and Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114507362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote Sensing Image Segmentation and Extraction Based on U-Net Convolutional Neural Network Model 基于U-Net卷积神经网络模型的遥感图像分割与提取
Journal of Image Processing Theory and Applications Pub Date : 1900-01-01 DOI: 10.23977/jipta.2023.060201
Chengpeng Xiong, Jiaqi Huang
{"title":"Remote Sensing Image Segmentation and Extraction Based on U-Net Convolutional Neural Network Model","authors":"Chengpeng Xiong, Jiaqi Huang","doi":"10.23977/jipta.2023.060201","DOIUrl":"https://doi.org/10.23977/jipta.2023.060201","url":null,"abstract":": Remote sensing images are essential for quickly acquiring large-scale ground information. Segmentation and extraction of high-resolution remote sensing images are widely used in many fields, such as agricultural monitoring, urban and rural planning, and map production and updating. In this paper, a U-Net convolutional neural network model is built on the Tensor Flow framework. A data enhancement strategy is specially designed for the training task of remote sensing image parcel segmentation to enhance the model's generalization ability. The experimental results choose accuracy as the evaluation index, and the final model accuracy can reach 0.9440. The remote sensing image parcel segmentation method proposed in this paper has high training efficiency and is suitable for high-accuracy remote sensing image segmentation and extraction.","PeriodicalId":115159,"journal":{"name":"Journal of Image Processing Theory and Applications","volume":"7 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120808667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Simultaneous PIV and PLIF in Study of Flow Field System PIV和PLIF在流场系统研究中的应用
Journal of Image Processing Theory and Applications Pub Date : 1900-01-01 DOI: 10.23977/jipta.2023.060202
Ya’nan Gao, Qin Li, Yin-long Huo, Ying Wang
{"title":"Application of Simultaneous PIV and PLIF in Study of Flow Field System","authors":"Ya’nan Gao, Qin Li, Yin-long Huo, Ying Wang","doi":"10.23977/jipta.2023.060202","DOIUrl":"https://doi.org/10.23977/jipta.2023.060202","url":null,"abstract":": As a synchronous measurement technique for flow-field velocity and scalar measurements, PIV-PLIF (Particle Image Velocimetry-Planar Laser Induced Fluorescence) can provide detailed data support for complex flow with unsteady and strong three-dimensional space. The development and application of this technology in home and abroad in recent years are comprehensively reviewed. We first introduce the origin and working principle of particle image velocimetry technology and planar laser-induced fluorescence technology, and then discuss the current research status of PIV-PLIF, and then show the typical application of PIV-PLIF synchronous measurement method in engineering application. Finally, the application prospect and development trend of PIV-PLIF synchronous measurement technology are discussed. The combination of image velocimetry and planar laser-induced fluorescence is a trend of experimental hydrodynamics.","PeriodicalId":115159,"journal":{"name":"Journal of Image Processing Theory and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125889604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Discussion on Related Key Technologies in Distributed Remote Sensing Image Processing 分布式遥感图像处理相关关键技术探讨
Journal of Image Processing Theory and Applications Pub Date : 1900-01-01 DOI: 10.23977/jipta.2023.060107
{"title":"Discussion on Related Key Technologies in Distributed Remote Sensing Image Processing","authors":"","doi":"10.23977/jipta.2023.060107","DOIUrl":"https://doi.org/10.23977/jipta.2023.060107","url":null,"abstract":"","PeriodicalId":115159,"journal":{"name":"Journal of Image Processing Theory and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130803547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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