2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献_第9页

Research on network fault tolerance method on chip 芯片上网络容错方法的研究

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852833

Xinchao Gu, Hua Cai, Yao Zhang, Ningbo Huang, Yong Yang

引用次数: 1

A precise time-integration for analysis of time-domain response to lossy transmission lines 用于分析有耗传输线时域响应的精确时间积分法

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852874

Xiaoke Chen, Jie Zeng, Jin-quan Zhao, Zhuo Wang, Huanrui Liu

{"title":"A precise time-integration for analysis of time-domain response to lossy transmission lines","authors":"Xiaoke Chen, Jie Zeng, Jin-quan Zhao, Zhuo Wang, Huanrui Liu","doi":"10.1109/CISP-BMEI.2016.7852874","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852874","url":null,"abstract":"The precise integration method is a semi analytical solution method of partial differential equation method. Based on the precise integration method, the lossy transmission line transient response analysis method is a time domain analysis method. The lossy transmission line transient response analysis method can easily deal with the transmission line problems, which is difficult for the nonzero initial value and nonlinear load frequency domain method to deal with, but it is still difficult to deal with the reactance load of transmission line. By separating and integrating the beginning and terminal conditions of the precise integration method, and introducing time domain adjoint model of the various kinds of load, this paper solves the problems of the load reactance of transmission line, also solves the transmission line problems of long time transition, short circuit and open circuit, which greatly improves the precise integration method for the analysis of the efficacy of transmission lines in time domain response. Finally, the correctness of the presented method is illustrated by the application examples, which provide a theoretical basis for the time domain analysis of the transient response of the transmission line.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"440 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116016223","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: 2

Camera image quality assessment without reference information 没有参考信息的摄像机图像质量评估

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852793

Lijuan Tang, Hong Lu, Ke Gu, Kezheng Sun

引用次数: 1

Improve signal peptide prediction by using functional domain information 利用功能域信息改进信号肽预测

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7853012

Yi-Ze Zhang, Hongbin Shen

引用次数: 0

Thickness measurements of ten intra-retinal layers from optical coherent tomography images using a super-pixels and manifold ranking approach 使用超像素和流形排序方法测量光学相干断层扫描图像中的十个视网膜内层的厚度

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852930

Zhijun Gao, Wei Bu, Xiangqian Wu, Yalin Zheng

{"title":"Thickness measurements of ten intra-retinal layers from optical coherent tomography images using a super-pixels and manifold ranking approach","authors":"Zhijun Gao, Wei Bu, Xiangqian Wu, Yalin Zheng","doi":"10.1109/CISP-BMEI.2016.7852930","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852930","url":null,"abstract":"The purposes of this paper are to calculate exactly the mean thickness, plot the thickness maps, and depict the early treatment diabetic retinopathy study (ETDRS) charts for ten intra-retinal layers by spectral domain optical coherence tomography(OCT). Using our previously the reported segmented method with a simple linear iterative clustering (SLIC) super-pixels and manifold ranking (SLIC_MR), the ten intra-retinal layers were fast and exactly segmented in 3-D OCT dataset, includes 55 B-scan images from 11 different healthy adult subjects. By our definitions of the sensitivity and specificity, we compared the segmented results with the recent graph-based method for the main layers in dataset. The experimental results demonstrated that the SLIC_MR method outperformed the graph-based method. The thickness maps were plotted in the ten intra-retinal layers and the overall layer, the ETDRS charts were depicted in the 9 sectors of each intra-retinal layer and the overall layer, and the bar graph displayed the mean and standard deviation of macular thickness in 9 sectors for ten retinal layers and the overall layer. The mean thickness of the central foveal area displayed the minimum thickness in layers 1, 2, 3, 4, 5 and the overall, and the maximum thickness in the central foveal area of the 6th layer. Both layers 4 and 5 have the similar mean thickness in each sector.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124162549","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: 2

A double-terminal fault location algorithm based on precise integration method 一种基于精确积分法的双端故障定位算法

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852854

Jianhua Yin, Jin-quan Zhao, L. Fan, Ping Hong, Hao Zhou

引用次数: 1

Photoacoustic imaging: A potential new tool for diagnosing vasculogenic erectile dysfunction 光声成像:诊断血管源性勃起功能障碍的潜在新工具

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852929

Liang Mao, Dakun Lai, Qi Xu, Chunliu Xie

{"title":"Photoacoustic imaging: A potential new tool for diagnosing vasculogenic erectile dysfunction","authors":"Liang Mao, Dakun Lai, Qi Xu, Chunliu Xie","doi":"10.1109/CISP-BMEI.2016.7852929","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852929","url":null,"abstract":"Erectile dysfunction (ED) is a frequent disorder in aging men, affecting men's physical and mental health seriously. Generally, clinical diagnosis of the physical ED need image of penile vessels to distinguish vasculogenic ED disorders from psychological disorders so as to determine an appropriate treatment. The aim of this study is to present a novel photoacoustic microscopy (PAM) for imaging of vasculogenic ED with a high resolution and a high sensitivity. In this work, a vessel phantom using a carbon pencil and ten animals' penis models isolated from health rats both were prepared carefully. A home-made PAM platform was builted for rat's penile vessels, and the corresponding two dimensional (2D) PAM image was obtained for each model. Particularly, an imaging capability of a high spatial resolution of five hundreds microns with high contrast was obtained. The preliminary imaging results of isolated penis vessel clearly indicated that the method of photoacoustic imaging would be a useful diagnostic tool for assessing vasculogenic ED and could improve the diagnosis of venous leakage visualization by combining structural and functional imaging.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126401220","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

Online dynamic magnetic resonance imaging based on radial sampling and GPU acceleration 基于径向采样和GPU加速的在线动态磁共振成像

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852777

Xu Wang, Zhaoyang Jin

{"title":"Online dynamic magnetic resonance imaging based on radial sampling and GPU acceleration","authors":"Xu Wang, Zhaoyang Jin","doi":"10.1109/CISP-BMEI.2016.7852777","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852777","url":null,"abstract":"In many fields of MRI (Magnetic Resonance Imaging), especially in DMRI (Dynamic MRI) domain, long acquisition time often limits its clinical applications. The new online MRI technique can obviously accelerate the imaging time for DMRI based on under-sampling acquisition and sparsity performance between neighbor frames. The data acquisition of previous online MRI schemes was based on the Cartesian coordinate. Non-Cartesian sampling, such as radial sampling, can obtain higher data acquisition speed than conventional Cartesian sampling. In order to further accelerate the imaging speed for online MRI, radial under-sampling instead of Cartesian under-sampling, was proposed to shorten the data acquisition time for DMRI. However the reconstruction of non-Cartesian data is complicated and time consumed, so GPU (Graphics Processing Unit) was used to shorten the reconstruction time. In this primary study, the full sampled cardiac dataset was used as a reference dataset, radial under-sampling with 25% and 10% k-space coverage was simulated for the online imaging scheme. The results show that radial under-sampling scheme obtained higher image quality than that of Cartesian acquisition scheme, with its imaging time still satisfying online reconstruction after applying GPU acceleration.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121448083","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: 2

Intuitive volume rendering on mobile devices 在移动设备上直观的体绘制

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852799

Yuchen Xin, H. Wong

引用次数: 2

Design and realization of a video monitoring system based on the intelligent behavior identify technique 基于智能行为识别技术的视频监控系统的设计与实现

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI: 10.1109/CISP-BMEI.2016.7852796

Xiangzhi Liu, Yifan Hu, Fu-Qiang Wang, Yan Liang, Hong Liu

引用次数: 1