2009 2nd International Conference on Biomedical Engineering and Informatics最新文献_第3页

Clinical Information Driven Ensemble Clustering for Inferring Robust Tumor Subtypes 临床信息驱动的集成聚类推断稳健肿瘤亚型

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305032

Hai-Yang Wang, Min Ding, Xia Li, Bairong Shen

引用次数: 2

Analysis of Bio-Impedance Measurement Method via Electromagnetic Induction Using Probe-Coil 探针线圈电磁感应生物阻抗测量方法分析

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305564

Chao Wang, C. Xu, Ming Zhang, W. Yin

引用次数: 0

Conductivity Reconstruction of Human Head Tissues by Means of MREIT MREIT在人体头部组织电导率重建中的应用

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305454

Dan-dan Yan, Jing Li

{"title":"Conductivity Reconstruction of Human Head Tissues by Means of MREIT","authors":"Dan-dan Yan, Jing Li","doi":"10.1109/BMEI.2009.5305454","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305454","url":null,"abstract":"This paper focuses on the inhomogeneous conductivity reconstruction of human head tissues by means of magnetic resonance electrical impedance tomography (MREIT). MREIT is a recently introduced and non-invasive conductivity imaging modality that combines Current Density Imaging (CDI) and traditional Electrical Impedance Tomography (EIT) techniques. MREIT, designed to deal with the well-known ill-posed problem in traditional EIT, has been applied to reconstruct the conductivities of human head tissues. We have developed two realistic geometry finite element method (FEM) head models, with five tissues including the scalp, skull, CSF, gray matter and white matter, based on the hexahedral element and the tetrahedral element, respectively. The J-substitution MREIT algorithm is used in our simulation for its easy realization. The present simulation results show that the MREIT algorithm combined with the realistic geometry FEM head model can reconstruct the inhomogeneous human head tissue conductivity distributions with higher accuracy. Our work so far suggests that the proposed MREIT algorithms can provide useful conductivity information for solving the EEG/MEG forward/inverse problems, and for further investigations on human head tissues using MREIT.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"15 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76998614","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

A New 3D Segmentation Algorithm Based on 3D PCNN for Lung CT Slices 基于三维PCNN的肺CT切片三维分割新算法

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305554

Qian Chang, Jun Shi, Zhiheng Xiao

引用次数: 5

31P MRS Data Diagnosis of Hepatocellular Carcinoma Based on Support Vector Machine 基于支持向量机的31P MRS数据诊断肝细胞癌

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5302035

Tingting Fu, Yihui Liu, Jinyong Cheng, Qiang Liu, Baopeng Li

引用次数: 0

A Reduction Method of Three-Dimensional Point Cloud 一种三维点云的约简方法

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305186

Weiwei Song, S. Cai, Bo Yang, W. Cui, Yanfang Wang

{"title":"A Reduction Method of Three-Dimensional Point Cloud","authors":"Weiwei Song, S. Cai, Bo Yang, W. Cui, Yanfang Wang","doi":"10.1109/BMEI.2009.5305186","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305186","url":null,"abstract":"Recently, non-contact measurement technology has improved significantly. With the increasing of the accuracy and the speed of data acquisition of 3D laser scanners, the amount of point data has increased dramatically . 3D laser scanners generate up to thousands of points per second, which have become a burden of both computation and store of the data. It is quite important, therefore, to reduce the amount of acquire point data and convert them into formats required by reconstruction processes while maintaining the accuracy. In this paper, we presented a convenient way to solve the problem. The scattered point cloud data is first regularized and compressed by the octree structure and then reduced further according to a curvature rule. Compared with the other reduction methods, the method presented in this paper not only reduced the arithmetic complication on space and time , but also preserved the characteristic of the original object and finished the data reduction quickly. This paper presents a novel approach of point cloud reduction based on octree structure and curvature rule. The proposed method not only reduces the amount of point data and computational complexity but also makes the point cloud data be organized, which makes it easy to be traversed and searched in reconstruction process. The proposed methods are applied to different types of surfaces and the results are discussed.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"22 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78004513","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: 6

Application of Semiconductor Quantum Dots for Breast Cancer Cell Sensing 半导体量子点在乳腺癌细胞传感中的应用

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305551

Hengyi Xu, Hua Wei, Zoraida P. Aguilar, Jamie L. Waldron, Andrew Z. Wang

引用次数: 5

Evaluation Model for Breast Cancer Susceptibly Gene and its Implementation Using Cytoscape 乳腺癌易感基因评价模型及其细胞景观实现

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305530

Yan Jiang, Chao Xu

{"title":"Evaluation Model for Breast Cancer Susceptibly Gene and its Implementation Using Cytoscape","authors":"Yan Jiang, Chao Xu","doi":"10.1109/BMEI.2009.5305530","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305530","url":null,"abstract":"Based on the analysis of some literature, this paper proposes a multi-criteria evaluation model for breast cancer susceptibility gene and implements the evaluation using Cytoscape. Most of the data come from the online supplementary table of the literature, and a little missing is completed by the BiNGO plugin of Cytoscape. The Pub Med literature search shows CDC2 gene ranked first in our final evaluation list showed by Cytoscape has a close relation with breast cancer genes. Meanwhile TopBP1 gene ranked second and HMMR gene ranked sixth are proposed as breast cancer susceptibility genes by previous research. This shows our multi-criteria evaluation model can represent the complex relationship between genes and breast cancer susceptibly correctly. So other genes in the evaluation result should also be focused on. Besides, the practical application indicates that Cytoscape is a powerful biological analytical tool. Multi-criteria decision method is mainly used to resolve the problem with multi-criteria, the characteristic of which is the non-commensurable and incompatibility between objectives. The relationship between human genes is complicated, so some criteria are needed to find out those relationships and evaluate them. The previous research has given out the evaluation measure. Consequently multi-objective evaluation can be applied to analyze the relationship between researched gene and known breast cancer genes. Multi-criteria evaluation is a method to analyze the multi- criteria decision problem. The main procedures are: determine evaluation criterion, identify attribute, construct alternative set, estimate parameter, and evaluate by some calculation method.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"84 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77222051","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

Quantified Vector Oriented Tongue Color Classification 量化矢量导向舌色分类

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305118

Bo Huang, Kuanquan Wang, Xiangqian Wu, Dongyu Zhang, Naimin Li

引用次数: 3

Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation 基于交叉谱的双相脑电图分析:用于脑电图自动解释的慢波焦点检测

2009 2nd International Conference on Biomedical Engineering and Informatics Pub Date : 2009-10-30 DOI: 10.1109/BMEI.2009.5305322

Bei Wang, T. Sugi, Xingyu Wang, A. Ikeda, T. Nagamine, H. Shibasaki, Masatoshi Nakamura

引用次数: 3