检索结果-内蒙古大学图书馆

Appearance-order-based schema matching

Journal of computing Science and Engineering 2014年第2期8卷 94-106页

作者： Ding, Guohui Cao, keyan Wang, Guoren Han, Dong Department of Computer Science Shenyang Aerospace University Shenyang China Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang China College of Information Science and Engineering Northeastern University Shenyang China National Marine Data and Information Service Tianjin China

Schema matching is widely used in many applications, such as data integration, ontology merging, data warehouse and dataspaces. In this paper, we propose a novel matching technique that is based on the order of attributes appearing in the schema structure of query results. The appearance order embodies the extent of the importance of an attribute for the user examining the query results. The core idea of our approach is to collect statistics about the appearance order of attributes from the query logs, to find correspondences between attributes in the schemas to be matched. As a first step, we employ a matrix to structure the statistics around the appearance order of attributes. Then, two scoring functions are considered to measure the similarity of the collected statistics. Finally, a traditional algorithm is employed to find the mapping with the highest score. Furthermore, our approach can be seen as a complementary member to the family of the existing matchers, and can also be combined with them to obtain more accurate results. We validate our approach with an experimental study, the results of which demonstrate that our approach is effective, and has good performance. © 2014. The Korean Institute of Information Scientists and Engineers.

关键词： Data integration

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An automatic partitioning method of CTA head-neck image

An automatic partitioning method of CTA head-neck image

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World Congress on intelligent Control and Automation (WCICA)

作者： Gong Zhaoxuan Tan Wenjun Yang Jinzhu Xu Meng jia Bian Zijian Zhao Da-zhe Key laboratory of Medical Image Computing University of Northeastern Springfield Nostate China

The segmentation of vessel in CTA is a challenging task mainly due to bone contact from different regions. The proposed method considers a spatial structure features based partition algorithm which can be separated into three sub-volumes. Firstly, a region growing method was brought forward to remove the background interference, and then added up the bone pixel number in the canter region of head image with specific rules to separate from the proximal layer and the middle layer. Finally, the structure feature of bone profile in neck image was used to separate from middle layer and the distal layer. The experiment results illustrate that the proposed method effectively separate the CTA head-neck image into three sub-volumes in terms of real-timeness, effectiveness and robustness.

关键词： Bones Head Arteries Neck image segmentation Biomedical imaging Partitioning algorithms

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A Novel Level Set Method for Segmentation of Left and Right Ventricles from Cardiac MR images

A Novel Level Set Method for Segmentation of Left and Right ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Yu Liu Chunming Li Shuxu Guo Yihua Song Yue Zhao Center for Image Processing and Computer Vision Jilin University Center for Biomedical Image Computing and Analytics University of Pennsylvania Center for Key Laboratory of Medical Image Computing Ministry of Education Northeastern University

ISBN: (纸本)9781424479276

In this paper, we propose a novel level set method for segmentation of cardiac left and right ventricles based on the distance regularized level set evolution (DRLSE) framework [7] and the distance regularized two-layer level set (DR2LS) model [17]. First, DRLSE is applied to obtain a preliminary segmentation of left and right ventricles, which is then used to initialize the endocardial contour, which is represented by the zero level contour of the level set function in our method. Then, the epicardial contour is represented by a different level contour of the same level set function. These two level sets are optimized by an energy minimization process to best fit the true endocardium and epicardium. In order to ensure smoothly varying distance between the two level contours, we introduce a distance regularization constraint in the energy function. With the region-scalable fitting (RSF) energy [8] as the data term, our method is able to deal with intensity inhomogeneities in the images, which is a main source of difficulty in image segmentation. Our method has been tested on cardiac MR images with promising results.

关键词： Level set image segmentation Nonhomogeneous media Biomedical imaging Educational institutions Myocardium

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Improved Hessian multiscale enhancement filter

Improved Hessian multiscale enhancement filter

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作者： Yang, Jinzhu Ma, Shuang Sun, Qi Tan, Wenjun Xu, Mengjia Chen, Nan Zhao, Dazhe Key Laboratory of Medical Image Computing of Northeastern University Ministry of Education Shenyang110819 China College of Information Science and Engineering Northeastern University Shenyang110004 China Neusoft Shenyang110819 China Department of Radiology Xuanwu Hospital Capital Medical University Beijing China

Traditional Hessian multiscale filter consider only the local geometric feature but not the global grayscale information. In medical image analysis, Hessian filter is usually used to enhance the blood vessels. However, it also produces some pseudo vascular structures or some isolate noise points, such as the nasal soft tissues that have the similar shape with the vessels in MRA data, which will increase the difficulty of cerebrovascular segmentation. To resolve this issue, an improved Hessian multiscale filter is proposed in this paper. An image grayscale factor is added to the vascular similarity function computed by Hessian matrix eigenvalue. This method is experimented on brain MRA data and lung CTA data. Experimental results show that this method can enhance vascular structures, and simultaneously reduce the appearance of the pseudo vascular structures and the isolated noise points. © 2014 - IOS Press and the authors.

关键词： Blood vessels

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Research on the Separation Process Model of Pressure Swing Adsorption for CO2/N2 with Zeolite Molecular Sieve

Research on the Separation Process Model of Pressure Swing A...

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第26届中国控制与决策会议

作者： Liying Liu Tao Du Xin Fang Shuai Che Wenjun Tan SEPA Key Lab on Eco-industry Northeastern University Key Laboratory of Medical Image Computing Ministry of EducationNortheastern University

ISBN: (纸本)9781479937097

The model of pressure swing adsorption separation process for CO2 with zeolite molecular sieve is established in this paper. The pressure swing adsorption system of CO2 is simulated with mass, gas and energy balance equations. The CO2 adsorption isotherm is fitted by Dual-site Langmuir equation. The recovery rate, productive rate and energy of the separation process is designed. Finally, the model is validated by CO2 of power plant flue gas with zeolite A and zeolite A+X. The result data of experiment and model simulation shows that our model is reliable in simulating the CO2/N2 pressure swing adsorption separation process with zeolite molecular sieve.

关键词： PSA CO2 adsorption model

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Fast 3D Skeleton Extraction of Airways and Applications to Virtual Bronchoscopy

Fast 3D Skeleton Extraction of Airways and Applications to V...

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第26届中国控制与决策会议

作者： Huan Geng Jinzhu Yang Wenjun Tan Yuliang Yuan Fangfang Han Dazhe Zhao School of Information Science &Engineering Northeastern University Key Laboratory of Medical Image Computing Ministry of EducationNortheastern University

ISBN: (纸本)9781479937097

In this paper, a novel automatic approach of computing 3D skeletons of airways is introduced, which is based on optimized double distance transform field and endpoints detection. The advanced double distance transform fields are constructed by the fast marching method(FMM). The endpoints are detected automatically combining 3D SUSAN corner detector and the local extreme value of distance from source(DFS). Furthermore, the minimum cost path scheme is used for searching a connected, one voxel thickness flight path of airways in virtual bronchoscopy. Experimental results show that the proposed method is centered, less sensitive to object noisiness, more accurate and more efficient. We have validated the robustness of the proposed method both quantitatively and qualitatively against clinical datasets.

关键词： Skeleton,Airways,Virtual Bronchoscopy,FMM,SUSAN

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Modelling and analysis the worm propagation with variable infection rate

Modelling and analysis the worm propagation with variable in...

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2014 International Conference on Communication Technology and Application(CTA2014)

作者： Y.Yao Y.Wang Y.Y.Zhang F.X.Gao Key Laboratory of Medical Image Computing of Ministry of Education Northeastern University College of Information Science and Engineering Northeastern University

ISBN: (纸本)9781845649302

Previous models regarded infection rate as a constant which failed to catch the dynamical process of the infection rates. In this paper, we proposed a SIQRS model with the variable infection rate for the first time. Then we built the corresponding equation of worm propagation and analyzed the existence and stability of worm-free equilibrium. Moreover, in order to verify the effectiveness of the new model, we showed the numerical analysis. The results of numerical analysis show the SIQRS model with the variable infection rate is consistent with the process of the worm propagation more realistically. Finally, we gave some useful strategies which may be applied to constrain the spread of Internet worms.

关键词： variable infection rate worm propagation worm-free equilibrium

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Research on Bi-node Initiation Restoration Method in Grooming Networks

Research on Bi-node Initiation Restoration Method in Groomin...

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2014 International Conference on Advanced Computer Science and Engineering(ACSE 2014)

作者： Yan-jie XUAN Shui-ling BAO Li DU Key Laboratory of Medical Image Computing of Ministry of Education Northeastern University College of Information Science and Engineering Northeastern University

This paper proposes a bi-node initiation restoration method(BNRM) against the Survivability problems of grooming networks. BNRM allows both source node and destination node of a broken connection to respectively initiate a restoration process in the event of a link failure. A complete dynamic restoration method is composed of restoration protocol and rerouting algorithm. This paper proposes the bi-node initiation restoration protocol(BNRP), and studies the dynamic grooming algorithm based on the link bundled auxiliary graph(DGAL) as the rerouting algorithm. Simulation shows that BNRM reduces the failure restoration time compared with other restoration methods without increasing request blocking rate. And traffic grooming technology can improve the failure restoration rate as well as reduce failure restoration time.

关键词： Traffic grooming Bi-node initiation restoration protocol Bi-node initiation restoration method

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Changes in brain functional network connectivity after stroke

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Neural Regeneration Research 2014年第1期9卷 51-60页

作者： Wei Li Yapeng Li Wenzhen Zhu Xi Chen Key Laboratory of Image Processing and Intelligent Control Ministry of Education Department of Control Science and Engineering Huazhong University of Science and Technology Department of Radiology Tongji HospitalTongji Medical CollegeHuazhong University of Science and Technology

Studies have shown that functional network connection models can be used to study brain net- work changes in patients with schizophrenia. In this study, we inferred that these models could also be used to explore functional network connectivity changes in stroke patients. We used independent component analysis to find the motor areas of stroke patients, which is a novel way to determine these areas. In this study, we collected functional magnetic resonance imaging datasets from healthy controls and right-handed stroke patients following their first ever stroke. Using independent component analysis, six spatially independent components highly correlat- ed to the experimental paradigm were extracted. Then, the functional network connectivity of both patients and controls was established to observe the differences between them. The results showed that there were 11 connections in the model in the stroke patients, while there were only four connections in the healthy controls. Further analysis found that some damaged connections may be compensated for by new indirect connections or circuits produced after stroke. These connections may have a direct correlation with the degree of stroke rehabilitation. Our findings suggest that functional network connectivity in stroke patients is more complex than that in hea- lthy controls, and that there is a compensation loop in the functional network following stroke. This implies that functional network reorganization plays a very important role in the process of rehabilitation after stroke.

关键词： nerve regeneration brain injury stroke motor areas functional magnetic resonanceimaging brain network independent component analysis functional network connectivity neuralplasticity NSFC grant neural regeneration

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How does four-dimensional CT spare normal tissues in non-small cell lung cancer radiotherapy by defining internal target volume?

How does four-dimensional CT spare normal tissues in non-sma...

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第八届中国肿瘤学术大会暨第十三届海峡两岸肿瘤学术会议

作者： Tong Bai Jian Zhu Yong Yin Jie Lu Huazhong Shu Lin Wang Bo Yang Department of Radiation Physics Shandong Cancer Hospital and Institute Laboratory of Image Science and Technology Southeast University Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan

Purpose To investigate how does the four-dimensional CT(4DCT)technique spare normal tissues in non-small cell lung cancer(NSCLC)radiotherapy by defining individualized internal target volume(ITV).Methods GTV and CTV w... 详细信息

关键词： NSCLC PTV How does four-dimensional CT spare normal tissues in non-small cell lung cancer radiotherapy by defining internal target volume

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