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IEEE International Conference on Mechatronics and Automation

作者： Linqin Cai Yining Sun Tao Mei Zuchang Ma Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines University of Science and Technology Hefei China Institute of Computer Application Chinese Academy of Engineering and Physics Mianyang China Institute of Intelligent Machine Chinese Academy and Sciences Hefei China

Frequent mine gas incident in China fully shows there must be many undiscovered essential factors in all previous gas incident investigations. Exploring a new analysis approach is vital to prevent and control mine gas emergency. A Bayesian decision-theoretic causation analysis method was introduced to study the mine gas incident. A typical gas explosion case was explained. The interaction law of human, machine, environment, and management factors causing mine gas incident was discussed. The evolution process of the connotative factors from the uncertain state to the certain state was discovered, and the relationships between the external factors and the internal factors were revealed

关键词： Bayesian methods Explosions Decision theory Machine intelligence Humans Environmental management Fault trees US Department of Transportation Automation Biomimetics

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Modeling and Analyzing Multi-agent Task Plans for Intelligent Virtual Training System using Petri Nets

Modeling and Analyzing Multi-agent Task Plans for Intelligen...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Linqin Cai Tao Mei Yining Sun Lei Sun Zuchang Ma Department of Automation Center for Biomimetic Sensing and Control Research Center for Biomimetic Sensing and Control ResearchChinese Academy of sciences University of Science and Technology of China Hefei China Institute of Computer Application Chinese Academy of Engineering and Physics Mianyang China

Integrated virtual reality with intelligent tutoring system, a multi-agent architecture was proposed for intelligent virtual training system (IVTS) for mine safety training. In order to make sure IVTS agent's task plans reliable and adaptive, a Petri nets-based declarative method was applied to model the virtual training task planning knowledge, which was represented as task planning knowledge Petri nets (TP-PNets), and an algorithm was implemented to construct TP-PNets. Then, hierarchy colored Petri nets (HCPN) was used to model multi-agent task planning behaviors for IVTS, and simulation and message sequence chart was used to analyze and verify the agent task planning HCPN model

关键词： Intelligent systems Petri nets Machine intelligence Virtual reality Railway safety Sun Biomimetics Automatic control Control systems computer architecture

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Tissue Mixture Characterization In The Presence of Mri Inhomogeneity by the Em Algorithm

Tissue Mixture Characterization In The Presence of Mri Inhom...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Z. Liang L. Li D. Eremina H. Lu Department of Computer Science State University of New York Stony Brook NY USA Department of Engineering Science and Physics College of Staten Island City University of New York Staten Island NY USA Departments of Radiology State University of New York Stony Brook NY USA Stony Brook University Stony Brook NY US Department of Biomedical Engineering/Computer Application Fourth Military Medical University Xi'an Shaanxi China

This paper presents a model-based approach to correct for both partial volume effect and inhomogeneity in segmenting tissue mixtures inside each voxel of magnetic resonance images. A maximum a posteriori probability (MAP) solution is sought. In calculating the solution, the well-known expectation maximization (EM) algorithm is employed. The models of data likelihood and Markov priors for tissue mixture and bias field in establishing this MAP-EM framework are described in details. A preliminary test is presented

关键词： Magnetic resonance imaging Random variables Biomedical engineering Image segmentation Magnetic resonance Numerical models Radiology computer science Mathematics Physics

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Real-time organ motion tracking and fast image registration system for MRI-guided surgery

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Systems and computers in Japan 2006年第1期37卷 83-92页

作者： Tokuda, Junichi Hirano, Masaya Tsukamoto, Tetsuji Dohi, Takeyoshi Hata, Nobuhiko Graduate School of Information Science and Technology University of Tokyo Tokyo 113-8656 Japan GE Yokogawa Medical Systems Ltd. Hino 191-8503 Japan International Society for Computer-Aided Surgery Japan Society for Computer-Aided Surgery Japan Society for Magnetic Resonance in Medicine GE Yokogawa Medical Systems Ltd. Imaging Application Tech. Center MR Group R and D Laboratory Technology Center GE Yokogawa Medical Systems Ltd. Society for Magnetic Resonance in Medicine Graduate School of Information Science and Technology Society for Life Support Technology Japan Society for Organ Preservation Biology and Medicine Society for Precision Engineering Society for Medical Image Computing and Computer Assisted Intervention International Union for Physics and Engineering Sciences in Medicine JSMEBE Japan Society for Life Assistance Technology Brigham and Women's Hospital Harvard Medical School MR Therapy Program

The advantage of magnetic resonance imaging (MRI)-guided surgery, in which MR images taken during surgery are used to guide the surgery, has been recognized recently. However, there is a problem, due to long imaging time of MRI, that it is difficult to capture the respiratory organ motion. It is often a constraint that the patient must hold his or her breath, especially in the treatment of the abdominal region. Consequently, this paper proposes a method of eliminating this constraint in MRI-guided surgery by real-time monitoring of the movement of the organ involved in the surgery by means of the signal derived from MRI. Specifically, the navigator echo is extracted in imaging during surgery. The movement of the organ involved in surgery is detected on the basis of the change in the calculated projection profile, and the results are presented to the surgeon. In this study, the procedure is built into a 1.5-T clinical MRI system. The feasibility of the proposed system was examined under clinical conditions by evaluating its accuracy and delay in a phantom experiment, and also in an in vivo experiment on the liver of a volunteer. The results are reported in this paper. © 2005 Wiley Periodicals, Inc.

关键词： Motion estimation

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An Improved Electronic Colon Cleansing Method for Detection of Polyps by Virtual Colonoscopy

An Improved Electronic Colon Cleansing Method for Detection ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Zigang Wang Xiang Li Lihong Li Bin Li D. Eremina Hongbing Lu Zhengrong Liang Departments of Radiology State University of New York Stony Brook NY USA Department of Radiation Oncology Columbia University New York NY USA Department of Engineering Science and Physics City College of Staten Island City University of New York New York NY USA Applied Mathematics and Statistics State University of New York Stony Brook NY USA Department of Computer Application/BME Fourth Military Medical University Xi'an Shaanxi China Physics and Astronomy State University of New York Stony Brook NY USA Physics and Astronomy State University of New York New York NY USA

Electronic colon cleansing (ECC) aims to segment the colon lumen from the patient abdominal image acquired with colonic material tagging by oral contrast and other means, so that a virtual colon model can be constructed. Virtual colonoscopy (VC) navigates through the colon model looking for polyps in a similar manner as the fiber optic colonoscopy does. We had built an ECC pipeline for the commercial VC system of Viatronix Inc. In this paper, we present an improved ECC method. It is based on a partial-volume image-segmentation framework, which is derived using the well-established statistical expectation-maximization algorithm. The presented ECC method was evaluated by both visual inspection on the cleansed colon lumens and computer-aided detection of polyps (CADpolyp) using 20 patient datasets. Compared to our previous ECC pipeline, this presented new method demonstrates improvement in both visual judgment and CADpolyp

关键词： Colon Colonic polyps Virtual colonoscopy Pipelines Image segmentation Abdomen Optical materials Tagging Navigation Optical fibers

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Towards a framework for the design of high quality web services

Towards a framework for the design of high quality web servi...

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11th Australasian World Wide Web Conference, AusWeb 2005

作者： Nolan, Mark Srinivasan, B. Application Maintenance Services IBM Australia Melbourne 3000 Australia School of Computer Science and Software Engineering Monash University Australia

In this paper we propose some web service design criteria which can be used in application design to produce high quality web services. We describe currently available methods for determining if web services meet those criteria. The verification methods we describe can be either undertaken using peer review processes or performed by automated utilities. Web services that meet these criteria will be both useful and useable in the production environment.

关键词： Web services

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Performance improvement of turbo code based on the extrinsic information transition characteristics

Performance improvement of turbo code based on the extrinsic...

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10th IMA International Conference on Cryptography and Coding

作者： Kim, Woo Tae Kang, Se Hoon Joo, Eon Kyeong School of Electrical Engineering and Computer Science Kyungpook National University Daegu 702-701 Korea Republic of Application Engineer Organization Agilent Technologies Korea Ltd. Seoul 150-711 Korea Republic of

ISBN: (纸本)354030276X

Good performance of turbo code can be obtained by updating extrinsic information in the iterative decoding process. At first, transition patterns are categorized by the characteristics of extrinsic information in this paper. The distribution of these patterns is surveyed according to signal-to-noise ratio. The dominant error pattern is determined based on the results. And error performance improvement is expected by correcting it. Thus, a scheme to correct the bit with the lowest extrinsic information is proposed and analyzed. The performance is improved as expected from simulation results as compared to the conventional scheme especially in error floor region. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Turbo codes

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A knowledge-based fuzzy clustering method with adaptation penalty for bone segmentation of CT images

A knowledge-based fuzzy clustering method with adaptation pe...

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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Wang, Dongming Lu, Hongbing Zhang, Junying Liang, Jerome Z. IEEE School of Computer Science and Engineering Xidian University Xi'an Shaanxi 710071 China Department of Computer Application Fourth Military Medical University Xi'an Shaanxi 710032 China Radiology Department State University of New York Stony Brook NY 11794 United States

ISBN: (纸本)0780387406

Accurate segmentation is critical in many advanced imaging applications such as volume determination, radiation therapy, 3D rendering, and surgery planning. However, due to the complex anatomical structure of tissue and organs, as well as artifacts caused by patient motion, beam hardening, and partial volume effect in CT image, the boundaries between different regions are smeared. In addition, the intensities of bone voxels vary widely that some of them are so close to that of the muscle. They all make the extraction of bone out of surrounding tissue quite difficult in CT images. In this study, a knowledge-based fuzzy clustering method was proposed, which was formulated by modifying the objective function of the standard fuzzy c-means (FCM) algorithm with additive adaptation penalty. Since the membership of voxels in boundary regions is intrinsically fuzzy, unsupervised fuzzy clustering methods turns out to be particularly suitable for handling the bone segmentation problem. The knowledge-based fuzzy clustering method was tested by patient CT images. Experimental results demonstrated that while the conventional FCM methods might loss a significant amount of bone volume during segmentation, the proposed method could improve the performance of bone extraction significantly. © 2005 IEEE.

关键词： computerized tomography

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Multi-agent system negotiation based on expanded contract net protocol research

Multi-agent system negotiation based on expanded contract ne...

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IEEE International Conference on Natural Language Processing and Knowledge engineering (NLP-KE)

作者： Hanlun Wang Yadong Wang Computer teaching and application center China Youth University for Political Sciences Beijing China School of computer science and engineering Harbin Institute of Technology Harbin China

Multi-agent system (MAS) is an important research field of distributed artificial intelligence. MAS negotiation is one of the key contents in MAS research. Combining with traditional contract net protocol, acquaintance model, acquaintance coalition inner task allocation distributed optimization algorithm, bulletin board model of agent information exchange with different knowledge and agent mental state parameters, this paper presents a new multi-agent system negotiation model based on expanded contract net protocol and introduces the design and implementation of it in detail.

关键词： Multiagent systems Contracts Protocols Resource management Broadcasting Distributed computing Costs Large-scale systems computer applications Education

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Metabolic visualization and intelligent shape analysis of the hippocampus

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International Conference on Computational Intelligence and Security, CIS 2005

作者： Choi, Yoo-Joo Kim, Jeong-Sik Kim, Min-Jeong Choi, Soo-Mi Kim, Myoung-Hee Institute for Graphic Interfaces Ewha-SK Telecom Building 11-1 Daehyun-Dong Seodaemun-Ku Seoul Korea Republic of Department of Computer Science and Engineering Ewha Womans University Daehyun-Dong Seodaemun-Ku Seoul Korea Republic of Center for Computer Graphics and Virtual Reality Ewha Womans University Daehyun-Dong Seodaemun-Ku Seoul Korea Republic of School of Computer Engineering Sejong University Seoul Korea Republic of Department of Computer Application Technology Seoul University of Venture and Information Seoul Korea Republic of

ISBN: (纸本)3540308199

This paper suggests a prototype system for visualization and analysis of anatomic shape and functional features of the hippocampus. Based on the result of MR-SPECT multi-modality image registration, anatomical and functional features of hippocampus are extracted from MR and registered SPECT images, respectively. The hippocampus is visualized in 3D by applying volume rendering to hippocampus volume data extracted from the MR image with color coded by registered SPECT image. In order to offer the objective and quantitative data concerning to the anatomic shape and functional features of the hippocampus, the geometric volume and the SPECT intensity histogram of hippocampus regions are automatically measured based on the MR and the registered SPECT image, respectively. We also propose a new method for the analysis of hippocampal shape using an integrated Octree-based representation, consisting of meshes, voxels, and skeletons. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image analysis

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