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检索条件"任意字段=Conference on Visualization in Biomedical Computing"

共 893 条记录，以下是661-670 订阅

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biomedical computing and visualization 03

Biomedical computing and visualization

引用

International conference on Parallel Architecture and Compilation Techniques (PACT)

作者： C. Johnson Scientific Computing and Imaging Institute University of Utah USA

No abstract available.

ISBN: (纸本)9780769520216

No abstract available.

关键词： biomedical computing Data visualization biomedical imaging Large-scale systems Scientific computing Problem-solving Diffusion tensor imaging Computational geometry Cardiology Neuroscience

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Proceedings Seventh International conference on Information visualization - IV 2003 - International conference on Computer visualization and Graphics Applications

Proceedings Seventh International Conference on Information ...

引用

International conference on Information Visualisation (IV)

The following topics are dealt with: computer graphics application; rendering; visual data mining; digital art; graph theory application; geovisualization; Web graphics; semantic Web visualization; medical information visualization; business information visualization; collaborative information visualization; augmented virtual reality; multimedia visualization.

关键词： visualization Rendering (computer graphics) Art biomedical computing Graph theory Internet Business data processing Collaborative work Virtual reality Multimedia computing

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Relative performance of geometric search algorithms for interpolating unstructured mesh data

引用

Medical Image computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International conference Proceedings

作者： Khoshniat, Mahdieh Stuhne, Gordan R. Steinman, David A. Imaging Research Labs. Robarts Research Institute University of Western Ontario London Ont. Canada Biomedical Engineering Program University of Western Ontario London Ont. Canada

ISBN: (纸本)3540204644

Interpolation of field data from unstructured meshes requires the potentially expensive identification of the finite element or volume within which the interpolating point lies. A number of geometric search algorithms have been proposed to reduce this expense at the cost of setting up and storing additional search tables. Using tetrahedral finite element models we show that a structured auxiliary mesh (SAM) algorithm can achieve search speeds well in excess of 100,000 points/sec - at least an order of magnitude better than digital tree or nearest neighbour searches - with only modest setup times and storage requirements. Our novel SAM variant is found to offer the best performance per unit of storage, but at the expense of considerable setup times. We conclude that SAM algorithms can be used to provide a flexible "software-only" approach for real-time interpolation and visualization of unstructured mesh data.

关键词： Data reduction

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3D reconstruction of coronary artery using biplane angiography

3D reconstruction of coronary artery using biplane angiograp...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： A.K.W. Law Hui Zhu F.H.Y. Chan Biomedical Engineering Centre Department of Electrical & Electronic Engineering University of Hong Kong Hong Kong China Department of Biomedical Engineering Duke University NC USA

In this paper, we present a new method for the 3D reconstruction and visualization of coronary arteries in biplane angiography. The proposed method performs direct reconstruction of 3D coronary artery pathways without computing the 2D or 3D vessel centerlines. A front propagation algorithm is used to reconstruct the coronary artery pathways in 3D space. Starting from one or more 3D points, the front is expanded with a propagation speed controlled by the combined image information from two 2D projections. Then the reconstructed 3D coronary artery pathways are smoothed to reflect the real situation of a smoothed vessel surface. As shown in the experiment result, the coronary artery can be successfully reconstructed from two projections of biplane angiograms.

关键词： Arteries Angiography Image reconstruction visualization biomedical engineering Surface reconstruction X-ray imaging biomedical computing Quantum cellular automata Coronary arteriosclerosis

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A visualization oriented data mining tool for biomedical images

A visualization oriented data mining tool for biomedical ima...

引用

IEEE International conference on Information Reuse and Integration (IRI)

作者： M. Gokhale Y.A. Aslandogan S. Taylor Department of Computer Science and Engineering The University of Texas at Arlington Department of Computer Science and Engineering The University of Texas at Arlington USA Department of Dermatology University of Texas Southwestern Medical Center USA

We present a visualization oriented data mining tool designed for biomedical images with focus objects. The main functions of the tool are accessible via two interfaces: Query by Example and Query by Features. Each interface has visual feedback functions associated with it. The query-by-example interface allows the user to do similarity search using multiple image features. The visual feedback consists of positions of feature values in the database population distribution. Classification incorporates a measure of uncertainty that is based on class differentiation quality. Visual feedback includes visualizations of class likelihoods and uncertainty. Query-by-features interface helps the user explore the relationships among features and diagnoses. The visual feedback includes example images of extreme feature values, images from the database that satisfy query criteria and diagnoses distribution charts. Overall, the tool is designed to increase awareness of visual indicators of health risk in biomedical images. While the present application is focused on skin cancer awareness, the ideas are applicable to other types of biomedical images with focus objects, such as breast tumor and wound images.

关键词： Data visualization Data mining biomedical imaging Feedback Focusing Image databases Spatial databases Visual databases biomedical measurements Measurement uncertainty

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Visualising pathophysiological simulation with a virtual patient

Visualising pathophysiological simulation with a virtual pat...

引用

International conference on Information Visualisation (IV)

作者： A. Simo M. Cavazza Virtual Systems Laboratory University of Gifu Japan School of Computing and Mathematics University of Teesside UK

We present a new approach to computer-aided training in medicine based on the visualisation of simulated clinical conditions using a virtual patient. Our system uses a knowledge-based model of cardiac physiology to generate realistic emergency situations (shock states). The overall results of the simulations are presented through a realistic 3D virtual patient whose behaviour and appearance are consistent with the clinical data generated. After introducing the principles behind the simulation and the system's architecture, we describe the process through which physiological parameters are mapped to the visual appearance of the 3D patient and discuss representative results from the system.

关键词： visualization Medical simulation biomedical imaging Medical diagnostic imaging Computational modeling Surgery Cardiology Electric shock Humans Computer simulation

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Human computer interaction through consolidation and visualization for order entry systems

Human computer interaction through consolidation and visuali...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： S. Toyoda N. Niki H. Nishitani Medical computer system unit SANYO Electric Co. Ltd. Tokyo Japan Department of optical science and technology University of Tokushima Tokushima Japan School of medicine University of Tokushima Tokushima Japan

In this paper, we propose a human computer interaction model through consolidation and visualization for order entry systems. This model makes effective use of the patient database and features 1) the consolidation of order data, 2) the visualization of the order data two or more contextual viewpoints, and 3) a new data entry and decision support function which consists of several data validation functions. The proposed model supports doctors' comprehension of order data by presenting the diversity, continuity, and regularity. This model has been incorporated into the order entry system and is now being run on an experimental basis. The effectiveness of this system was verified by the questionnaire survey from doctors and the analysis of consolidation.

关键词： Human computer interaction Data visualization Data mining Hospitals History Laboratories Optical computing biomedical optical imaging Context modeling Visual databases

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Mental registration of 2D and 3D visualizations (an empirical study)

Mental registration of 2D and 3D visualizations (an empirica...

引用

IEEE conference on visualization

作者： M. Tory Graphics Usability and Visualization (GRUVI) lab School of Computing Science Simon Fraser University Canada

2D and 3D views are used together in many visualization domains, such as medical imaging, flow visualization, oceanographic visualization, and computer aided design (CAD). Combining these views into one display can be done by: (1) orientation icon (i.e., separate windows), (2) in-place methods (e.g., clip and cutting planes), and (3) a new method called ExoVis. How 2D and 3D views are displayed affects ease of mental registration (understanding the spatial relationship between views), an important factor influencing user performance. This paper compares the above methods in terms of their ability to support mental registration. Empirical results show that mental registration is significantly easier with in-place displays than with ExoVis, and significantly easier with ExoVis than with orientation icons. Different mental transformation strategies can explain this result. The results suggest that ExoVis may be a better alternative to orientation icons when in-place displays are not appropriate (e.g., when in-place methods hide data or cut the 3D view into several pieces).

关键词： Three dimensional displays Computer displays Two dimensional displays biomedical imaging Data visualization Graphical user interfaces Navigation Computer graphics Usability User interfaces

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Current issues of photorealistic rendering for virtual and augmented reality in minimally invasive surgery

Current issues of photorealistic rendering for virtual and a...

引用

International conference on Information Visualisation (IV)

作者： D. Stoyanov M. ElHelw B.P. Lo A. Chung F. Bello Guang-Zhong Yang Visual Information Processing Group Department of Computing Imperial College London London UK Department of Surgical Oncology and Technology Imperial College London London UK

In surgery, virtual and augmented reality are increasingly being used as new ways of training, preoperative planning, diagnosis and surgical navigation. Further development of virtual and augmented reality in medicine is moving towards photorealistic rendering and patient specific modeling, permitting high fidelity visual examination and user interaction. This coincides with the current development in computer vision and graphics where image information is used directly to render novel views of a scene. These techniques require extensive use of geometric information about the scene and provide a comprehensive review of the underlying techniques required for building patient specific models with photorealstic rendering. It also highlights some of the opportunities that image based modeling and rendering techniques can offer in the context of minimally invasive surgery.

关键词： Minimally invasive surgery Augmented reality Rendering (computer graphics) Layout Navigation biomedical imaging Medical diagnostic imaging Computer vision Computer graphics Solid modeling

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biomedical pattern discovery and visualisation based on self-adaptive neural networks

Biomedical pattern discovery and visualisation based on self...

引用

IEEE EMBS International conference on Information Technology Applications in Biomedicine (ITAB)

作者： Haiying Wang F. Azuaje N. Black School of Computing and Mathematics University of Ulster UK Faculty of Informatics University of Ulster UK

With the rapid growth of the amount of biomolecular data, there is an increasing need to develop powerful techniques to enhance pattern discovery capabilities of bioscientists and machines. Based on a self-adaptive neural network, this paper presents a new approach to biomolecular pattern identification and visualisation. The method is applied to the classification of leukaemia samples, which are described by their expression profiles. The results indicate that this framework may significantly facilitate and improve pattern discovery and visualisation tasks, in comparison to traditional algorithms such as the Kohonen self-organising map.

关键词： Neural networks Bioinformatics Biological system modeling Data visualization Gene expression Genomics Data mining Artificial neural networks Sequences Quantization

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