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Volumetric histology data visualization and quantitative analysis

Volumetric histology data visualization and quantitative ana...

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Xuwei Liang Jing Hua Weiping Ren Department of Computer Science Wayne State University USA School of Medicine Wayne State University USA

This paper presents a framework for histology data visualization based on simplex spline models, which can reconstruct and represent a volumetric histology data for more accurate measurement and analysis. The scanned 2D histology image stacks are first co-registered and segmented to highlight and enhance regions of interests. Then we use our simplex spline based fitting techniques for reconstruction of the segmented 3D volume. Our mathematical framework facilitates tools to quantitatively measure with high accuracy geometric, topological, and other quantities associated with the volumetric histology data. visualization of the reconstructed data is also faster and more accurate.

关键词： data visualization Image reconstruction Spline Volume measurement Image segmentation Isosurfaces Signal processing algorithms Interpolation Geometry Geometrical optics

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Improved visual clustering of large multi-dimensional data sets

Improved visual clustering of large multi-dimensional data s...

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International conference on Information Visualisation (IV)

作者： E. Tejada R. Minghirn Universitat Stuttgart Stuttgart Baden-WÃ¼rttemberg DE Institute for Visualization and Interactive Systems University of Stuttgart

Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improved algorithm for visual clustering of large multi-dimensional data sets. The original algorithm is an approach that deals efficiently with multi-dimensionality using various projections of the data in order to perform multi-space clustering, pruning outliers through direct user interaction. The algorithm presented here, named HC-Enhanced (for human-computer enhanced), adds a scalability level to the approach without reducing clustering quality. Additionally, an algorithm to improve clusters is added to the approach. A number of test cases is presented with good results.

关键词： Clustering algorithms Scalability data visualization Interactive systems Multidimensional systems Principal component analysis Mathematics Computer science Computational efficiency data analysis

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The design and implementation of a novel platform for medical data visualization

The design and implementation of a novel platform for medica...

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International conference on Computer Supported Cooperative Work in Design

作者： Jian Xue Jie Tian Mingchang Zhao Huiguang He Graduate School of the Chinese Academy of Scienca Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Beijing China

ISBN: (纸本)184000025

As medical imaging applications become more complex, the design of software platforms for medical imaging is getting greater priority. With this demand, we have designed and implemented a novel software platform for medical data visualization in traditional object-oriented fashion with some common design patterns. This platform integrates the mainstream medical data reconstruction and visualization algorithms and 3D human-computer interaction based on 3D widgets into a consistent framework. The design goals, the overall framework and the implementation of some key technologies are addressed in details, and some application examples are also given to demonstrate the abilities of this platform. The ultimate objective is to provide a flexible, reliable and extensible 3D medical data visualization platform for the medical imaging society.

关键词： data visualization Biomedical imaging Medical diagnostic imaging Application software Biomedical image processing Image analysis Books Memory management Helium Laboratories

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DEA-based indicator for performance improvement

DEA-based indicator for performance improvement

引用

Proceedings of the International conference on Active Media Technology, AMT

作者： S. Aoki Y. Naito H. Tsuji Graduate School of Engineering Osaka Prefecture University Osaka Japan

This paper concerns an active indication method on data envelopment analysis and its experimental application. While DEA works to evaluate efficiency for the decision making unit with multiple input and output, there are still problems as follows: It is not easy (1) to view each DMU's position from bird-eye, (2) to catch the relationship between a DMU and its dominant set, and (3) to get an improvement direction from the current DMU position to the dominant set. To solve these problems, this paper clarifies the visualization procedure for indicating performance improvement and applies it to Japanese prefecture evaluation and verified in a two-input/single-output problem and a single-input/three-output problem as follows: (1) data normalization works well under the assumption that returns to scale is constant, (2) logarithmic transformation is useful in the case that the data range is strongly biased, and (3) viewpoint in three dimensional graph should be changed for confirming the direction.

关键词： data envelopment analysis Production Decision making Productivity Terminology data engineering data visualization Man machine systems Decision support systems data analysis

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Emissions, performance, and in-cylinder combustion analysis in a light-duty diesel engine operating on a fischer-tropsch, biomass-to-liquid fuel

Emissions, performance, and in-cylinder combustion analysis ...

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Powertrain and Fluid Systems conference and Exhibition

作者： Miers, Scott A. Ng, Henry Ciatti, Stephen A. Stork, Kevin Argonne National Laboratory U.S. Department of Energy United States

SunDiesel™ is an alternative bio-fuel derived from wood chips that has certain properties that are superior to those of conventional diesel (D2). In this investigation, 100% SunDiesel was tested in a Mercedes A-Class (model year 1999), 1.7L, turbocharged, direct-injection diesel engine (EURO II) equipped with a common-rail injection system. By using an endoscope system, Argonne researchers collected in-cylinder visualization data to compare the engine combustion characteristics of the SunDiesel with those of D2. Measurements were made at one engine speed and load condition (2,500 rpm, 50% load) and four start-of-injection (SOI) points, because of a limited source of SunDiesel fuel. Significant differences in soot concentration, as measured by two-color optical pyrometry, were observed. The optical and cylinder pressure data clearly show significant differences in combustion duration and ignition delay between the two fuels. Scanning mobility particle size (SMPS) measurements showed that the SunDiesel fuel produced significantly lower amounts of engine-out soot. Concentrations of specific oxides of nitrogen (NOx) and carbon monoxide (CO) were also reduced when the SunDiesel was used. The fuel contains significantly lower levels of aromatics and sulfur compared with D2, which likely contributes to the lower particulate matter concentrations. The reduction in specific NOx is most likely the result of an increase in power at each test condition, due to the higher heat of combustion. Copyright © 2005 SAE International.

关键词： Fuels

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Visual exploration of the spatial distribution of temporal behaviors

Visual exploration of the spatial distribution of temporal b...

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International conference on Information Visualisation (IV)

作者： G. Andrienko N. Andrienko Schloss Birlinghoven Fraunhofer Institute for Autonomous Intelligent System Sankt Augustin Germany

The paper elaborates on the previous research on the analysis of temporal and spatio-temporal data done in statistical graphics and geo-visualization. We focus on the exploration of spatially distributed time-series data, i.e. values of numeric attributes referring to different moments in time and locations in space. After considering appropriate interactive visualization techniques, we propose several methods of exploration based on user-controlled data transformation and aggregation, easy-to-understand calculations, and dynamic linking of data displays. The proposed methods are potentially scalable, i.e. they can be applied to large data sets without overcrowding the displays and loosing interactivity.

关键词： data visualization Displays Time series analysis Graphics Joining processes data mining Intelligent systems data analysis Scattering Histograms

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Laser radar system for obstacle avoidance

Laser radar system for obstacle avoidance

引用

conference on Lasers and Applications

作者： Bers, Karlheinz Schulz, Karl R. Armbruster, Walter FGAN FOM Res Inst Optron & Pattern Recognit D-76275 Ettlingen Germany

ISBN: (纸本)9780819459657

The threat of hostile surveillance and weapon systems require military aircraft to fly under extreme conditions such as low altitude, high speed, poor visibility and incomplete terrain information. The probability of collision with natural and man-made obstacles during such contour missions is high if detection capability is restricted to conventional vision aids. Forward-looking scanning laser radars which are build by the EADS company and presently being flight tested and evaluated at German proving grounds, provide a possible solution, having a large field of view, high angular and range resolution, a high pulse repetition rate, and sufficient pulse energy to register returns from objects at distances of military relevance with a high hit-and-detect probability. The development of advanced 3d-scene analysis algorithms had increased the recognition probability and reduced the false alarm rate by using more readily recognizable objects such as terrain, poles, pylons, trees, etc. to generate a parametric description of the terrain surface as well as the class, position, orientation, size and shape of all objects in the scene. The sensor system and the implemented algorithms can be used for other applications such as terrain following, autonomous obstacle avoidance, and automatic target recognition. This paper describes different 3D-imaging ladar sensors with unique system architecture but different components matched for different military application. Emphasis is laid on an obstacle warning system with a high probability of detection of thin wires, the real time processing of the measured range image data, obstacle classification und visualization.

关键词： Laser radar fibre optic scanner laser range data obstacle avoidance scene analysis image understanding real time image processing helicopter MMI

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Marching diamonds for unstructured meshes

Marching diamonds for unstructured meshes

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IEEE conference on visualization

作者： J.C. Anderson J.C. Bennett K.I. Joy Institute for Data Analysis and Visualization Computer Science Department University of California Davis USA

We present a higher-order approach to the extraction of isosurfaces from unstructured meshes. Existing methods use linear interpolation along each mesh edge to find isosurface intersections. In contrast, our method determines intersections by performing barycentric interpolation over diamonds formed by the tetrahedra incident to each edge. Our method produces smoother, more accurate isosurfaces. Additionally, interpolating over diamonds, rather than linearly interpolating edge endpoints. enables us to identify up to two isosurface intersections per edge. This paper details how our new technique extracts isopoints, and presents a simple connection strategy for forming a triangle mesh isosurface.

关键词： Isosurfaces Interpolation data analysis data visualization Computer science Aircraft data mining Chromium Computer graphics Surface cracks

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Motion correction for synthesis and analysis of respiratory-gated lung SPECT image

Motion correction for synthesis and analysis of respiratory-...

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Medical Imaging 2005 conference

作者： Ue, H Haneishi, H Iwanaga, H Suga, K Chiba Univ Sch Sci & Technol Chiba Japan

ISBN: (纸本)0819457213

A conventional SPECT image of lung is obtained by accumulating the detected count of gamma. rays over lone, acquisition time that contains many respiratory cycles. The lung motion due to respiration during the acquisition makes reconstructed image blurred and may lead to a misdiagnosis. If a respiratory-gated SPECT is used, reconstructed images at various phase of respiration are obtained and the blur in a image can be avoided. However, the respiratory-gated SPECT requires long time to accumulate sufficient number of counts at each phase. If the acquisition time is not long enough, the detected count becomes inadequately small and hence the reconstructed image becomes noisy. We propose a method for correcting the motion between different phase images obtained with the respiratory-gated SPECT. In this method, an objective function consisting of both the degree of similarity between a reference and a deformed image and the smoothness of deformation is defined and optimized. The expansion ratio defined as a ratio of the change of the local volume due to the deformation is introduced to preserve the total activity during the motion correction process. By summing each phase images corrected by this method, a less noisy and less blurred SPECT image can be obtained. Furthermore, this method allows us to analyze the local movement of lung. This method was applied to the computer phantom, the real phantom and some clinical data and the motion correction and visualization of local movements between inspiration and expiration phase images were successfully achieved.

关键词： respiratory-gated SPECT non-linear motion correction objective function simulated annealing

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Topological and optimization modelling for internet data of online auction markets

Topological and optimization modelling for internet data of ...

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International conference on Information Technology Interfaces

作者： S.C.K. Chu J.K. Ho Department of Mathematics University of Hong Kong Hong Kong China Department of Information and Decision Sciences University of Illinois Chicago IL USA

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