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International Conference on Pattern Recognition

作者： H. Lamecker T.H. Wenckebach H.-C. Hege Visualization and Data Analysis Zuse Institute Berlin Berlin Germany

In many cases X-ray images are the only basis for surgery planning. Nevertheless it is desirable to draw conclusions about the 3D-anatomy of the patient from such data. This work presents a method to reconstruct 3D shapes from few digital X-ray images on the basis of 3D-statistical shape models. At the core of this method lies an algorithm which optimizes a similarity measure assessing the difference between projections of the shape model and the X-ray images. Based on theoretical and experimental observations we propose to measure the distance between the silhouettes of the object in the projections. The method is tested on 23 synthetically generated X-rays from CT data sets of the geometrically as well as topologically complex shape of the pelvic bone

关键词： Image reconstruction X-ray imaging Shape measurement Surgery Hip Prosthetics data visualization data analysis Optimization methods Testing

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Uncertain transport in unsteady flows

arXiv

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arXiv 2020年

作者： Rapp, Tobias Dachsbacher, Carsten Institute for Visualization and Data Analysis Karlsruhe Institute of Technology Germany

We study uncertainty in the dynamics of time-dependent flows by identifying barriers and enhancers to stochastic transport. This topological segmentation is closely related to the theory of Lagrangian coherent structures and is based on a recently introduced quantity, the diffusion barrier strength (DBS). The DBS is defined similar to the finite-time Lyapunov exponent (FTLE), but incorporates diffusion during flow integration. Height ridges of the DBS indicate stochastic transport barriers and enhancers, i.e. material surfaces that are minimally or maximally diffusive. To apply these concepts to real-world data, we represent uncertainty in a flow by a stochastic differential equation that consists of a deterministic and a stochastic component modeled by a Gaussian. With this formulation we identify barriers and enhancers to stochastic transport, without performing expensive Monte Carlo simulation and with a computational complexity comparable to FTLE. In addition, we propose a complementary visualization to convey the absolute scale of uncertainties in the Lagrangian frame of reference. This enables us to study uncertainty in real-world datasets, for example due to small deviations, data reduction, or estimated from multiple ensemble runs. Copyright © 2020, The Authors. All rights reserved.

关键词： visualization

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Visual exploration of relationships between document clusters

Visual exploration of relationships between document cluster...

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5th International Conference on Information visualization Theory and Applications, IVAPP 2014

作者： Jusufi, Ilir Kerren, Andreas Liu, Jiayi Zimmer, Björn Linnaeus University Department of Computer Science ISOVIS Group Växjö Sweden Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States

ISBN: (纸本)9789897580055

The visualization of networks with additional attributes attached to the network elements is one of the ongoing challenges in the information visualization domain. Such so-called multivariate networks regularly appear in various application fields, for instance, in data sets which describe friendship networks or co-authorship networks. Here, we focus on networks that are based on text documents, i.e., the network nodes represent documents and the edges show relationships between them. Those relationships can be derived from common topics or common co-authors. Attached attributes may be specific keywords (topics), keyword frequencies, etc. The analysis of such multivariate networks is challenging, because a deeper understanding of the data provided depends on effective visualization and interaction techniques that are able to bring all types of information together. In addition, automatic analysis methods should be used to support the analysis process of potentially large amounts of data. In this paper, we present a visualization approach that tackles those analysis problems. Our implementation provides a combination of new techniques that shows intra-cluster and inter-cluster relations while giving insight into the content of the cluster attributes. Hence, it facilitates the interactive exploration of the networks under consideration by showing the relationships between node clusters in context of network topology and multivariate attributes.

关键词： visualization

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Out-of-core data management for path tracing on hybrid resources

Out-of-core data management for path tracing on hybrid resou...

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30th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2009

作者： Budge, Brian Bernardin, Tony Stuart, Jeff A. Sengupta, Shubhabrata Joy, Kenneth I. Owens, John D. Institute for Data Analysis and Visualization Department of Computer Science Davis United States Department of Electrical and Computer Engineering University of California Davis United States

We present a software system that enables path-traced rendering of complex scenes. The system consists of two primary components: an application layer that implements the basic rendering algorithm, and an out-of-core scheduling and data-management layer designed to assist the application layer in exploiting hybrid computational resources (e.g., CPUs and GPUs) simultaneously. We describe the basic system architecture, discuss design decisions of the system's data-management layer, and outline an efficient implementation of a path tracer application, where GPUs perform functions such as ray tracing, shadow tracing, importance-driven light sampling, and surface shading. The use of GPUs speeds up the runtime of these components by factors ranging from two to twenty, resulting in a substantial overall increase in rendering speed. The path tracer scales well with respect to CPUs, GPUs and memory per node as well as scaling with the number of nodes. The result is a system that can render large complex scenes with strong performance and scalability. © 2008 The Author(s).

关键词： Information management

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Human Factors in Information visualization and Decision Support Systems

Human Factors in Information Visualization and Decision Supp...

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Mensch und Computer 2016, MuC 2016 - Workshopband - Human and Computer 2016, MuC 2016 - Workshop Proceedings

作者： Valdez, André Calero Brauner, Philipp Ziefle, Martina Kuhlen, Torsten Wolfgang Sedlmair, Michael Human-Computer Interaction Center RWTH Aachen University Germany Visual Computing Institute RWTH Aachen University Germany Visualization and Data Analysis Group TU Wien Austria

With the increase in data availability and data volume it becomes increasingly important to extract information and actionable knowledge from data. Information visualization helps the user to understand data by utilizing vision as a relatively parallel input channel to the user’s mind. Decision Support systems on the other hand help users in making information actionable, by suggesting beneficial decisions and presenting them in context. Both fields share a common need for understanding the interface between the computer and the human. This makes human factors research critical for both fields. Understanding limitations of human perception, cognition and action, as well as their variance must be understood to fully leverage information visualization and decision support. This article reflects on research agendas for investigating human factors in the aforementioned fields. Copyright © 2016 bei den Autoren.

关键词： Decision support systems

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Enhancing topological information of the Lyapunov-based distributed model predictive control design for large-scale nonlinear systems (vol 25, pg 1476, 2023)

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ASIAN JOURNAL OF CONTROL 2023年第4期25卷 3286-3286页

作者： He, W. Li, S. Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information processing Shanghai Jiao Tong University Shanghai China Contribution: Conceptualization Data curation Formal analysis Investigation Methodology Project administration Software Supervision Validation Visualization Shaoyuan Li Department of Automation Shanghai Jiao Tong University Shanghai 200240 China. Contribution: Funding acquisition Resources Supervision Validation Visualization

In this paper, a distributed model predictive control architecture based on graph theory for integrated large-scale nonlinear process systems is proposed. This architecture is first agglomerated using popular community detection techniques and then organized on account of the relative master–slave relationship according to the ample information of interactions among separate subsystems. Both sequential and iterative distributed nonlinear model predictive coordination forms are considered for the reduction of the communication and computational burden within an acceptable loss of performance. Furthermore, the control performance of the large-scale integrated system could be improved to some extent under the architecture and the communication strategy we propose, whereby a brave exploration is made on the relationship between the control structure and the control performance, ulteriorly obtaining some notable results towards the untapped territory. The effectiveness of the proposed coordination method is evaluated by a standard reactor-separator process system.

关键词： Graph theory

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Volunteered Geographic Information 1

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1000年

作者： Dirk Burghardt Elena Demidova Daniel A. Keim

ISBN: (数字)9783031353741

ISBN: (纸本)9783031353734;9783031353765

This open access book includes methods for retrieval, semantic representation, and analysis of Volunteered Geographic Information (VGI), geovisualization and user interactions related to VGI, and discusses selected topics in active participation, social context, and privacy awareness. It presents the results of the DFG-funded priority program "VGI: Interpretation, visualization, and Social Computing" (2016-2023).;The book is of interest to researchers and advanced professionals in geoinformation, cartography, visual analytics, data science and machine learning.

关键词： Computer Applications Geography, general data Mining and Knowledge Discovery Social Media

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ZAPP - A management framework for distributed visualization systems

ZAPP - A management framework for distributed visualization ...

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IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

作者： Tamm, Georg Schiewe, Alexander Krüger, Jens Interactive Visualization and Data Analysis Group DFKI Saarbrücken Germany Intel Visual Computing Institute Saarbrücken Germany SCI Institute Salt Lake City United States

ISBN: (纸本)9789728939489

In this work we present the ZAPP, a management framework for distributed visualization systems. The main purpose of ZAPP is to improve the user, administrator, and developer experience in dealing with distributed displays. Even a single user with no administrative knowledge can operate a ZAPP-managed display system. The goal is that practically anyone is capable of operating the display with less than two minutes of training. To achieve this we present a lightweight management framework that links and controls the render workstations, which drive the displays, but also connects to the user's very own mobile devices, such as smartphones or tablets, to enable convenient control over the display. Consequently, the users never need to leave their familiar hardware and operating system environments and can use distributed displays without external help. © 2011 IADIS.

关键词： Display devices

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3D imaging of cerebral aneurysms: Comparison between CT and MRI

3D imaging of cerebral aneurysms: Comparison between CT and ...

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Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2008 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2008

作者： Goubergrits, Leonid Pöthke, Jens Petz, Christoph Hege, Hans-Christian Spuler, Andreas Kertzscher, Ulrich Labor für Biofluidmechanik Charité-Universitätsmedizin Berlin Germany Visualization and Data Analysis Konrad Zuse Institute Berlin Germany Neurochirurgie Helios Klinikum Berlin-Buch Germany

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Influence of the abutment height on marginal bone level changes around two-piece dental implants: Meta-analysis and trial sequential analysis of randomized clinical trials (vol 34, pg 81, 2023)

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CLINICAL ORAL IMPLANTS RESEARCH 2023年第9期34卷 1014-1014页

作者： Munoz, Marta Vilarrasa, Javi Ruiz-Magaz, Vanessa Albertini, Matteo Nart, Jose Department of Periodontology Universitat International de Catalunya Barcelona Spain Contribution: Conceptualization (lead) Data curation (lead) Formal analysis (equal) Investigation (lead) Methodology (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Methodology (supporting) Supervision (lead) Validation (lead) Visualization (lead) Writing - review & editing (supporting) Contribution: Supervision (lead) Validation (lead) Visualization (lead) Contribution: Supervision (lead) Validation (lead) Visualization (lead) Writing - review & editing (supporting)

BackgroundThe focused question was: “In systemically healthy individuals with at least one two‐piece dental implant, what is the efficacy of long (≥2 mm; intervention) compared with short (<2 mm; comparison) shoulder height abutments in peri‐implant marginal bone level (MBL) changes at <1 year and ≥1 year reported by randomized controlled clinical trials?”Materials and MethodsAn electronic and hand search was conducted to identify RCTs published up to August 2022. The primary outcome variable was changed in MBL from implant surgery to subsequent follow‐ups. Mean values and standard deviations for each study were extracted. Weighted mean differences and 95% confidence intervals were calculated. Meta‐analysis for MBL changes was performed through a random‐effect restricted maximum‐likelihood model at early (<1 year) and late (≥1 year) stages of bone remodeling. Publication bias and sensitivity tests were also applied. Subgroup analysis was performed to further explore possible sources of heterogeneity in the estimated treatment effect. Trial sequential analysis was performed to assess the required information and false‐positive *** randomized clinical trials fulfilled the inclusion/exclusion criteria and were included in the qualitative and quantitative analysis with a follow‐up range from 6 to 36 months after implant surgery. Meta‐analysis revealed that long abutments significantly exhibited 0.27 mm (CI 95% −0.60, 0.06) and 0.33 mm (CI 05% −0.50, −0.16) lower MBL changes compared with short ones at <1 year and ≥1 year, respectively. Subgroup meta‐analysis revealed that studies with implants placed in a more subcrestal position significantly exhibited less differences in MBL changes between long and short abutments. No meta‐analysis was conducted for peri‐implant clinical parameters, and soft‐tissue changes provided that reported data were scarce. Trial sequential analysis revealed insufficient information size to provide a defi

关键词： dental implants height abutment marginal bone loss

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