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Computational Vision and Medical Image Processing: VipIMAGE 2007

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2007年

作者： Joao Manuel RS Tavares Renato M Natal Jorge

ISBN: (纸本)9780415457774

Computational Vision and Medical Image Processing contains keynote lectures and full papers presented at VIPIMAGE 2007 1st ECCOMAS Thematic conference on Computational Vision and Medical Image Processing, held in Porto, Portugal, in October 2007. International contributions from fourteen countries provide comprehensive coverage of the current state-of-the-art in - 3D Reconstruction - Computational Bioimaging and visualization - Computer Aided Diagnosis, Surgery, Therapy, and Treatment - data Interpolation, Registration, Acquisition and Compression - Image Processing and analysis - Image Segmentation - Medical Imaging - Motion and Deformation analysis - Objects Simulation - Objects Tracking - Signal Processing - Software Development - Telemedicine Systems and their Applications Related techniques covered include the finite element method, modal analyses, stochastic methods, principal and independent components analyses, and distribution models. The book will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics and Medicine.

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Optimal clustering of kinetic patterns on malignant breast lesions: Comparison between K-means clustering and three-time-points method in dynamic contrast-enhanced MRI

Optimal clustering of kinetic patterns on malignant breast l...

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29th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Lee, S. H. Kim, J. H. Kim, K. G. Park, J. S. Park, S. J. Moon, W. K. Seoul Natl Univ Coll Med Interdisciplinary Program Radiat Appl Life Sci Seoul 151 South Korea Seoul Natl Univ Hosp Dept Radiol Seoul South Korea Seoul Natl Univ Med Res Ctr Inst Radiat Med Seoul South Korea

ISBN: (纸本)9781424407873

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is useful for breast cancer diagnosis and treatment planning. Nevertheless, due to the multi-temporal nature of DCE-MRI data, the assessment of early stage breast cancer is a challenging task. In this study, we applied an unsupervised clustering approach and cluster validation technique to the analysis of malignant intral-tumoral kinetic curves in DCE-MRI. K-means cluster analysis was performed from real world malignant tumor cases and the data were transformed into an optimal number of reference patterns representative each cluster. The optimal number of clusters was estimated by a cluster validation index, which was calculated with the ratio of inter-class scatter to intra-class scatter. This technique then classifies tumor specific patterns from a given MRI data by measuring the vector distances from the reference pattern seta and compared the result from the k-means clustering with that from three-time-points (3TP) method, which represents a clinical standard protocol for analysis of tumor kinetics. The evaluation of twenty five cases indicates that optimal k-means clustering reflects partitioning intra-tumoral kinetic patterns better than the 3TP technique. This method will greatly enhance the capability of radiologists to identify and characterize internal kinetic heterogeneity and vascular change of a tumor in breast DCE-MRI.

关键词： DCE-MRI breast cancer kinetics k-means clustering 3TP method visualization

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A new application for displaying and fusing multimodal data sets

A new application for displaying and fusing multimodal data ...

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conference on Multimodal Biomedical Imaging II

作者： Baum, Karl G. Helguera, Maria Krol, Andrzej Rochester Inst Technol 54 Lomb Mem Dr Rochester NY 14623 USA SUNY Upstate Med Univ Syracuse NY 13210 USA KGB Technol West Henrietta NY 14586 USA

ISBN: (纸本)9780819465443

A recently developed, freely available, application specifically designed for the visualization of multimodal data sets is presented. The application allows multiple 3D data sets such as CT (x-ray computer tomography), MRI (magnetic resonance imaging), PET (positron emission tomography), and SPECT (single photon emission tomography) of the same subject to be viewed simultaneously. This is done by maintaining synchronization of the spatial location viewed within all modalities, and by providing fused views of the data where multiple data sets are displayed as a single volume. Different options for the fused views are provided by plug-ins. Plug-ins typically used include color-overlays and interlacing, but more complex plug-ins such as those based on different color spaces, and component analysis techniques are also supported. Corrections for resolution differences and user preference of contrast and brightness are made. Pre-defined and custom color tables can be used to enhance the viewing experience. In addition to these essential capabilities, multiple options are provided for mapping 16-bit data sets onto an 8-bit display, including windowing, automatically and dynamically defined tone transfer functions, and histogram based techniques. The 3D data sets can be viewed not only as a stack of images, but also as the preferred three orthogonal cross sections through the volume. More advanced volumetric displays of both individual data sets and fused views are also provided. This includes the common MIP (maximum intensity projection) both with and without depth correction for both individual data sets and multimodal data sets created using a fusion plug-in.

关键词： multimodal visualization fusion software biomedical dynamic range display medical imaging

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Visualizing energy: How BIM influences design choices

Visualizing energy: How BIM influences design choices

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ASME International Design Engineering Technical conferences/Computers and Information in Engineering conference

作者： Hedges, Keith E. Denzer, Anthony S. Univ Wyoming Dept Civil & Architectural Engn Dept 3295 Laramie WY 82071 USA

ISBN: (纸本)9780791848050

This paper investigates how the infusion of a parametric object-based Building Information Modeling (BIM) methodology has influenced the design responses of engineering students in architectural design studios. BIM provides students with an opportunity to explore the consequences of design alternatives through three-dimensional representation in addition to two-dimensional abstraction during the schematic design phase. The authors qualitatively evaluate data in the participant observation tradition garnered from two architectural design studios in an architectural engineering program. The purpose is to explore how students respond when offered opportunities to visualize energy performance in concert with architectural design. The results indicate that BIM provides more time for realizing the design idea, thereby inducing a higher level of intellectual behavior where the students visually evaluate multiple conditions of design iterations in a qualitative manner while bringing to life the numerical application and analysis procedures of quantitative theory. The engineering students make relatively sophisticated choices regarding building orientation, passive solar heating, daylighting, and envelope design and materials selection.

关键词： BIM visualization engineering education architecture education pedagogy

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6th Australasian data Mining conference, AusDM 2007

6th Australasian Data Mining Conference, AusDM 2007

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6th Australasian data Mining conference, AusDM 2007

ISBN: (纸本)9781920682514

This proceedings contains 26 papers. data mining and analytics today have advanced rapidly from the early days of pattern finding in commercial databases. They are now a core part of business intelligence and inform decision-making in many areas of human endeavor including science, business, health care and security. Mining of unstructured text, semi-structured web information and multimedia data have continued to receive attention, as have professional challenges to using data mining in industry. Accepted submissions have been grouped into seven sessions reflecting these application areas. Papers published in this conference are categorized under topics such as Industry data Mining, Text Mining, Unsupervised Learning, Association Rule and Frequent Pattern Mining, Financial and Policing/Security data Mining, Algorithms, data Mining Education. The key terms of this proceedings include Audits, business controls, fraud and abuse, customer analytics, industry analytics, data mining effectiveness, analytics projects management, analytics industry case studies, corporate insolvency prediction, logistic regression, random forests, medical and health data mining, blogs, weblogs, Blog06, TREC, opinion detection, opinion identification, self-organizing maps, cluster analysis, neural network, imbalanced data, drill-down, visualization, data mining, soil profiles, agriculture time series, clustering, subsequence-time series clustering, data linkage, data matching, deduplication, entity resolution, clustering, support vector machines, quality measures.

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Simulation and visualization of menisci-fenur contact using patient-specific deformable models

Simulation and visualization of menisci-fenur contact using ...

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7th IEEE International conference on Bioinformatics and Bioengineering, BIBE

作者： Zhu, Ying Department of Computer Science Georgia State University

ISBN: (纸本)1424415098

Computational modeling and simulation of knee joint can help expand our understanding of the knee biomechanics, and thus improve orthopedic practice. Although many computational knee models have been developed, very few of them include a deformable menisci model. In addition, patient specific modeling and simulation are still not widely adopted, although they are shown to be more effective than generic modeling. In this paper, we present two new methods for simulating and visualizing menisci-femur contact area during gait cycles, using patient-specific knee models and motion data. Specifically we propose a new template based 3D model reconstruction method that generates patient-specific knee models from medical images. We also propose a new deformable menisci model that combines physics-based deformation and spatial deformation, making it easier for users to balance the physical realism and performance needs. These new methods will benefit knee biomechanical analysis as well as interactive orthopedic surgery planning and training. ©2007 IEEE.

关键词： visualization

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Flow visualization and Image analysis

Flow Visualization and Image Analysis

引用

2007年

作者： F T Nieuwstadt

ISBN: (纸本)9780792319948

Progress in fluid mechanics depends heavily on the availability of good experimental data which can inspire new ideas and concepts but which are also necessary to check and validate theories and numerical calculations. With the advent of new recording and image analysis techniques new and promising experimental methods in fluid flows have presented themselves which are rather newly developed techniques such as particle tracking velocimetry (PTV), particle image velocimetry (PIV) and laser fluorescene (LIF). This volume presents state-of-the-art research on these techniques and their application to fluid flow. Selected papers from the EUROMECH conference on Image analysis are published in this volume.

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The scholarly database and its utility for scientometrics research

The scholarly database and its utility for scientometrics re...

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11th International conference of the International-Society-for-Scientometrics-and-Informetrics

作者： LaRowe, Gavin Ambre, Sumeet Burgoon, John Ke, Weimao Boerner, Katy Indiana Univ Sch Lib & Informat Sci 10th St & Jordan Ave Bloomington IN 47405 USA

The Scholarly database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. This database focuses on supporting large studies of changes in science over time and communicating findings via knowledge-domain visualizations. The database currently provides access to around 18 million publications, patents, and grants, ten percent of which contain full-text abstracts. Except for some datasets with restricted access conditions, the data can be retrieved in raw or pre-processed format using either a web-based or relational database client. This paper motivates the need for the database from bibliometric and scientometric perspectives (Cronin & Atkins, 2000;White & McCain, 1989). It explains the database design, setup, and interfaces as well as the temporal, geographical, and topic coverage of datasets currently served. Planned work and the potential for this database to become a global test bed for information science research are discussed.

关键词： research database geospatial coverage data integration mapping science

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Coastal Online analysis and Synthesis Tool 2.0 (COAST)

Coastal Online Analysis and Synthesis Tool 2.0 (COAST)

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Oceans 2009 conference

作者： Brown, Richard B. Navard, Andrew R. Nguyen, Beth T. Sci Syst & Applicat Inc Bldg 1105John C Stennis Space Ctr MS 39529 USA Comp Sci Corp Stennis Space Ctr MS 39529 USA Delta Comp Solut Inc Stennis Space Ctr MS 39529 USA

ISBN: (纸本)9781424449606

The Coastal Online Assessment and Synthesis Tool (COAST) geobrowser has been developed at NASA Stennis Space Center (SSC) for integration of previously disparate coastal datasets from NASA and other sources into a common desktop client tool. COAST will provide insightful new data visualization and analysis capabilities for the coastal researcher. COAST is built upon the NASA open source 3D geobrowser, World Wind, developed at the NASA Ames Research Center. COAST also integrated some of the value-added modifications and enhancements from the NASA Marshall Space Flight Center version of World Wind, SERVIR-Viz. COAST is being developed to maximize use of open source data access, viewing, and data manipulation software tools, creating a low-cost, widely installable base for potential users. Feedback from preliminary reviewers has led to more robust understanding of the data integration and visual analytic challenges and of the potential solutions that COAST can offer to the broader user community. Improved mode of functionality for these users will lead to a more refined methodology for implementation of COAST as an effective tool for a range of potential users varying from researcher to investigator to potential decision maker. Development of the Temporal visualization Tool (TVT) plugin for COAST was begun in the 2007 Integrated Approach to Monitoring Hypoxia in the Northern Gulf of Mexico project. The origin of this time-based animated data overlay tool is the Naval Research Laboratory Monterey Weather plugin, which is still distributed with the present World Wind 1.4 package. Modifications to the TVT tool have been targeted to provide users the capability to connect to and map/integrate disparate datasets, located locally and online, into project sessions. The TVT allows direct data listing of accessible raster datasets, subsequent multi-select, temporally animated image overlays in the COAST browser, and transparency control over the animated layer within COAST via

关键词： NASA

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Revealing pentimenti: the hidden history in a painting

Revealing pentimenti: the hidden history in a painting

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conference on Human Vision and Electronic Imaging XII

作者： Gooch, Amy A. Univ Victoria Dept Comp Sci Victoria BC Canada

ISBN: (纸本)9780819466051

Art conservators often explore X-ray images of paintings to help find pentimenti, the artist's revisions hidden beneath the painting's visible first surfaces. X-ray interpretation is difficult due to artifacts in the image, superimposed features from all paint layers, and because image intensity depends on both the paint layer thickness and each pigment's opacity. We present a robust user-guided method to suppress clutter, find visually significant differences between X-ray images and color photographs, and visualize them together. These tools allow domain experts as well as museum visitors to explore the artist's creative decisions that led to a masterpiece.

关键词： pentimenti X-rays image archive perception visualization exploratory data analysis

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