This paper describes a new method to segment vascular structures in 3D MRA data, based on the Wavefront Propagation algorithm. The center lumen line and the vessel boundary are detected automatically. Our 3D visualiza...
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ISBN:
(纸本)3540435948
This paper describes a new method to segment vascular structures in 3D MRA data, based on the Wavefront Propagation algorithm. The center lumen line and the vessel boundary are detected automatically. Our 3D visualization and interaction platform will be prestended, which is used to aid the phycisian in the analysis of the MRA data. The results are compared to conventional X-ray DSA which is considered the current gold-standard. Provided that the diameter of the vessel is larger than 3 voxels, our method has similar result as X-ray DSA.
It is very important to understand the thermo-fluid characteristics of supercritical fluid, for the development of advanced supercritical water cooled nuclear reactor. In this study, visualization experiment for force...
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ISBN:
(纸本)9784888982566
It is very important to understand the thermo-fluid characteristics of supercritical fluid, for the development of advanced supercritical water cooled nuclear reactor. In this study, visualization experiment for forced convection of the supercritical fluid was carried. Using the measured images with cross-correlation technique, the velocity distribution was obtained. To reduce the error of the reconstructed data, novel approach for the image analysis and advanced visualization technique was applied. For the visualization technique, the frame straddling was applied with infrared pulse laser. The temporal and spatial noise removal procedure was developed for the image analysis.
We implemented a hybrid immersive visualization system for a five dimensional (5D) coupled bottom boundary layer-sedimentation model. This model predicts sediment resuspension, transport, and resulting distributions f...
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ISBN:
(纸本)0819444057
We implemented a hybrid immersive visualization system for a five dimensional (5D) coupled bottom boundary layer-sedimentation model. This model predicts sediment resuspension, transport, and resulting distributions for shallow water regions on continental shelves. One variable of interest, suspended sediment concentration (SSC), is 51) and varies by longitude, latitude, depth, time, and grain size. At each grid point there are twenty values for SSC, representing grain sizes ranging from 2.36 to 3306 mum. Currently the most common methods of analyzing the SSC distribution are only 2D, e.g., point profiles, cross-sections, map views at equal water depths, and time series. Traditional methods require multiple sets of plots that are analyzed manually. Good 3D methods are needed that will allow researchers to investigate the complex relationships between variables and see the underlying physical processes more comprehensively, especially within the wave boundary layer close to the ocean bottom. This paper presents the work in progress on the motivation, requirements, and overall design of the visualization system, along with the latest efforts to incorporate volume visualization as an effective means of understanding the SSC variable. The system is optimized for deployment in a CAVE. We also describe the extension of this system to other problem domains.
This work discusses various techniques used in visualizing sets of coregistered images for planetary lander or rover mission operations. Imagery from all available instrumentation on board a planetary rover or lander ...
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The interpretation of radiological image is routine but it remains a rather difficult task for physicians. It requires complex mental processes, that permit translation from 2D slices into 3D localization and volume d...
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ISBN:
(纸本)081944426X
The interpretation of radiological image is routine but it remains a rather difficult task for physicians. It requires complex mental processes, that permit translation from 2D slices into 3D localization and volume determination of visible diseases. An easier and more extensive visualization and exploitation of medical images can be reached through the use of computer-based systems that provide real help from patient admission to post-operative follow-up. In this way, we have developed a 3D visualization interface linked to a PACS database that allows manipulation and interaction on virtual organs delineated from CT-scan or MRI. This software provides the 3D real-time surface rendering of anatomical structures, an accurate evaluation of volumes and distances and the improvement of radiological image analysis and exam annotation through a negatoscope tool. It also provides a tool for surgical planning allowing the positioning of an interactive laparoscopic instrument and the organ resection. The software system could revolutionize the field of computerized imaging technology. Indeed, it provides a handy and portable tool for pre-operative and intra-operative analysis of anatomy and pathology in various medical fields. This constitutes the first step of the future development of augmented reality and surgical simulation systems.
While processing experimental data, it is important to have pictorial presentation of information. Currently, within the scope of the research programs carried out at the Institute for Roentgen Optics, several automat...
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ISBN:
(纸本)0819445320
While processing experimental data, it is important to have pictorial presentation of information. Currently, within the scope of the research programs carried out at the Institute for Roentgen Optics, several automated set-ups have been created and are now used to perform X-ray scanning experiments. At the development stage it became clear that presentation of experimental data in a pictorial and convenient to the researcher form, by means of 3D computer graphics algorithms, enables more precise evaluation of the results and, thus, correctly determination of the strategy for further research.
A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of ...
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A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output devices, thereby requiring some processing for their visualization. In contrast with existent approaches, which compute a single image with reduced range, close in a given sense to the original data, we propose to look for a representative set of images. The goal is then to produce a minimal set of images capturing the information all over the high dynamic range data, while at the same time preserving a natural appearance for each one of the images in the set. A specific algorithm that achieves this goal is presented and tested on natural and synthetic data.
Measurement, analysis, and visualization of plant growth is of primary interest to plant biologists. We are developing software tools to support such investigation. There are two parts in this investigation, namely, g...
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Measurement, analysis, and visualization of plant growth is of primary interest to plant biologists. We are developing software tools to support such investigation. There are two parts in this investigation, namely, growth visualization of (i) a plant root and (ii) a plant stem. For both domains, the input data is a stream of images taken by cameras. The tools being developed make it possible to measure various time-varying quantities such as differential growth. For both domains, the plant is modeled by using flexible templates to represent nonrigid motions.
Prompt diagnosis of abnormally shaped waveforms in ECG signal is an important component in the early diagnosis of cardiac arrhythmias, improving the quality of life of patients. Meanwhile, detection models for Prematu...
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ISBN:
(纸本)9781424437061
Prompt diagnosis of abnormally shaped waveforms in ECG signal is an important component in the early diagnosis of cardiac arrhythmias, improving the quality of life of patients. Meanwhile, detection models for Premature Ventricular Contractions (PVC) are widely investigated, a less studied problem is dataanalysis and visualization. In this paper, we propose an approach for PVC detection and datavisualization by exploiting the intrinsic geometry of the high-dimensional data using manifold learning and Support Vector Machines (SVM). ISOMAP forms a neighborhood-preserving projection which allows to uncover the low-dimensional manifold and is used here as a pre-processing step. Then by incorporating training labels the method is capable of recognizing PVC patterns with comparable accuracy of kernel learning machines.
Distributed, on-demand, data-intensive, and collaborative simulation analysis tools are being developed by an international team to solve real problems such as bioinformatics applications. The project consists of thre...
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Distributed, on-demand, data-intensive, and collaborative simulation analysis tools are being developed by an international team to solve real problems such as bioinformatics applications. The project consists of three distinct focuses: compute, visualize, and collaborate. Each component utilizes software and hardware that performs across the International Grid. Computers in North America, Asia, and Europe are working on a common simulation programs. The results are visualized in a multi-way 3D visualization collaboration session where additional compute requests can be submitted in real-time. Navigation controls and data replication issues are addressed and solved with a scalable solution. Published by Elsevier B.V.
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