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Artículos de revistas sobre el tema "Interactive volume visualization"

Autor: Grafiati

Publicado: 13 de julio de 2024

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1

Dauitbayeva, A. O., A. A. Myrzamuratova, and A. B. Bexeitova. "INTERACTIVE VISUALIZATION TECHNOLOGY IN AUGMENTED REALITY." Bulletin of the Korkyt Ata Kyzylorda University 58, no. 3 (2021): 137–42. http://dx.doi.org/10.52081/bkaku.2021.v58.i3.080.

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This article is devoted to the issues of visualization and information processing, in particular, improving the visualization of three-dimensional objects using augmented reality and virtual reality technologies. The globalization of virtual reality has led to the introduction of a new term "augmented reality"into scientific circulation. If the current technologies of user interfaces are focused mainly on the interaction of a person and a computer, then augmented reality with the help of computer technologies offers improving the interface of a person and the real world around them. Computer graphics are perceived by the system in the synthesized image in connection with the reproduction of monocular observation conditions, increasing the image volume, spatial arrangement of objects in a linear perspective, obstructing one object to another, changing the nature of shadows and tones in the image field. The experience of observation is of great importance for the perception of volume and space, so that the user "completes" the volume structure of the observed representation. Thus, the visualization offered by augmented reality in a real environment familiar to the user contributes to a better perception of three-dimensional object.

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2

Stoppel, Sergej, and Stefan Bruckner. "Vol2velle: Printable Interactive Volume Visualization." IEEE Transactions on Visualization and Computer Graphics 23, no. 1 (2017): 861–70. http://dx.doi.org/10.1109/tvcg.2016.2599211.

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3

Parker, S., M. Parker, Y. Livnat, P. P. Sloan, C. Hansen, and P. Shirley. "Interactive ray tracing for volume visualization." IEEE Transactions on Visualization and Computer Graphics 5, no. 3 (1999): 238–50. http://dx.doi.org/10.1109/2945.795215.

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4

Muigg, P., M. Hadwiger, H. Doleisch, and E. Groller. "Interactive Volume Visualization of General Polyhedral Grids." IEEE Transactions on Visualization and Computer Graphics 17, no. 12 (2011): 2115–24. http://dx.doi.org/10.1109/tvcg.2011.216.

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5

van der Voort, H. T. M., J. M. Messerli, H. J. Noordmans, and A. W. M. Smeulders. "Volume visualization for interactive microscopic image analysis." Bioimaging 1, no. 1 (1993): 20–29. http://dx.doi.org/10.1002/1361-6374(199303)1:1<20::aid-bio5>3.3.co;2-u.

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6

Boyles, Michael, and Shiaofen Fang. "3Dive: An Immersive Environment for Interactive Volume Data Exploration." International Journal of Virtual Reality 5, no. 1 (2001): 38–51. http://dx.doi.org/10.20870/ijvr.2001.5.1.2667.

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This paper describes an immersive system, called 3DIVE, for interactive volume data visualization and exploration inside the CAVE virtual environment. Combining interactive volume rendering and virtual reality provides a natural immersive environment for volumetric data visualization. More advanced data exploration operations, such as object level data manipulation, simulation and analysis, are supported in 3DIVE by several new techniques: volume primitives and texture regions are used for the rendering, manipulation, and collision detection of volumetric objects; the region based rendering pipeline is integrated with 3D image filters to provide an image-based mechanism for interactive transfer function design; a collaborative visualization module allows remote sites to collaborate over common datasets with passive or active view sharing. The system has been recently released as public domain software for CAVE/ImmersaDesk users, and is currently being actively used by a 3D microscopy visualization project.

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7

Kirmizibayrak, Can, Nadezhda Radeva, Mike Wakid, John Philbeck, John Sibert, and James Hahn. "Evaluation of Gesture Based Interfaces for Medical Volume Visualization Tasks." International Journal of Virtual Reality 11, no. 2 (2012): 1–13. http://dx.doi.org/10.20870/ijvr.2012.11.2.2839.

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Interactive systems are increasingly used in medical applications with the widespread availability of various imaging modalities. Gesture-based interfaces can be beneficial to interact with these kinds of systems in a variety of settings, as they can be easier to learn and can eliminate several shortcomings of traditional tactile systems, especially for surgical applications. We conducted two user studies that explore different gesture-based interfaces for interaction with volume visualizations. The first experiment focused on rotation tasks, where the performance of the gesture-based interface (using Microsoft Kinect) was compared to using the mouse. The second experiment studied localization of internal structures, comparing slice-based visualizations via gestures and the mouse, in addition to a 3D Magic Lens visualization. The results of the user studies showed that the gesture-based interface outperform the traditional mouse both in time and accuracy in the orientation matching task. The traditional mouse was the superior interface for the second experiment in terms of accuracy. However, the gesture-based Magic Lens interface was found to have the fastest target localization time. We discuss these findings and their further implications in the use of gesture-based interfaces in medical volume visualization, and discuss the possible underlying psychological mechanisms why these methods can outperform traditional interaction methods

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8

Cruz, António, Joel P. Arrais, and Penousal Machado. "Interactive and coordinated visualization approaches for biological data analysis." Briefings in Bioinformatics 20, no. 4 (2018): 1513–23. http://dx.doi.org/10.1093/bib/bby019.

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AbstractThe field of computational biology has become largely dependent on data visualization tools to analyze the increasing quantities of data gathered through the use of new and growing technologies. Aside from the volume, which often results in large amounts of noise and complex relationships with no clear structure, the visualization of biological data sets is hindered by their heterogeneity, as data are obtained from different sources and contain a wide variety of attributes, including spatial and temporal information. This requires visualization approaches that are able to not only represent various data structures simultaneously but also provide exploratory methods that allow the identification of meaningful relationships that would not be perceptible through data analysis algorithms alone. In this article, we present a survey of visualization approaches applied to the analysis of biological data. We focus on graph-based visualizations and tools that use coordinated multiple views to represent high-dimensional multivariate data, in particular time series gene expression, protein–protein interaction networks and biological pathways. We then discuss how these methods can be used to help solve the current challenges surrounding the visualization of complex biological data sets.

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9

Huang, Jin Ming, and Kun Liang Liu. "Design and Implement on Volume Data Visualization System." Advanced Materials Research 433-440 (January 2012): 5680–85. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5680.

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Visualization of volume data is an important branch of science computing visualization and its application is very wide. This paper realized an interactive visualization system of regular volume data. Based on volume data visualization, this paper also realized 3-D model’s volume slice and equal-surface real time. It provides strong support for the researcher to find the laws behind the volume data.

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10

Suter, S. K., Jose A. Iglesias Guitian, F. Marton, et al. "Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization." IEEE Transactions on Visualization and Computer Graphics 17, no. 12 (2011): 2135–43. http://dx.doi.org/10.1109/tvcg.2011.214.

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11

Fuchs, Franz G., and Jon M. Hjelmervik. "Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry." IEEE Transactions on Visualization and Computer Graphics 22, no. 2 (2016): 1102–14. http://dx.doi.org/10.1109/tvcg.2015.2430337.

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12

Frey, S., and T. Ertl. "Flow-Based Temporal Selection for Interactive Volume Visualization." Computer Graphics Forum 36, no. 8 (2016): 153–65. http://dx.doi.org/10.1111/cgf.13070.

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13

Schröder, Peter, and Wolfgang Krüger. "Data parallel volume-rendering algorithms for interactive visualization." Visual Computer 9, no. 8 (1993): 405–16. http://dx.doi.org/10.1007/bf01888715.

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14

Weiskopf, D., K. Engel, and T. Ertl. "Interactive clipping techniques for texture-based volume visualization and volume shading." IEEE Transactions on Visualization and Computer Graphics 9, no. 3 (2003): 298–312. http://dx.doi.org/10.1109/tvcg.2003.1207438.

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15

Campoalegre, Lázaro, Pere Brunet, and Isabel Navazo. "Interactive visualization of medical volume models in mobile devices." Personal and Ubiquitous Computing 17, no. 7 (2012): 1503–14. http://dx.doi.org/10.1007/s00779-012-0596-0.

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16

Suter, S. K., M. Makhynia, and R. Pajarola. "TAMRESH - Tensor Approximation Multiresolution Hierarchy for Interactive Volume Visualization." Computer Graphics Forum 32, no. 3pt2 (2013): 151–60. http://dx.doi.org/10.1111/cgf.12102.

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17

Fang, Shiaofen, Yi Dai, Frederick Myers, Mihran Tuceryan, and Kenneth Dunn. "Three-dimensional microscopy data exploration by interactive volume visualization." Scanning 22, no. 3 (2006): 218–26. http://dx.doi.org/10.1002/sca.4950220310.

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18

Nelson, Thomas R., and Dolores H. Pretorius. "Interactive acquisition, analysis, and visualization of sonographic volume data." International Journal of Imaging Systems and Technology 8, no. 1 (1997): 26–37. http://dx.doi.org/10.1002/(sici)1098-1098(1997)8:1<26::aid-ima4>3.0.co;2-v.

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19

Langer, C., L. Fritz, M. Hadwiger, S. Wolfsberger, K. Bühler, and J. Beyer. "Interactive Diffusion-based Smoothing and Segmentation of Volumetric Datasets on Graphics Hardware." Methods of Information in Medicine 46, no. 03 (2007): 270–74. http://dx.doi.org/10.1160/me9042.

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Summary Objective : Volume segmentation with concurrent visualization is becoming an increasingly important part of medical diagnostics. This is due to the fact that the immediate visual feedback speeds up evaluation of the segmentation process, hence enhances segmentation quality. Therefore, our aim was to develop a method for volume segmentation and smoothing which achieves interactive performance on standard PCs and is useful in clinical practice (i.e. fast and of high quality). Methods : Our application is based on seeded region growing and nonlinear isotropic as well as anisotropic diffusion. We use current GPUs (graphics processing units) to speed up the computation of the diffusion process and use hardware-accelerated interactive volume rendering. Results : Using our approach the user can observe the diffusion process in real-time, change parameters interactively and view the result in a high-quality 3D direct volume rendering (DVR). Conclusion : The interactive nature of our algorithm and simultaneous visualization improved the usability of our segmentation and smoothing algorithm and proved useful in the clinical workflow. Using our application we were able to speed up the (an)isotropic diffusion process to achieve interactive performance.

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20

KUMAR, PIYUSH, and ANUPAM AGRAWAL. "GPU-ACCELERATED INTERACTIVE VISUALIZATION OF 3D VOLUMETRIC DATA USING CUDA." International Journal of Image and Graphics 13, no. 02 (2013): 1340003. http://dx.doi.org/10.1142/s0219467813400032.

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Improving the image quality and the rendering speed have always been a challenge to the programmers involved in large scale volume rendering especially in the field of medical image processing. The paper aims to perform volume rendering using the graphics processing unit (GPU), in which, with its massively parallel capability has the potential to revolutionize this field. This work is now better with the help of GPU accelerated system. The final results would allow the doctors to diagnose and analyze the 2D computed tomography (CT) scan data using three dimensional visualization techniques. The system is used in multiple types of datasets, from 10 MB to 350 MB medical volume data. Further, the use of compute unified device architecture (CUDA) framework, a low learning curve technology, for such purpose would greatly reduce the cost involved in CT scan analysis; hence bring it to the common masses. The volume rendering has been done on Nvidia Tesla C1060 (there are 240 CUDA cores, which provides execution of data parallely) card and its performance has also been benchmarked.

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21

Takanashi, Ikuko, Shigeru Muraki, Eric B. Lum, and Kwan-Liu Ma. "An Interactive Segmentation & Visualization Technique for Multispectral Volume Data." Journal of the Institute of Image Information and Television Engineers 56, no. 6 (2002): 963–72. http://dx.doi.org/10.3169/itej.56.963.

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22

Rieder, Christian, Felix Ritter, Matthias Raspe, and Heinz-Otto Peitgen. "Interactive Visualization of Multimodal Volume Data for Neurosurgical Tumor Treatment." Computer Graphics Forum 27, no. 3 (2008): 1055–62. http://dx.doi.org/10.1111/j.1467-8659.2008.01242.x.

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23

Sommer, Ove, Alexander Dietz, Rüdiger Westermann, and Thomas Ertl. "An interactive visualization and navigation tool for medical volume data." Computers & Graphics 23, no. 2 (1999): 233–44. http://dx.doi.org/10.1016/s0097-8493(99)00033-3.

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24

Maxime, Guilbot, and Xin Yang. "Fast interactive volume rendering method for adjustable vessel segmentation visualization." Journal of Shanghai University (English Edition) 12, no. 3 (2008): 240–48. http://dx.doi.org/10.1007/s11741-008-0310-2.

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25

Sohn, Bong-Soo. "Development of Interactive 3D Volume Visualization Techniques Using Contour Trees." Journal of the Korea Society of Computer and Information 16, no. 11 (2011): 67–76. http://dx.doi.org/10.9708/jksci.2011.16.11.067.

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26

FANG, SHIAOFEN, and MARWAN ADADA. "MULTI-SCALE ISO-SURFACE EXTRACTION FOR VOLUME VISUALIZATION." International Journal of Image and Graphics 06, no. 02 (2006): 173–85. http://dx.doi.org/10.1142/s0219467806002185.

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This paper describes a new multi-scale approach for the extraction of iso-surfaces from volume datasets. The goal is to automatically identify iso-surfaces that best approximate the boundary surfaces at different levels of details. Using histogram analysis, iso-values are extracted from histograms of boundary voxels defined by gradient thresholding or zero-crossing boundaries. Multi-scale smoothing of the histogram using Gaussian filters of various sizes allows the iso-surfaces to be defined hierarchically over a scale space map. It provides an interactive environment and volume navigation tools for the exploration of large volume datasets by visualizing the layers of the volume space in a multi-scale manner.

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27

Rowden, Alexander, Eric Krokos, Kirsten Whitley, and Amitabh Varshney. "Visualization of WiFi Signals Using Programmable Transfer Functions." Information 13, no. 5 (2022): 224. http://dx.doi.org/10.3390/info13050224.

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In this paper, we show how volume rendering with a Programmable Transfer Function can be used for the effective and comprehensible visualization of WiFi signals. A traditional transfer function uses a low-dimensional lookup table to map the volumetric scalar field to color and opacity. In this paper, we present the concept of a Programmable Transfer Function. We then show how generalizing traditional lookup-based transfer functions to Programmable Transfer Functions enables us to leverage view-dependent and real-time attributes of a volumetric field to depict the data variations of WiFi surfaces with low and high-frequency components. Our Programmable Transfer Functions facilitate interactive knowledge discovery and produce meaningful visualizations.

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28

Rowden, Alexander, Eric Krokos, Kirsten Whitley, and Amitabh Varshney. "Visualization of WiFi Signals Using Programmable Transfer Functions." Information 13, no. 5 (2022): 224. http://dx.doi.org/10.3390/info13050224.

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In this paper, we show how volume rendering with a Programmable Transfer Function can be used for the effective and comprehensible visualization of WiFi signals. A traditional transfer function uses a low-dimensional lookup table to map the volumetric scalar field to color and opacity. In this paper, we present the concept of a Programmable Transfer Function. We then show how generalizing traditional lookup-based transfer functions to Programmable Transfer Functions enables us to leverage view-dependent and real-time attributes of a volumetric field to depict the data variations of WiFi surfaces with low and high-frequency components. Our Programmable Transfer Functions facilitate interactive knowledge discovery and produce meaningful visualizations.

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29

Singh, Kishore, and Peter Best. "Interactive visual analysis of anomalous accounts payable transactions in SAP enterprise systems." Managerial Auditing Journal 31, no. 1 (2016): 35–63. http://dx.doi.org/10.1108/maj-10-2014-1117.

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Purpose – The purpose of this paper is to demonstrate the technical feasibility of implementing multi-view visualization methods to assist auditors in reviewing the integrity of high-volume accounting transactions. Modern enterprise resource planning (ERP) systems record several thousands of transactions daily. This makes it difficult to find a few instances of anomalous activities among legitimate transactions. Although continuous auditing and continuous monitoring systems perform substantial analytics, they often produce lengthy reports that require painstaking post-analysis. Approaches that reduce the burden of excessive information are more likely to contribute to the overall effectiveness of the audit process. The authors address this issue by designing and testing the use of visualization methods to present information graphically, to assist auditors in detecting anomalous and potentially fraudulent accounts payable transactions. The strength of the authors ' approach is its capacity for discovery and recognition of new and unexpected insights. Design/methodology/approach – Data were obtained from the SAP enterprise (ERP) system of a real-world organization. A framework for performing visual analytics was developed and applied to the data to determine its usefulness and effectiveness in identifying anomalous activities. Findings – The paper provides valuable insights into understanding the use of different types of visualizations to effectively identify anomalous activities. Research limitations/implications – Because this study emphasizes asset misappropriation, generalizing these findings to other categories of fraud, such as accounts receivable, must be made with caution. Practical implications – This paper provides a framework for developing an automated visualization solution which may have implications in practice. Originality/value – This paper demonstrates the need to understand the effectiveness of visualizations in detecting accounting fraud. This is directly applicable to organizations investigating methods of improving fraud detection in their ERP systems.

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30

Hacker, S., and H. Handels. "A Framework for Representation and Visualization of 3D Shape Variability of Organs in an Interactive Anatomical Atlas." Methods of Information in Medicine 48, no. 03 (2009): 272–81. http://dx.doi.org/10.3414/me0551.

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Summary Objectives: Computerized anatomical 3D atlases allow interactive exploration of the human anatomy and make it easy for the user to comprehend complex 3D structures and spatial interrelationships among organs. Besides the anatomy of one reference body inter-individual shape variations of organs in a population are of interest as well. In this paper, a new framework for representation and visualization of 3D shape variability of anatomical objects within an interactive 3D atlas is presented. Methods: In the VOXEL-MAN atlases realistic 3D visualizations of organs in high quality are generated for educational purposes using volume-based object representations. We extended the volume-based representation of organs to enable the 3D visualization of organs’ shape variability in the atlas. Therefore, the volume-based representation of the inner organs in the atlas is combined with a medial representation of organs of a population creating a compact description of shape variability. Results: With the framework developed different shape variations of an organ can be visualized within the context of a volume-based anatomical model. Using shape models of the kidney and the breathing lung as examples we demonstrate new possibilities such an approach offers for medical education. Furthermore, attributes like gender, age or pathology as well as shape attributes are assigned to each shape variant which can be used for selecting specific organs of the population. Conclusions: The inclusion of anatomical variability in a 3D interactive atlas presents considerable challenges, since such a system offers the chance to explore how anatomical structures vary in large populations, across age, gender and races, and in different disease states. The framework presented is a basis for the development of specialized variability atlases that focus e.g. on specific regions of the human body, groups of organs or specific topics of interest.

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31

Gupta, Yubraj, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva, and Rainer Heintzmann. "IMAGE-IN: Interactive web-based multidimensional 3D visualizer for multi-modal microscopy images." PLOS ONE 17, no. 12 (2022): e0279825. http://dx.doi.org/10.1371/journal.pone.0279825.

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Advances in microscopy hardware and storage capabilities lead to increasingly larger multidimensional datasets. The multiple dimensions are commonly associated with space, time, and color channels. Since “seeing is believing”, it is important to have easy access to user-friendly visualization software. Here we present IMAGE-IN, an interactive web-based multidimensional (N-D) viewer designed specifically for confocal laser scanning microscopy (CLSM) and focused ion beam scanning electron microscopy (FIB-SEM) data, with the goal of assisting biologists in their visualization and analysis tasks and promoting digital workflows. This new visualization platform includes intuitive multidimensional opacity fine-tuning, shading on/off, multiple blending modes for volume viewers, and the ability to handle multichannel volumetric data in volume and surface views. The software accepts a sequence of image files or stacked 3D images as input and offers a variety of viewing options ranging from 3D volume/surface rendering to multiplanar reconstruction approaches. We evaluate the performance by comparing the loading and rendering timings of a heterogeneous dataset of multichannel CLSM and FIB-SEM images on two devices with installed graphic cards, as well as comparing rendered image quality between ClearVolume (the ImageJ open-source desktop viewer), Napari (the Python desktop viewer), Imaris (the closed-source desktop viewer), and our proposed IMAGE-IN web viewer.

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32

WANG, ZHENLAN, CHEE-KONG CHUI, YIYU CAI, CHUAN-HENG ANG, and SWEE-HIN TEOH. "DYNAMIC LINEAR LEVEL OCTREE-BASED VOLUME RENDERING METHODS FOR INTERACTIVE MICROSURGICAL SIMULATION." International Journal of Image and Graphics 06, no. 02 (2006): 155–71. http://dx.doi.org/10.1142/s0219467806002173.

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Microsurgery is a highly complex surgical procedure on small body parts performed by a dedicated surgical team. An operating microscope is typically used to obtain a precise view of the soft tissues. The complexity of the microsurgical procedure makes it a suitable application of virtual/augmented reality technology for training purpose. In this paper, we present an overview of our simulator and then describe in details the visualization work that reconstructs the magnified view of the operating area from medical images. The visualization component is based entirely on our newly proposed dynamic linear level octree (DLLO)-based volume rendering methods. In comparison with the conventional ray casting algorithms, our computational method achieves fast rendering speed, reduces hardware requirement and combines surface-volume rendering for realistic and interactive PC-based medical simulations. The new algorithms are suitable for rendering dynamic medical data which are increasingly popular clinically.

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33

Tomandl, Bernd F., Peter Hastreiter, Knut E. W. Eberhardt, et al. "Virtual Labyrinthoscopy: Visualization of the Inner Ear with Interactive Direct Volume Rendering." RadioGraphics 20, no. 2 (2000): 547–58. http://dx.doi.org/10.1148/radiographics.20.2.g00mc11547.

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Tomandl, Bernd F., Peter Hastreiter, Christof Rezk-Salama, et al. "Local and Remote Visualization Techniques for Interactive Direct Volume Rendering in Neuroradiology." RadioGraphics 21, no. 6 (2001): 1561–72. http://dx.doi.org/10.1148/radiographics.21.6.g01nv241561.

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35

Gallo, Luigi, and Alessio Pierluigi Placitelli. "High-Fidelity Visualization of Large Medical Datasets on Commodity Hardware." ISRN Biomedical Engineering 2013 (June 27, 2013): 1–9. http://dx.doi.org/10.1155/2013/892967.

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Recent advances in CT and MRI static and dynamic scanning techniques have led to great improvements in the resolution and size of volumetric medical datasets, and this trend is still ongoing. However, the explosion of dataset size prevents clinicians from taking advantage of an interactive, high-resolution exploration of volumetric medical data on commodity hardware, due to the memory constraints of modern graphics cards. This paper presents a hybrid CPU-GPU volume ray-casting method and some hybrid-based inspection tools aimed at providing interactive, medical-quality visualization using an ordinary desktop PC. Experimental results show that the hybrid method provides a near-interactive high-fidelity visualization of large medical datasets even if only limited hardware resources are available.

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36

Lv, Teng, Jun Fu, and Bao Li. "Design and Application of Multi-Dimensional Visualization System for Large-Scale Ocean Data." ISPRS International Journal of Geo-Information 11, no. 9 (2022): 491. http://dx.doi.org/10.3390/ijgi11090491.

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With the constant deepening of research on marine environment simulation and information expression, there are higher and higher requirements for the sense of the reality of ocean data visualization results and the real-time interaction in the visualization process. Aiming at the challenges of 3D interactive key technology and GPU-based visualization algorithm technology, we developed a visualization system for large-scale 3D marine environmental data. The system realizes submarine terrain rendering, contour line visualization, isosurface visualization, section visualization, volume visualization and flow field visualization. In order to manage and express the data in the system, we developed a data management module, which can effectively integrate a large number of marine environmental data and manage them effectively. We developed a series of data analysis functions for the system, such as point query and line query, local analysis and multi-screen collaboration, etc. These functions can effectively improve the data analysis efficiency of users and meet the data analysis needs in multiple scenarios. The marine environmental data visualization system developed in this paper can efficiently and intuitively simulate and display the nature and changing process of marine water environmental factors.

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37

Lesev, Hristo, and Alexander Penev. "A Framework for Visual Dynamic Analysis of Ray Tracing Algorithms." Cybernetics and Information Technologies 14, no. 2 (2014): 38–49. http://dx.doi.org/10.2478/cait-2014-0018.

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Abstract A novel approach is presented for recording high volume data about ray tracing rendering systems' runtime state and its subsequent dynamic analysis and interactive visualization in the algorithm computational domain. Our framework extracts light paths traced by the system and leverages on a powerful filtering subsystem, helping interactive visualization and exploration of the desired subset of recorded data. We introduce a versatile data logging format and acceleration structures for easy access and filtering. We have implemented a plugin based framework and a tool set that realize all ideas presented in this paper. The framework provides data logging API for instrumenting production-ready, multithreaded, distributed renderers. The framework visualization tool enables deeper understanding of the ray tracing algorithms for novices, as well as for experts.

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38

Golby, Alexandra J., Gordon Kindlmann, Isaiah Norton, Alexander Yarmarkovich, Steven Pieper, and Ron Kikinis. "Interactive Diffusion Tensor Tractography Visualization for Neurosurgical Planning." Neurosurgery 68, no. 2 (2011): 496–505. http://dx.doi.org/10.1227/neu.0b013e3182061ebb.

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Abstract BACKGROUND: Diffusion tensor imaging (DTI) infers the trajectory and location of large white matter tracts by measuring the anisotropic diffusion of water. DTI data may then be analyzed and presented as tractography for visualization of the tracts in 3 dimensions. Despite the important information contained in tractography images, usefulness for neurosurgical planning has been limited by the inability to define which are critical structures within the mass of demonstrated fibers and to clarify their relationship to the tumor. OBJECTIVE: To develop a method to allow the interactive querying of tractography data sets for surgical planning and to provide a working software package for the research community. METHODS: The tool was implemented within an open source software project. Echo-planar DTI at 3 T was performed on 5 patients, followed by tensor calculation. Software was developed that allowed the placement of a dynamic seed point for local selection of fibers and for fiber display around a segmented structure, both with tunable parameters. A neurosurgeon was trained in the use of software in &lt; 1 hour and used it to review cases. RESULTS: Tracts near tumor and critical structures were interactively visualized in 3 dimensions to determine spatial relationships to lesion. Tracts were selected using 3 methods: anatomical and functional magnetic resonance imaging-defined regions of interest, distance from the segmented tumor volume, and dynamic seed-point spheres. CONCLUSION: Interactive tractography successfully enabled inspection of white matter structures that were in proximity to lesions, critical structures, and functional cortical areas, allowing the surgeon to explore the relationships between them.

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39

Sarthou, A., S. Mas, M. Jacquin, N. Moreno, and A. Salamon. "EARTHSCAPE, A MULTI-PURPOSE INTERACTIVE 3D GLOBE VIEWER FOR HYBRID DATA VISUALIZATION AND ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 20, 2015): 487–93. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-487-2015.

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The hybrid visualization and interaction tool EarthScape is presented here. The software is able to display simultaneously LiDAR point clouds, draped videos with moving footprint, volume scientific data (using volume rendering, isosurface and slice plane), raster data such as still satellite images, vector data and 3D models such as buildings or vehicles. The application runs on touch screen devices such as tablets. The software is based on open source libraries, such as OpenSceneGraph, osgEarth and OpenCV, and shader programming is used to implement volume rendering of scientific data. The next goal of EarthScape is to perform data analysis using ENVI Services Engine, a cloud data analysis solution. EarthScape is also designed to be a client of Jagwire which provides multisource geo-referenced video fluxes. When all these components will be included, EarthScape will be a multi-purpose platform that will provide at the same time data analysis, hybrid visualization and complex interactions. The software is available on demand for free at france@exelisvis.com.

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40

Li, Pan, Zhao Jun Zhou, and Meng Huang. "Study on 3D Seismic Data Field Hybrid Rendering Technique of Natural Gas Hydrate." Applied Mechanics and Materials 539 (July 2014): 161–64. http://dx.doi.org/10.4028/www.scientific.net/amm.539.161.

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3D visualization technology is a tool used for displaying, describing, and understanding the characteristics of geologic bodies, and features high efficiency, objective accuracy, visual expression, etc. In this paper, the man-machine interactive interpretation and 3D visualization technology rapidly displaying and analyzing the 3D seismic data of hydrate ore volume is researched and developed using the hybrid rendering technique. Through the integrated interpretation on the 3D space structure, stratum, and seismic attributes, the visualized multi-attribute superimposition analysis is implemented for describing the spatial distribution characteristics of hydrate ore volume and exquisitely describing the subtle geological characteristics of hydrate ore volume. By the hybrid rendering technique, authentication and interpretation are provided for the geological exploration work, so as to greatly enhance the visualization and accuracy of the geological analysis, and also provide a good decision-making foundation for the subsequent development of resources.

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41

Згода, Юрий Николаевич, Алексей Александрович Семенов, and Борис Георгиевич Вагер. "Features of BIM-model preparation for photorealistic interactive visualization in virtual and augmented reality." Вычислительные технологии, no. 4(25) (September 16, 2020): 69–82. http://dx.doi.org/10.25743/ict.2020.25.4.007.

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Описан высокоэффективный алгоритм экспорта BIM-моделей из BIM-пакета Autodesk Revit с целью построения интерактивной визуализации в виртуальной и дополненной реальности. Для демонстрации эффективности алгоритма выполнена его апробация на информационной модели с высокой степенью детализации. Проведен сравнительный анализ с различными программными комплексами, автоматизирующими экспорт BIM-моделей Purpose: built-in tools of software packages, such as Autodesk Revit or Renga do not allow rendering realistic BIM-model. Visualization tools of various graphical packages (Autodesk 3ds Max, Blender, Cinema 4D etc.) are mostly using ray tracing, which makes it almost impossible to change the camera angle, geometry materials, lighting parameters etc. in real-time. Therefore, an interactive BIM-model visualization is needed. Such visualization achieves its maximum efficiency when virtual and augmented reality technologies are employed, which allow studying the designed object in volume but requires preliminary processing for model optimization. The purpose of this work is the development of an algorithm for preparation of BIM-model for interactive visualization in virtual and augmented reality. Methodology: processing of BIM-models developed in BIM-modelling software package Autodesk Revit is considered (but main concepts could be applied to other BIM-modelling software packages). Autodesk 3ds Max was selected for model’s geometry processing. Various features of BIM-model export were examined, as well as available ways for optimization of geometry of a building, BIMmodel component structuring and material management. A literature on the subject of the study was analyzed. Findings: a universal algorithm has been developed allowing, on the basis of the information model of the building, in the shortest possible time to prepare a highly optimized 3D model, ready for interactive visualization Value: the developed algorithm can be applied to a BIM-model of any complexity. High level of model optimization allows performing realistic visualization with various interactive components thereby increasing overall realism of interactive visualization

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42

Dai, Yakang, Jian Zheng, Yuetao Yang, Duojie Kuai, and Xiaodong Yang. "Volume-Rendering-Based Interactive 3D Measurement for Quantitative Analysis of 3D Medical Images." Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/804573.

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3D medical images are widely used to assist diagnosis and surgical planning in clinical applications, where quantitative measurement of interesting objects in the image is of great importance. Volume rendering is widely used for qualitative visualization of 3D medical images. In this paper, we introduce a volume-rendering-based interactive 3D measurement framework for quantitative analysis of 3D medical images. In the framework, 3D widgets and volume clipping are integrated with volume rendering. Specifically, 3D plane widgets are manipulated to clip the volume to expose interesting objects. 3D plane widgets, 3D line widgets, and 3D angle widgets are then manipulated to measure the areas, distances, and angles of interesting objects. The methodology of the proposed framework is described. Experimental results indicate the performance of the interactive 3D measurement framework.

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43

Tian, Fenglin, Qing Mao, Yazhen Zhang, and Ge Chen. "i4Ocean: transfer function-based interactive visualization of ocean temperature and salinity volume data." International Journal of Digital Earth 14, no. 6 (2021): 766–88. http://dx.doi.org/10.1080/17538947.2021.1886355.

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44

Zhang, Qi, Roy Eagleson, and Terry M. Peters. "Rapid scalar value classification and volume clipping for interactive 3D medical image visualization." Visual Computer 27, no. 1 (2010): 3–19. http://dx.doi.org/10.1007/s00371-010-0509-z.

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45

Ihm, Insung, and Sanghun Park. "Wavelet-Based 3D Compression Scheme for Interactive Visualization of Very Large Volume Data." Computer Graphics Forum 18, no. 1 (1999): 3–15. http://dx.doi.org/10.1111/1467-8659.00298.

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46

Hassan, A. H., C. J. Fluke, and D. G. Barnes. "A Distributed GPU-Based Framework for Real-Time 3D Volume Rendering of Large Astronomical Data Cubes." Publications of the Astronomical Society of Australia 29, no. 3 (2012): 340–51. http://dx.doi.org/10.1071/as12025.

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AbstractWe present a framework to volume-render three-dimensional data cubes interactively using distributed ray-casting and volume-bricking over a cluster of workstations powered by one or more graphics processing units (GPUs) and a multi-core central processing unit (CPU). The main design target for this framework is to provide an in-core visualization solution able to provide three-dimensional interactive views of terabyte-sized data cubes. We tested the presented framework using a computing cluster comprising 64 nodes with a total of 128 GPUs. The framework proved to be scalable to render a 204 GB data cube with an average of 30 frames per second. Our performance analyses also compare the use of NVIDIA Tesla 1060 and 2050 GPU architectures and the effect of increasing the visualization output resolution on the rendering performance. Although our initial focus, as shown in the examples presented in this work, is volume rendering of spectral data cubes from radio astronomy, we contend that our approach has applicability to other disciplines where close to real-time volume rendering of terabyte-order three-dimensional data sets is a requirement.

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47

Paiz-Reyes, Evelyn, Mathieu Brédif, and Sidonie Christophe. "Cluttering Reduction for Interactive Navigation and Visualization of Historical Images." Proceedings of the ICA 4 (December 3, 2021): 1–7. http://dx.doi.org/10.5194/ica-proc-4-81-2021.

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Abstract. Iconographic representations, such as historical photos of geographic spaces, are precious cultural heritage resources capable of describing a particular geographical area’s evolution over time. These photographic collections may vary in size, between hundreds and thousands of items. With the advent of the digital era, many of these documents have been digitized, spatialized, and are available online. Browsing through these digital image collections represents new challenges. This paper examines the topic of historical image exploration in a virtual environment enabling the co-visualization of historical photos into a contemporary 3D scene. We address the topic of user interaction considering the potential volume of the input data. Our methodology is based on design guidelines that rely on visual perception techniques to ease visual complexity and improve saliency on specific cues. The designs are additionally implemented following an image-based rendering approach and evaluated in a group of users. Overall, these propositions may be a notable addition to creating innovative ways to visualize and discover historical images in a virtual geographic environment.

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48

Ma, Ji, David Murphy, Gregory Provan, Cian O'Mathuna, and Michael Hayes. "The Evaluation of Direct Volume Rendering-Based Uncertainty Visualization Techniques for 3D Scalar Data." International Journal of Image and Graphics 14, no. 04 (2014): 1450017. http://dx.doi.org/10.1142/s021946781450017x.

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Many techniques have been proposed to represent uncertainty in data visualization. However, little research has been reported on the evaluation of their effectiveness. Moreover, no studies have been conducted to evaluate direct volume rendering (DVR)-based uncertainty visualization techniques. In this paper, we present a novel method that evaluates the perceptual effectiveness of four existing and one proposed DVR-based uncertainty visualization techniques. Four types of searching tasks that include identifying the maximum uncertainty data, identifying the minimum uncertainty data, identifying the maximum scalar data and identifying the minimum scalar data have been involved in this study, and a total of twenty-eight participants have contributed to the final main user study. Our analysis suggested that the proposed linked views and interactive specification (LVIS) technique appears to be the most accurate among all techniques, although it takes the longest task completion time. For the four existing techniques, the overlays technique appears to be the most advantageous, and it takes similar task completion time as the others. We believe that these findings can provide useful guidance for future uncertainty visualization design.

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49

Qiu, Agen, Zhiran Zhang, Xinlin Qian, and Wangjun He. "Error-bounded and Number-bounded Approximate Spatial Query for Interactive Visualization." Open Geosciences 10, no. 1 (2018): 491–503. http://dx.doi.org/10.1515/geo-2018-0039.

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AbstractIn the big data era, an enormous amount of spatial and spatiotemporal data are generated every day. However, spatial query result sets that satisfy a query condition are very large, sometimes over hundreds or thousands of terabytes. Interactive visualization of big geospatial data calls for continuous query requests, and large query results prevent visual efficiency. Furthermore, traditional methods based on random sampling or line simplification are not suitable for spatial data visualization with bounded errors and bound vertex numbers. In this paper, we propose a vertex sampling method—the Balanced Douglas Peucker (B-DP) algorithm—to build hierarchical structures, where the order and weights of vertices are preserved in binary trees. Then, we develop query processing algorithms with bounded errors and bounded numbers, where the vertices are retrieved by binary trees’ breadth-first-searching (BFS) with a maximum-error-first (MEF) queue. Finally, we conduct an experimental study with OpenStreetMap (OSM) data to determine the effectiveness of our query method in interactive visualization. The results show that the proposed approach can markedly reduce the query results’ size and maintain high accuracy, and its performance is robust against the data volume.

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50

Bornik, Alexander, and Wolfgang Neubauer. "3D Visualization Techniques for Analysis and Archaeological Interpretation of GPR Data." Remote Sensing 14, no. 7 (2022): 1709. http://dx.doi.org/10.3390/rs14071709.

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The non-invasive detection and digital documentation of buried archaeological heritage by means of geophysical prospection is increasingly gaining importance in modern field archaeology and archaeological heritage management. It frequently provides the detailed information required for heritage protection or targeted further archaeological research. High-resolution magnetometry and ground-penetrating radar (GPR) became invaluable tools for the efficient and comprehensive non-invasive exploration of complete archaeological sites and archaeological landscapes. The analysis and detailed archaeological interpretation of the resulting large 2D and 3D datasets, and related data from aerial archaeology or airborne remote sensing, etc., is a time-consuming and complex process, which requires the integration of all data at hand, respective three-dimensional imagination, and a broad understanding of the archaeological problem; therefore, informative 3D visualizations supporting the exploration of complex 3D datasets and supporting the interpretative process are in great demand. This paper presents a novel integrated 3D GPR interpretation approach, centered around the flexible 3D visualization of heterogeneous data, which supports conjoint visualization of scenes composed of GPR volumes, 2D prospection imagery, and 3D interpretative models. We found that the flexible visual combination of the original 3D GPR datasets and images derived from the data applying post-processing techniques inspired by medical image analysis and seismic data processing contribute to the perceptibility of archaeologically relevant features and their respective context within a stratified volume. Moreover, such visualizations support the interpreting archaeologists in their development of a deeper understanding of the complex datasets as a starting point for and throughout the implemented interactive interpretative process.

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