Academic literature on the topic 'VTK (Visualization Toolkit)'

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Journal articles on the topic "VTK (Visualization Toolkit)"

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Chen, Jiawei, Zihao Pan, and Mark David Butala. "A Post-processing Computational Fluid Dynamics System for Turbomachinery." Journal of Physics: Conference Series 2741, no. 1 (2024): 012007. http://dx.doi.org/10.1088/1742-6596/2741/1/012007.

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Abstract Computational fluid dynamics applied to the turbomachinery domain require specialized post-processing functionality. For computational fluid dynamics turbomachinery, we have developed a lightweight post-processing software. We have developed a system utilizing the Visualization Toolkit (VTK) for rendering and the Qt toolkit as the cross-platform graphical user interface platform. The system is lightweight, which implements the fundamental postprocessing functions such as iso-surface and cut plane visualization and determines the meridional plane and the constant blade/van height plane. We designed and evaluated two different methods to determine the meridional plane and the constant blade/van height plane and used VTK filters in VTK to obtain necessary scene information. Finally, we visualized these planes by using the VTK visualization pipeline.
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H V, Sreepathy, Nandish S, and Chaitanya CVS. "Remote Access of Medical Image Processing and 3D Visualization Application using Raspberry Pi." International Journal of Engineering & Technology 7, no. 3.1 (2018): 171. http://dx.doi.org/10.14419/ijet.v7i3.1.17080.

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With the extensive growth in technology, healthcare sector has benefitted a lot recently. Looking into the academic research and validation in the area of medical image processing and visualization, many platforms and the open-source resources are available. Insight toolkit (ITK) and visualization toolkit (VTK) are extensively used for medical image processing and 3D visualization respectively. Resources used to develop an application using ITK-VTK and same resources be used to deliver it to the users such as, clinicians, doctors etc. This can be achieved by using respective hardware and the infrastructure. In the proposed article, the infrastructure and resource used to build and deploy the application and remote access given to the users are elucidated.
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Wang, Qian Li, Jian Fu, Ren Bo Tan, and Li Yuan Chen. "The Design and Realization of Real-Time Three-Dimensional Visualization System for Industrial Computed Tomography Based on GPU." Applied Mechanics and Materials 268-270 (December 2012): 1706–9. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1706.

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Industrial computed tomography (ICT) is an advanced non-contact non-destructive testing technique and plays a key role in many fields. Low imaging efficiency is one of the drawbacks of ICT towards engineering applications. In this paper, we report the design and realization of real-time three-dimensional Visualization System for ICT based on visualization toolkit (VTK) and the graphics processing unit (GPU) technique. It greatly improves the imaging speed by developing the new techniques in three aspects such as image reconstruction, data compression and fast volume rendering with GPU and VTK. It will find applications in three-dimensional ICT systems.
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Yan, Rong-guo, Changqing Xu, and Xu-dong Guo. "Reconstruction and Visualization of Human Gastrointestinal Tract." International Journal of Biomedical Science 8, no. 1 (2012): 22–27. http://dx.doi.org/10.59566/ijbs.2012.8022.

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Background: Converting the two-dimensional (2D) cross-sectional photographs into an intuitive three-dimensional (3D) model is a basic task for medical imaging data for auxiliary disease-linked diagnosis purpose. Methods: Reconstruction and visualization process of gastrointestinal cross-sectional photographs includes image preparation, image registration, image segmentation, 3D surface-rendering reconstruction, and implementation of 3D digital visualization. Results: Using the visualization toolkit (VTK), we implemented 3D digital reconstruction and visualization of gastrointestinal tract, whose visualized model can be zoomed, paned, and rotated, including the stomach, the small intestine, and the large intestine.
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Taka, Senate Johannes, and Subhadra Srinivasan. "NIRViz: 3D Visualization Software for Multimodality Optical Imaging Using Visualization Toolkit (VTK) and Insight Segmentation Toolkit (ITK)." Journal of Digital Imaging 24, no. 6 (2011): 1103–11. http://dx.doi.org/10.1007/s10278-011-9362-5.

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Moreland, Kenneth, Christopher Sewell, William Usher, et al. "VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures." IEEE Computer Graphics and Applications 36, no. 3 (2016): 48–58. http://dx.doi.org/10.1109/mcg.2016.48.

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Zhou, Lin Na, Shi Jian Zhu, and Jing Jun Lou. "A Simple Method for Visualizing the Phase Space of Chaotic Dynamics System." Applied Mechanics and Materials 71-78 (July 2011): 4463–66. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.4463.

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The chaotic dynamics system is so complex that the traditional methods of nonlinear numerical approximation can’t intuitively reflect the characteristics of chaotic behaviors. We propose a simple method for visualizing the phase space of chaotic dynamics system. With the help of the visualization technology based on VTK(Visualization Toolkit), we can quickly render the phase space of the system with different phase values and this can help us explore the inner rule of chaotic dynamics system.
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Mangesh, Nayak. "Visualization of CAD and CAE Files using VTK and MFC." International Journal of Management, Technology, and Social Sciences (IJMTS) 3, no. 1 (2018): 18–24. https://doi.org/10.5281/zenodo.1163159.

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This software is capable of reading the file formats like - .OBJ, .WRL, .STL, .STEP, .IGES and 3D scenes can be rendered with an inclusion of the properties viz. applying various Lights<em>, </em>Material Color, and Options for Solid, Wire frame, Points and Transparency viewing, Texture Mapping, Transformation, Walkthrough, Cut Sections, Background color selection, Background and Base image selection, Markup features such as Sealing and Measurements, Different camera views, Parts selection and deletion, Copying the rendered object to the clipboard and enabling to view more than one models through multiple tabbed windows. Stereovision feature has been added to this software, which gives better 3D visual effect at lower cost. This software is also intended to incorporate ease of use and portability so that it can run on any low end workstation having windows operating system.
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Li, Yi Nuo, Jun Xiao, Zhen Ya Shen, and Ying Wang. "Discontinuous Deformation Analysis Visualization System Based on VTK." Advanced Materials Research 765-767 (September 2013): 542–46. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.542.

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Discontinuous Deformation Analysis (DDA) is an emerging numerical simulation technology in rock engineering field, which could be used to analyze discontinuous blocks movement. DDA has been widely used in the areas ranging from rock slope stability analysis, underground chamber constructions to earth quake loading predictions. But so far, there is no pre and post processing program for DDA algorithm. In order to make DDA more effectively meet the needs of practical projects, and analyze the computing results more clearly, effectively and conveniently, in this paper, we use an open source VTK (Visualization Toolkit) system to visualize the results of DDA, design and implement a visualization system. We also developed friendly GUI (Graphic User Interface) based on QT. Finally, we demonstrate this tool with two project examples, which will prove that the visualization system is direct, convenient and easy to extension.
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Hanwell, Marcus D., Kenneth M. Martin, Aashish Chaudhary, and Lisa S. Avila. "The Visualization Toolkit (VTK): Rewriting the rendering code for modern graphics cards." SoftwareX 1-2 (September 2015): 9–12. http://dx.doi.org/10.1016/j.softx.2015.04.001.

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Dissertations / Theses on the topic "VTK (Visualization Toolkit)"

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Perini, Ana Paula. "Software para orientação de neurocirurgia guiada por um transdutor espacial 3D." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-21012008-203347/.

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Neurocirurgia guiada por imagem permite ao neurocirurgião navegar dentro do cérebro do paciente, usando imagens pré-operatórias como orientação, através do uso de sistemas de rastreamento, durante o procedimento cirúrgico. Muitos sistemas desenvolvidos para neurocirurgia guiada por imagem, empregam imagens pré-operatórias para fornecer orientação ao cirurgião, durante o procedimento cirúrgico. Seguindo um procedimento de calibração, a posição tridimensional e orientação dos instrumentos cirúrgicos podem ser transmitidas ao computador. Estas informações espaciais são usadas para acessar a região de interesse nas imagens pré-operatórias com a finalidade de apresentá-las ao cirurgião durante o procedimento. Contudo, quando ocorre a craniotomia, o movimento dos tecidos do cérebro pode ser fonte significativa de erro nestes sistemas. A arquitetura implementada neste trabalho visa o desenvolvimento de um sistema que permite planejamento e orientação cirúrgica. Para orientação cirúrgica foi desenvolvido um software que permite extrair fatias do volume de imagens de ressonância magnética (IRM), com orientação fornecida por um transdutor de posição magnético (Polhemus®). As fatias extraídas serão, futuramente, correlacionadas com imagens de ultra-som (IUS) intra-operatórias para detectar e corrigir a deformação do tecido cerebral durante a cirurgia. A ferramenta para navegação pré-cirúrgica foi desenvolvida para fornecer três fatias ortogonais obtidas através do volume de imagens. Na metodologia usada para a implementação do software, foi utilizada a linguagem de programação Python e a biblioteca gráfica Visualization Toolkit (VTK). Os resultados mostraram que o programa de planejamento pré-cirúrgico, gerou uma alta resolução na visualização dos planos ortogonais e oblíquos das IRM, além de ser rápido e interativo. O programa de extrair fatias do volume de IRM permitiu a aplicação de transformações ao volume, com base nos valores de coordenadas fornecidos pelo transdutor de posição.<br>Image guided neurosurgery enables the neurosurgeon to navigate inside the patient\'s brain using pre-operative images as a guide and a tracking system, during surgical procedure. Many image guided neurosurgery implementations employ pre-operative images as a guide to the surgeons throughout surgical procedure. Following a calibration procedure, three-dimensional position and orientation of surgical instruments may be transmitted to computer. The spatial information is used to access an interest region, in the pre-operative images, displaying them to the neurosurgeon during the surgical procedure. However, when a craniotomy is involved, movements of brain tissue can be a significant source of error in these systems. The architecture implemented in this work intends the development of a system to surgical planning and orientation. For surgical orientation, the software developed allows the extraction of slices from the volume of the magnetic resonance images (MRI) with orientation supplied by a magnetic position sensor (Polhemus®). In the future, the extracted slices will be correlated with intra-operative ultrasound images to detect and to correct the deformation of brain tissue during the surgery. Also, a tool for pre-operative navigation was developed, providing three orthogonal planes through the image volume. In the methodology used for the software implementation, the Python programming language and the Visualization Toolkit (VTK) graphics library were used. The results showed that the program of pre-operative navigation had high resolution in the visualization of orthogonal and oblique MRI planes. Furthermore, it was fast and interactive. The program to extract slices of the MRI volume allowed the application of transformations in the volume, using coordinates supplied by the position sensor.
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Book chapters on the topic "VTK (Visualization Toolkit)"

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Selver M. Alper, Fischer Felix, Gezer Sinem, Hillen Walter, and Dicle Oğuz. "Semi-Automatic Segmentation Methods for 3-D Visualization and Analysis of the Liver." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-432-9-1133.

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Pre-evaluation of donors prior to surgery of living donated liver transplantation is one of the challenging applications that computer aided systems are needed. The precise measurement of liver volume requires effective segmentation procedures, while three dimensional rendering of the segmented data provides demonstrative information to radiologists and surgeons before surgery. The Insight Toolkit provides effective algorithms for segmentation, which are also optimized for high computational performance and processing time. Furthermore, An ITK pipeline can be combined with a VTK pipeline, so that the result of segmentation can be represented directly in 3-D using VTK. Therefore, there is an on-going trend for developing ITK/VTK based systems. This study presents quantitative and qualitative performance evaluation of two effective ITK algorithms on segmentation of liver from CTA data sets.
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Kilindris, Thomas V., and Kiki Theodorou. "Combining Geometry and Image in Biomedical Systems." In Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-314-2.ch013.

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Patient anatomy, biochemical response, as well functional evaluation at organ level, are key fields that produce a significant amount of multi modal information during medical diagnosis. Visualization, processing, and storage of the acquired data sets are essential tasks in everyday medical practice. In order to perform complex processing that involves or rely on image data a robust as well versatile data structure was used as extension of the Visualization Toolkit (VTK). The proposed structure serves as a universal registration container for acquired information and post processed resulted data. The structure is a dynamic multidimensional data holder to host several modalities and/or Meta data like fused image sets, extracted features (volumetric, surfaces, edges) providing a universal coordinate system used for calculations and geometric processes. A case study of Treatment Planning System (TPS) in the stereotactic radiotherapy (RT) based on the proposed structure is discussed as an efficient medical application.
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Conference papers on the topic "VTK (Visualization Toolkit)"

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Gandel, Lucas, and Julien Jomier. "Tutorial 2: Developing Virtual Reality applications with the Visualization Toolkit (VTK)." In 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct). IEEE, 2017. http://dx.doi.org/10.1109/ismar-adjunct.2017.17.

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Shahnawaz, Vishant J., Judy M. Vance, and Sasikumar V. Kutti. "Visualization of Post-Processed CFD Data in a Virtual Environment." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9042.

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Abstract This paper discusses the development of a virtual reality (VR) interface for the visualization of Computational Fluid Dynamics (CFD) data. The application, VR-CFD, provides an immersive and interactive graphical environment in which users can examine the analysis results from a CFD analysis of a flow field in three-dimensional space. It has been tested and implemented with virtual reality devices such as the C2, head mounted display (HMD) and desktop VR. The application is designed to read PLOT3D structured grid data and to display the flow field parameters using features such as streamlines, cutting planes, iso-surfaces, rakes, vector fields and scalar fields. Visualization Toolkit (VTK), a data visualization library, is used along with OpenGL arid the C2 VR interface libraries, to develop the application. Analysts and designers have used VR-CFD to visualize and understand complex three-dimensional fluid flow phenomena. The combination of three-dimensional interaction capability and the C2 virtual reality environment has been shown to facilitate collaborative discussions between analysts and engineers concerning the appropriateness of the CFD model and the characteristics of the fluid flow.
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Advincula, Welsey Daniel C., Jose Antonio G. Choco, Kryzz Amiel G. Magpantay, et al. "Development and future trends in the application of visualization toolkit (VTK): The case for medical image 3D reconstruction." In SECOND INTERNATIONAL CONFERENCE OF MATHEMATICS (SICME2019). Author(s), 2019. http://dx.doi.org/10.1063/1.5096690.

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Ngana, Frederika Rambu, Ruth Aryati Rue Dima, Laura Anastasi Seseragi Lapono, and Andreas Christian Louk. "Medical Visualization from Hospital in Kupang City Based on Visualization Toolkits." In The 4th International Conference on Science and Technology Applications. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-1ym61b.

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Medical visualization requires interdisciplinary groups of researchers to analyze and explore medical data. Visualizing medical data can use open-source visualization software to avoid administration effort in medical visualization collaboration works. Visualization Toolkits (VTK) is a free, open source for medical visualization. VTK has been used to reconstruct medical images. However, few studies have used VTK to visualize DICOM data from Computed Tomography (CT) scan images using local hospital data in Indonesia. This study aims to reconstruct DICOM data from CT scan of the local hospital in Kupang city, Province Nusa Tenggara Timur, Indonesia. We used VTK to visualize the CT scan images of the head, thorax, and abdomen into two-dimensional (2D) and three-dimensional (3D) images. The DICOM data was visualized first in 2D, and then it was reconstructed into 3D using ray casting and volume rendering algorithm on VTK 8.2. The VTK was built on C++ and Visual Studio 2017. We have successfully demonstrated VTK to visualize 2D and 3D CT scan data from the local hospital in Kupang city. In the future, VTK has the potential to be used by a group of researchers using local hospital data in Indonesia to visualize 2D and 3D CT scan images.
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Sanatkhani, Soroosh, and Prahlad G. Menon. "Three-Dimensional Cephalometric Analysis Using Computed Tomographic Imaging." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88259.

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Successful outcomes from the use of orthodontic devices are underpinned on their effective anchorage and the loading that they apply to the underlying facial structures. Anchorage plays an important role in determining the point of application of the corrective forces and subsequently the orientation of the resultant of these forces, which in-turn governs the outcome of treatment. Therefore, patient-specific design of anchors and their placement may benefit significantly from personalization using patient-specific and three-dimensional (3D) cephalometry. 3D cephalometry is therefore a first step to personalization of orthodontic treatment. In this feasibility study, we demonstrate the viability a novel image processing and surface analysis pipeline to quantify facial symmetry about the mid-sagittal facial plane, which may offer insight into optimal placement and orientation for implantation of orthodontic anchors, starting with patient-specific cone beam computed tomography (CBCT) images. Typical assessments of geometrical features/attributes of face include size, position, orientation, shape, and symmetry. Using 3D CBCT images in the DICOM image format, skull images were first segmented using a basic iso-contouring approach. To quantify symmetry, we split the skull along the mid-sagittal plane and used an iterative closest point (ICP) approach in order to rigidly co-register the left and right sides of the skull, optimizing for rotation, translation and scaling, after reflection of one half across the mid-sagittal plane. This was accomplished using an in-house plugin is developed for the open-source visualization toolkit (VTK) based 3D visualization tool, Paraview (Kitware Inc.). Finally, using a signed regional distance mapping plugin we were able to assess the regional asymmetry of regions of the skull (e.g. upper and lower jaw – specific targets for therapy) using colormaps of regional asymmetry (in terms of left-v/s-right side surface distance) and visualized the same as vector glyphs. The direction of these vectors is synonymous with anticipated regional forces required in order to achieve left-right symmetry, which in-turn may have value in surgical planning for orthodontic implantation. In sum, we demonstrate a workflow for computer-aided cephalometry to assess the symmetry of the skull, which shows promise for personalized orthodontic anchor design.
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