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20th international conference on Ground Penetrating Radar, GPR, 2024

作者： Gao, Xin Lei, Jianwei Chen, Zhiqing Fang, Hongyuan School of Water Conservancy and Transportation Zhengzhou University Zhengzhou China

Reverse time migration is important in GPR image processing, but its efficiency and accuracy need to be improved. In terms of efficiency, reverse time migration uses the Finite Difference Time Domain (FDTD) algorithm for parallel CPU computation, which is inefficient. In terms of accuracy, it usually uses cross-correlation conditions for imaging, which reduces the imaging accuracy. To solve the above problems, this paper proposes the solution: using symplectic algorithm parallel GPU acceleration technology to improve the migration efficiency and using TV regularization technology to improve imaging accuracy. Finally, the proposed algorithm is verified by the road cavity model and the underground pipeline model. © Published under licence by IOP Publishing Ltd.

关键词： computer graphics equipment

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Uncertainty-aware visualization in Medical imaging - A Survey

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computer graphics FORUM 2021年第3期40卷 665-689页

作者： Gillmann, Christina Saur, Dorothee Wischgoll, Thomas Scheuermann, Gerik Univ Leipzig Leipzig Germany Univ Leipzig Med Ctr Leipzig Germany Wright State Univ Dayton OH 45435 USA

Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by uncertainty, which can highly influence the decision-making process of clinicians. visualization can help in understanding and communicating these uncertainties. In this manuscript, we aim to summarize the current state-of-the-art in uncertainty-aware visualization in medical imaging. Our report is based on the steps involved in medical imaging as well as its applications. Requirements are formulated to examine the considered approaches. In addition, this manuscript shows which approaches can be combined to form uncertainty-aware medical imaging pipelines. Based on our analysis, we are able to point to open problems in uncertainty-aware medical imaging.

关键词： Medical visualization Uncertainty visualization Survey

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SynchroLearn: Master Deadlock and Synchronization Through Interactive Learning 15

SynchroLearn: Master Deadlock and Synchronization Through In...

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15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Bhavya, G. Bhanot, Shreya Srinidhi, M. Sidhu, Samreen Krishnan, Sajitha Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Bengaluru India Amrita Vishwa Vidyapeetham Amrita School of Engineering Department of Computer Science & Engineering Bengaluru India

ISBN: (纸本)9798350370249

Today, educational tools have become necessary for learners to learn well and improve their knowledge. These tools complement knowledge as they can make it more vivid and add some simulation or game into the learning process. It is self-learning since the students can learn from any place and it also enables the students to go further on content that may interest them, and which may help them in the understanding of the concept. This paper takes the idea of developing SynchroLearn, which is an educational visualization tool developed with the help of HTML, CSS, and JavaScript that enables the teaching of deadlock handling techniques effectively for both the developers and the students. To expound on techniques such as the Producer-Consumer problem, Peterson's method, Test-and-Set Lock, and the Dining Philosophers problem, an online tool known as SynchroLearn helps in providing the learner an actual time visualization. These strategies present several ways of handling resources, and with that, the management of their utilization process, so that the processes could be controlled in terms of what resources they require, which in turn, helps to solve and prevent such cases of deadlocks. This approach helps to learn complex relationships as well as to understand the interactions between the different processes, identify the deadlock situations, and use the essential methods for their resolution. They bring out the idea linking theoretical proficiencies and practical application by demonstrating them as simple-to-follow graphics which are therefore easier to implement. © 2024 IEEE.

关键词： Students

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Exploring Advanced Segmentation Strategies for Breast Cancer Detection: A Comparative Study of U-Net Variants and Ensemble Model 1

Exploring Advanced Segmentation Strategies for Breast Cancer...

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1st international conference on Pioneering Developments in computer Science and Digital Technologies, IC2SDT 2024

作者： Varshney, Tunisha Verma, Karan Kaur, Arshpreet National Institute Of Technology Computer Science and Engineering Delhi India Amity University Computer Science and Engineering Bangluru India

ISBN: (纸本)9798350365016

Ultrasound imaging plays a crucial role in the detection of breast cancer, offering real-time visualization with high resolution and without ionizing radiation. Accurate segmentation of tumors from ultrasound images is essential for precise diagnosis and treatment planning. This study assesses the effectiveness of the basic U-Net architecture and its variants, which involve replacing the encoder with convolutional networks like ResNet50 and VGG16. Additionally, the study explores the ensemble of both models to further enhance breast cancer detection from ultrasound images. The advantage of ensemble learning lies in its ability to harness the strengths of individual models, thereby improving overall performance and robustness by mitigating weaknesses and uncertainties associated with any single model. In this study BUSI, a public dataset is used for experiments. Ensemble model performs better as compare to Resnet50UNet and Vgg16UNet. © 2024 IEEE.

关键词： Ultrasonic imaging

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Research on graphics Assisted Stereotactic Orientation System Based on Virtual Reality

Research on Graphics Assisted Stereotactic Orientation Syste...

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2023 IEEE international conference on Sensors, Electronics and computer Engineering, ICSECE 2023

作者： Hui, Zhang Yi, Shi Wanjiang University of Technology Ma'anshan China Keimyung University 704-701 Dalgobol-daero Dalseo-gu Daegu Korea Republic of

ISBN: (纸本)9798350313734

This paper designs a spatial graphics stereotactic system based on virtual reality technology. The system is based on real-time visualization, robotics and virtual reality technologies to assist operators in spatial mapping and positioning. An efficient interactive system is constructed by tracking plane AIDS and hands effectively with a single depth camera. A tactile redirection method is proposed to solve the interaction errors caused by the difference in the dimensions of virtual space and real space interaction planes. This allows the interaction to continuously switch between adjacent targets. The simulation results show that this system can not only be widely used in 3D positioning and orientation of virtual reality system helmet and data glove, but also in the field of spatial mapping control and positioning and orientation and multimedia system. © 2023 IEEE.

关键词： Virtual reality

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3D visualization techniques based on *** and Quasar framework for digital twin systems 11

3D visualization techniques based on *** and Quasar framewor...

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Optoelectronic imaging and Multimedia Technology XI 2024

作者： Li, Chunming Zhan, Li Gao, Yueteng Yuan, Songling School of Information Science and Engineering Hebei University of Science and Technology Hebei Shijiazhuang050018 China Shijiazhuang Jinghua Electronic Industry Co. Ltd Hebei Shijiazhuang050299 China

ISBN: (纸本)9781510682061

Digital twin technology has been widely used in modern industrial and scientific research fields, and its application scenarios are increasingly diversified. However, the current applications have not yet effectively combined stable and efficient rendering methods with flexible and complete interactive functions. In this paper, we investigate the application of 3D visualization technology based on *** and Quasar framework in digital twin system, in order to find an effective merging method. Firstly, this study uses a optical 3D scanner to capture high-precision 3D model data in OBJ format, which provides a real and accurate data base for the digital twin system. Secondly, within the Quasar framework, the model was efficiently reconstructed and rendered in 3D using the *** library to achieve a smooth interactive experience and realistic visual effects. Detailed tests on the response time, rendering speed and stability of the visualization system were conducted to analyse the performance, and the test results showed that the system can ensure the smoothness and real-time performance of the user in the process of handling large and complex models. In addition, the interaction function of the system is optimised and tested, which enables users to observe and operate the model more conveniently by providing multiple viewpoint switching and detail zoom functions. Finally, the experimental results indicate that this study demonstrates the strong potential and application value of 3D visualization technology in the field of digital twin, which is of great significance in promoting the application of digital twin technology in various industries. © 2024 SPIE.

关键词： Rendering (computer graphics)

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Analyzing Gray Matter Structural Networks Using Diffusion Tensor imaging

Analyzing Gray Matter Structural Networks Using Diffusion Te...

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2024 international conference on Communication, computer Sciences and Engineering, IC3SE 2024

作者： Singh, Raghvendra Bharti, Dilip Kumar Chaudhary, Preeti Tripathi, Akhilesh Kanaujia, Vishal Kumar Verma, Aditya Grater Noida India Abes Engineering College Computer Science And Engineering-Data Science Ghaziabad India Graphic Era Hill University Computer Science And Engineering Dehradun India Galgotia University Computer Science And Engineering Deapartment Greater Noida India

ISBN: (纸本)9798350366846

Recent advancements in scientific imaging techniques have allowed for the visualization and analysis of elaborate structural networks within the human brain. one of these techniques, referred to as diffusion tensor imaging (DTI), has end up more and more famous inside the have a look at of grey be counted structural networks. DTI measures the diffusion of water molecules within the brain, providing statistics approximately the integrity of white remember pathways and structural connectivity between special mind areas. The first step in reading grey count number structural networks the usage of DTI is to acquire DTI facts from a topic's brain. This entails the use of magnetic resonance imaging (MRI) and specialized imaging sequences to seize the diffusion records. The ensuing statistics is then processed to generate three-D maps of white count number tracts and their connections, known as tractography. Once tractography is entire, a number of community evaluation techniques may be applied to the information to benefit insights into the corporation and characteristic of the mind's structural networks. Those techniques consist of measures of community density, connectivity strength, and network centrality, which could assist discover key regions and pathways inside the community. One not unusual application of DTI in gray count structural community analysis is the look at of neurological disorders which includes Alzheimer's ailment and a couple of sclerosis. Through evaluating the structural connectivity patterns in healthy people to people with the sickness. The research focus described in the abstract revolves around using DTI to study the structural networks of the human brain, with a particular emphasis on gray matter, and its applications in understanding neurological disorders. © 2024 IEEE.

关键词： Diffusion tensor imaging

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Message from the ISMAR 2023 Science and Technology Journal Program Chairs and TVCG Guest Editors

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IEEE TRANSACTIONS ON visualization AND computer graphics 2023年第11期29卷 vi-vi页

作者： Fiorentino, Michele Gabbard, Joseph L. Lee, Gun Marchal, Maud Moreau, Guillaume Polytech Univ Bari Bari Italy Virginia Tech Blacksburg VA USA Univ South Australia Adelaide Australia Univ Rennes IRISA INSA Rennes France IMT Atlantique Nantes France

In this special issue of IEEE Transactions on visualization and computer graphics (TVCG), we are pleased to present the journal papers from the 22nd IEEE international Symposium on Mixed and Augmented Reality (ISMAR 2023), which will be held as a hybrid conference between October 16 and 20, 2023 in Sydney, Australia. ISMAR continues the over twenty-year long tradition of IWAR, ISMR, and ISAR, and is the premier conference for Mixed and Augmented Reality in the world.

关键词： Special issues and sections Meetings visualization computer graphics

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X-SITE CAVE: Evolution of High-Resolution Immersive Display Towards a Cost-Efficient and Open-Source Design

X-SITE CAVE: Evolution of High-Resolution Immersive Display ...

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international conference on Extended Reality (XR Salento)

作者： Richter, Florian Jung, Bernhard Univ Min & Technol Virtual Real & Multimedia Grp Freiberg Germany

ISBN: (纸本)9783031717062;9783031717079

The X-SITE CAVE at Freiberg University is an immersive VR platform for interactive scientific visualization. Main features include its tiled-display design yielding a very high visual resolution and its small spatial footprint. Since its initial setup in 2008, the system has been under continuous development and modernization. An important aspect is the evolution from a rather expensive and partially proprietary platform to a cost-efficient and open-source driven system. High- and medium cost components like commercial calibration software and the initial set of projectors were gradually replaced by open-source software, in-house developments and off-the-shelf hardware. An overview of the history and the massive changes over time is provided with special focus on more recent developments including hardware upgrades, calibration improvements and integration of modern rendering software. A novelty, to the best of our knowledge, is the integration of the open-source game engine Godot into a CAVE.

关键词： virtual reality immersive displays 3d computer graphics scientific visualization game engines

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Weighted Sparse Constraint Based Reconstruction Networks for Sparse View CT imaging 15

Weighted Sparse Constraint Based Reconstruction Networks for...

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15th international conference on graphics and Image Processing, ICGIP 2023

作者： Kang, Yanqin Liu, Jin Liu, Tao Qiang, Jun College of Computer and Information Anhui Polytechnic University Wuhu China Ministry of Education Nanjing China

ISBN: (纸本)9781510675018

In practical scenarios, sparse view computed tomography (CT) is a successful method for reducing the X-ray radiation dose and imaging time. Generating high-quality images with undersampled projection data using conventional techniques is difficult. To reconstruction high quality CT image from the situation of undersampling, we proposed a weighted sparse constraint reconstruction (WSCR) framework in this work. Motivated by the concept of deep convolutional neural network, we expand the iterative reconstruction scheme for constructing reweighted sparse representation statistically, with a specific number of iterations for training based on data-driven approach, resulting in the development of a reconstruction network based on WSCR. The WSCR network is composed of several iteration blocks, with each block containing two modules: image reconstruction and sparse representation network modules. The CT image is updated using a deep learning-based prior constraint in the image reconstruction module. To further restrict the process of reconstructing the image, the reweighted feature map and filter updating are implemented using a sparse representation network. The results of the experiment showed that our suggested WCSR network was able to achieve superior performance in removing artifacts and preserving edges. © 2024 SPIE. All rights reserved.

关键词： Image reconstruction

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