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3D Medical Image Modeling utilizing DICOM Data

3D Medical Image Modeling utilizing DICOM Data

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), IEEE conference on

作者： Apoorva Singh G.R. Hemalakshmi Bhavya Lalchandani Ishank Singhal Akshat Gupta Nilanjan Sarkar School of Computer Science and Engineering VIT Bhopal University Madhya Pradesh India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

Medical image visualization has secured an important place in modern diagnostics. The standard format for storage and exchange of such images is DICOM (Digital imaging and Communications in Medicine). It has nevertheless found extensive application, despite the fact that traditional means of 2D visualization can normally not provide a full understanding of complex anatomical structures. This paper introduces DMIM, a 3D medical image modeling framework that leverages the DICOM structure to enhance medical image visualization. The framework employs high-level Python libraries and integrates MongoDB, a NoSQL database, to efficiently manage large-scale medical datasets. It provides an interactive, web-based 3D visualization platform using WebGL, offering tools for real-time image manipulation such as rotation, zooming, and panning. The DMIM framework presents a scalable and accessible solution, with the potential to significantly impact clinical diagnostics and medical research by enabling intuitive visualization and interpretation of complex medical images.

关键词： Solid modeling Technological innovation Three-dimensional displays Data visualization Medical services Anatomical structure Rendering (computer graphics) Real-time systems DICOM Standards

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End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis 41st

End-to-End Transformer Architecture with Novel Ensemble Lea...

引用

41st computer graphics international conference, CGI 2024

作者： Abdul Wahid, Junaid Ayoub, Muhammad Xu, Mingliang Jiang, Xiaoheng Lei, Shi Li, Lifeng Hussain, Shabir Khawaja, Ashfaque Gao, Yufei School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou450001 China School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai200240 China School of Computer Science and Engineering Central South University Hunan Changsha336017 China School of Cyber Space and Security Zhengzhou University Zhengzhou450002 China Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Shenzhen100084 China

ISBN: (纸本)9783031820236

This study is an extension of our previously published manuscript [2]. Building upon the foundations laid in our earlier work, this research further refines and extends the transformer-based approach to enhance its diagnostic capabilities. The focus remains on the integration of multi-modal information, combining both textual clinical narratives and imaging data from multi slice CT scans, to provide a more comprehensive and accurate diagnosis of brain strokes. In addition, we introduce a new ensemble learning approach based on logic gates. This innovative method combines information from clinical narratives and CT scans to enhance the diagnostic capabilities of our framework, marking a significant evolution in our approach to advancing precision in brain stroke detection. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： computerized tomography

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A Study on Occlusion Removal Technology Using Integral imaging with Semantic Segmentation and Predictive Labeling 23

A Study on Occlusion Removal Technology Using Integral Imagi...

引用

23rd international conference on Control, Automation and Systems, ICCAS 2023

作者： Kim, Hyun-Woo Huh, Jong-Hoon Lee, Min-Chul Kyushu Institute of Technology Department of Computer Science and Networks Fukuoka Iizuka820-8502 Japan Kyushu Institute of Technology Department of Physics and Information Technology Fukuoka Iizuka820-8502 Japan

ISBN: (纸本)9788993215274

In this paper, we propose an improved occluded object visualization method using semantic segmentation and predictive labeling based on integral imaging (InIm) technology. InIm is a passive 3D visualization technique that can generate 3D information through elemental images with different perspectives of information about an object and, it can be used to remove occlusion. However, occlusion pixels in elemental images can degrade the quality of reconstructed images. Our proposed method can remove occlusion and visualize the object of interest. In addition, we propose a predictive labeling method for reducing processing time, which can generate accurate 3D object information without occlusion. Therefore, when the proposed method is commercialized, it is expected to contribute to increasing the safety of autonomous driving technology. © 2023 ICROS.

关键词： Semantic Segmentation

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MRI and PET/SPECT Image Fusion Based on Residual Network 15

MRI and PET/SPECT Image Fusion Based on Residual Network

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

作者： Chen, Miantao Wang, Huabin Zuo, Zhengxiang 1.Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging Anhui University Hefei 230601 China 2. School of Computer Science and Technology Anhui University Hefei 230601 China

ISBN: (纸本)9781510675018

Aiming at the problems of blurred edge structure, loss of texture details, distortion and slow operation speed in medical image fusion, this paper proposes a medical image fusion model based on residual network. The network mainly consists of an encoder, fuser and decoder. A feature extraction module MSDN consisting of residual attention mechanism and dense blocks is designed in the encoder for extracting multi-scale deep features of the source image. A learnable fusion network is used in the fuser to replace the manually designed fusion rules, eliminating the adverse effects of manually designed fusion strategies on the fusion effect. The decoder obtains the fused image by layer-by-layer decoding and up-sampling. We use a two-stage training strategy to train the fusion model;in the first stage, the image reconstruction task is used to drive the training of the encoder-decoder;in the second stage, the trained encoder-decoder is fixed, and the residual fusion network is trained using an appropriate loss function. The experimental results show that the subjective visual effect of the fused image contains rich texture details and color information, and the comprehensive performance of the objective evaluation index is better than that of the comparison algorithm. © 2024 SPIE. All rights reserved.

关键词： Textures

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visualization of Joint Spatio-temporal Models via Feature Recognition with an Application to Wildland Fires 16

Visualization of Joint Spatio-temporal Models via Feature Re...

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16th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 12th international conference on Information visualization Theory and Applications (IVAPP)

作者： Becker, Devan G. Woolford, Douglas G. Dean, Charmaine B. Univ Western Ontario Stat & Actuarial Sci London ON Canada Waterloo Univ Stat & Actuarial Sci Waterloo ON Canada

ISBN: (纸本)9789897584886

Many spatial statistics applications result in a collection of spatial estimates, especially if a different (but possibly correlated) estimate is produced for a sequence of time epochs. For a small collection of epochs, the connections or trends between estimates and the prominent or common features can be found via inspection of the spatial estimates. As the number of spatial estimates grows, this task becomes much more difficult. We present a method of summarizing a sequence of estimates using an image recognition technique called Non-Negative Matrix Factorization which results in a meaningful decomposition of the source images into basis functions and coefficients. This visualization technique allows for investigation of trends over time as well as common spatial features of the estimates without needing to fit a temporal model or use pre-specified spatial regions. We apply this technique to a sequence of models that jointly model the spatial location of wildland fires with the total burn area of each of the fires. We discuss the extensions of the visualization technique to the joint modelling framework and are able to draw new insights about the connection between the location and size of the fires.

关键词： Image Recognition Non-negative Matrix Factorization Log-Gaussian Cox Processes Dimension Reduction

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USING REORDERABLE HEATMAPS AS A SUPPORT FOR DATA ASSIMILATION IN PETROLEUM RESERVOIR MANAGEMENT AND DEVELOPMENT PROCESSES 16

USING REORDERABLE HEATMAPS AS A SUPPORT FOR DATA ASSIMILATIO...

引用

16th international conference on computer graphics, visualization, computer Vision and Image Processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on Theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on computer Science and Information Systems, MCCSIS 2022

作者： Turato, Gabriel Paulo de Oliveira, João Gabriel Nogueira Duarte Santos, Antonio Alberto S. Schiozer, Denis José da Silva, Celmar Guimarães School of Technology University of Campinas São Paulo Limeira Brazil Center for Petroleum Studies University of Campinas São Paulo Campinas Brazil School of Mechanical Engineering University of Campinas São Paulo Campinas Brazil

ISBN: (纸本)9789898704429

Petroleum exploration activities demand the creation of lots of models to represent the uncertainties of a given reservoir, aiming to guide decision-making regarding exploration strategies. As part of these activities, a data assimilation process may refine the model set and discard models that do not honor the history data of the reservoir, given an error tolerance level. Reservoir engineers may use visualizations to analyze the partial results of iterative data assimilation processes and make decisions such as accepting the models selected in an iteration or refining the model set. Among a set of available visualizations for this process, we did not find in the literature the use of interactive heatmaps based on reorderable matrices. In this paper, we propose to add this kind of visualization to the analysis toolset for data assimilation, aiming to help engineers to better overview data assimilation datasets and how their models honor the history data of a reservoir. The proposed visual mappings use a set of heatmaps that enable the engineers to analyze a misfit measure (NQDS) for a given iteration, regarding models, wells, and their dynamic attributes. Users may reorder and filter these heatmaps according to their needs. We implemented our proposal in a web-based prototype that was submitted to a preliminary evaluation with real users in a synthetic scenario. This evaluation revealed positive opinions about the potential of the tool, which may be used to complement other approaches, and provided some opportunities for improvement. © MCCSIS *** rights reserved.

关键词： visualization

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Exploration of Multi-modal Translation Resource Processing Modes under computer graphics: A Case Study of Visionbank 25

Exploration of Multi-modal Translation Resource Processing M...

引用

Proceedings of the 2025 2nd international conference on Generative Artificial Intelligence and Information Security

作者： Xintao Xu School of Foreign Languages Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9798400713453

The rapid development of computer technology has brought computer graphics a qualitative leap in graphic images and visual communication. computer graphics transforms digital information into image information while conducting digital processing and visualization of graphic images. Combining with the development process of computer graphics, this paper considers the application field of computer graphics, discusses the connotation deduction of multi-modal translation resource. Through case analysis of the Visionbank, this paper validates and advances computer graphics technology to optimize multi-modal translation resource, and realizes the comprehensive utilization of multi-modal translation resource.

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Research on 3D structure information extraction and visualization technology of ocean mesoscale eddies 4

Research on 3D structure information extraction and visualiz...

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4th international conference on Geology, Mapping, and Remote Sensing, ICGMRS 2023

作者： Song, Enhui Meng, Fanchao Lv, Chongjing Jiang, Xiaoyi Lu, Wenhu Cao, Lei Technology Innovation Center of Marine Information MNR Tianjin300171 China National Marine Data and Information Service Tianjin300171 China

ISBN: (纸本)9781510672741

As a widespread mesoscale phenomenon in the ocean, the study of mesoscale eddies has received much attention and focus. Scientists have been using data sources such as real measurements, satellite remote sensing data, and reanalysis/numerical prediction products to automatically identify and synthesize the 3D structure of mesoscale eddies locally, but at present, the 3D structure of mesoscale eddies is mostly portrayed in the form of 2D flat expressions such as static images, which has certain limitations for the expression of mesoscale eddies with multi-dimensional and dynamic characteristics, and fails to show the complete 3D structure of mesoscale eddies. The three-dimensional structure of the mesoscale vortex is not shown. In this paper, based on the flow field vector geometry feature vortex identification algorithm, with the help of Unreal Engine 4 (UE4) 3D engine and particle system technology, we developed a 3D structure information extraction and visualization algorithm for mesoscale eddies, and constructed a 3D dynamic display and analysis model, which breaks through the traditional 2D display form of mesoscale eddies and realizes the 3D dynamic visual representation and analysis of ocean mesoscale eddies. It provides a dynamic, intuitive and convenient means to study the 3D structural characteristics of mesoscale eddies, and also provides an effective support to investigate the dynamic changes of mesoscale eddies and their interactions with other ocean processes. © 2024 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Three dimensional computer graphics

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computer Geometric Modeling Course for Construction Students 6

Computer Geometric Modeling Course for Construction Students

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6th international conference on Information Technologies in Engineering Education, Inforino 2022

作者： Kheifetc Kheyfets, Alexander L. South Ural State University Department of Engineering and Computer Graphics Chelyabinsk Russia

ISBN: (纸本)9781665405775

The content of a special computer-graphic course for training construction major students of the SUSU elite group is presented. The topics of lectures and the content of control and graphic tasks are given. The tasks provide for the construction of original models of architectural objects. There is also a task for visualization of surfaces specified by an analytical expression, with programming elements in the AutoLisp language. One of the tasks involves the construction of animation using AutoCAD. All the constructions are performed as photorealistic ones (light, shadows, materials and perspective). Conclusions are made about the positive experience of teaching the course, and about the development of students' creative abilities. This course is focused on 3D modeling in the AutoCAD package. © 2022 IEEE.

关键词： Training Geometry visualization Three-dimensional displays Computational modeling Geometric modeling Task analysis

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Investigation of Novel Muon imaging System in Cardiovascular Operations: A Simulation Approach 14

Investigation of Novel Muon Imaging System in Cardiovascular...

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14th international conference on Information, Intelligence, Systems and Applications, IISA 2023

作者： Gharibshahi, Elham Miserlis, Dimitrios Alamaniotis, Miltiadis University of Texas at San Antonio Dept. of Electrical & Computer Engineering San AntonioTX United States Univ. of Texas Austin Dell Medical School Dept. of Surgery Vascular Surgery AustinTX United States

ISBN: (纸本)9798350318067

Cardiovascular operations are timely and radiation intensive for the surgeons and patients, especially in endovascular operations. One of the technical difficulties is that modern surgical technologies require visualization of the deeper tissues in the body and the ability to define implants and other anatomical structures of interest. Currently, the prevailing technologies utilize radiation-based imaging that are efficient but come at the tradeoff of large amounts of radiation exposure cumulatively dangerous for health. This paper investigates the use of an alternative imaging technique based on cosmic radiation and more specifically on muons. Muon are non-ionizing particles and therefore share no risk for patients and surgeons. The work presented here encompasses a set of novel simulations obtained with the Geant4 software of muon interactions with materials used in cardiovascular operations. Simulation results are promising and indicate the high potency of muons being used for patient imaging in the cardiovascular domain. © 2023 IEEE.

关键词： Surgery

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