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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Markus Perz Gijs Luijten Jens Kleesiek Dieter Schmalstieg Jan Egger Christina Gsaxner Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Institute for Artificial Intelligence in Medicine University Medicine Essen Essen Germany Cancer Research Center Cologne Essen West German Cancer Center Essen Germany Institute for Visualization and Interactive Systems University of Stuttgart Stuttgart Germany Virtual and Extended Reality in Medicine (ZvRM) University Hospital Essen Essen Germany

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

This paper addresses the growing integration of Augmented Reality (AR) in biomedical sciences, emphasizing collaborative learning experiences. We present MultiAR, a versatile, domain-specific platform enabling multi-user interactions in AR for biomedical education. Unlike platform-specific solutions, MultiAR supports various AR devices, including handheld and head-mounted options. The framework extends across domains, augmenting biomedical education applications with collaborative capabilities. We define essential requirements for a multi-user AR framework in education, detail MultiAR’s design and implementation, and comprehensively evaluate it using anatomy education examples. Quantitative and qualitative analyses, covering system performance, accuracy metrics, and a user study with 20 participants, highlight the urgent need for a tailored collaborative AR platform in biomedical education. Results underscore enthusiasm for collaborative AR technology, endorsing MultiAR as an accessible, versatile solution for developers and end-users in biomedical education.

关键词： Measurement Accuracy Federated learning System performance Education Collaboration Anatomy Engineering in medicine and biology Augmented reality

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visualization in connectomics

Mathematics and Visualization

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Mathematics and visualization 2014年 37卷 221-245页

作者： Pfister, Hanspeter Kaynig, Verena Botha, Charl P. Bruckner, Stefan Dercksen, Vincent J. Hege, Hans-Christian Roerdink, Jos B.T.M. School of Engineering and Applied Sciences Harvard University 33 Oxford St CambridgeMA02138 United States Vxlabs Somerset West South Africa Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11/E186 Wien1040 Austria Department of Visualization and Data Analysis Zuse Institute Berlin Takustraße 7 Berlin14195 Germany Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen P.O. Box 407 AK Groningen9700 Netherlands

Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a completemap of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivity information from image data at macro-, meso- and *** also discuss data integration and neural network modeling, as well as the visualization, analysis and comparison of brain networks. © 2014, Springer-Verlag London.

关键词： visualization

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PREVIS-A combined machine learning and visual interpolation approach for interactive reverse engineering in assembly quality control

arXiv

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arXiv 2022年

作者： Ruediger, Patrick Claus, Felix Leonhardt, Viktor Hagen, Hans Aurich, Jan C. Garth, Christoph Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Computer Graphics & HCI Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Scientific Visualization Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany

We present PREVIS, a visual analytics tool, enhancing machine learning performance analysis in engineering applications. The presented toolchain allows for a direct comparison of regression models. In addition, we provide a methodology to visualize the impact of regression errors on the underlying field of interest in the original domain, the part geometry, via exploiting standard interpolation methods. Further, we allow a real-time preview of user-driven parameter changes in the displacement field via visual interpolation. This allows for fast and accountable online change management. We demonstrate the effectiveness with an ex-ante optimization of an automotive engine hood. © 2022, CC BY.

关键词： Quality control

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Remote computing environment compensating for brain shift

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computer Aided Surgery 2003年第4期8卷 169-179页

作者： Hastreiter, Peter Engel, Klaus Soza, Grzegorz Wolf, Matthias Ganslandt, Oliver Fahlbusch, Rudolf Greiner, Gnther Ximsky, Christopher Department of Neurosurgery Neurocenter Friedrich Alexander University of Erlangen-Nuremberg D-91054 Erlangen Schwabachanlage 6. Germany Computer Graphics Group University of Erlangen-Nuremberg Erlangen Germany Visualization and Interactive Systems Group University of Stuttgart Erlangen Germany Knowledge Processing Group Bavarian Research Center for Knowledge-Based Systems Erlangen Germany

Objective: Anatomical and functional image data become invalid during an operation due to brain shift. Compensation is achieved by using intraoperative imaging to update anatomical information. To accelerate the registration and visualization of pre- and intraoperative image data, the presented work focuses on remote computing capabilities. The underlying framework efficiently combines local desktop computers and remote high-end graphics workstations exploiting expensive hardware. Methods: By performing all computations on the remote computer, the MR volumes are rigidly aligned via voxel-based registration. Using graphics hardware for acceleration, all interpolation operations are performed with 3D texture-mapping hardware. A new approach then transforms functional markers from preoperative measurements to the intraoperative situation using an automatic tracking algorithm to identify corresponding sulci. Communicating Java viewers are suggested for analyzing the results interactively on a local computer, with all calculations being performed exclusively on the remote computer. Results: The suggested approach was successfully applied in S cases using MR data containing functional markers of MEG and fMRI measurements identifying eloquent brain areas. Remote large-scale graphics hardware was thereby efficiently made available for fast registration and interactive direct volume rendering in neurosurgery. Conclusion: Overall, the presented framework demonstrates efficient access of expensive high- end hardware remotely controlled by thin clients, and further emphasizes the need to compensate for brain shift in functional neuronavigation. © 2003 Informa UK Ltd All rights reserved.

关键词： 3D visualization brain shift registration remote computing

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Preface

Mathematics and Visualization

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Mathematics and visualization 2006年 V-VIII页

作者： Weickert, Joachim Hagen, Hans Faculty of Mathematics and Computer Science Saarland University Building 27 Saarbrücken66041 Germany Computer Graphics and Visualization Group Technical University of Kaiserslautern PO Box 3049 Kaiserslautern67653 Germany

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Rhinosurgical therapy planning via endonasal airflow simulation†

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computer Aided Surgery 2000年第3期5卷

作者： Uli Bockholt Dipl.-Math. Gunter Mlynski M.D. Wolfgang Müller Dipl.-Inf. Gerrit Voss Dipl.-Inf. Darmstadt University of Technology Interactive Graphics Systems Group (GRIS) Darmstadt ENT-Clinic Ernst-Moritz-Arndt University Greifswald Greifswald and Fraunhofer Institute for Computer Graphics (Fraunhofer-IGD) Department of Visualization & Virtual Reality Darmstadt Germany

Nowadays, Computational Fluid Dynamics (CFD) methods play an important part in the production process of the automotive industry. Progress in recent years has made possible highly sophisticated airflow-simulation models that are used in engineering for optimization and verification of aerodynamics. The key purpose of the Simulation Tool for Airflow in the human Nose (STAN), developed at the Darmstadt University of Technology in cooperation with the University Hospital in Greifswald, is to use these techniques to support the rhinosurgeon in diagnosis and planning of therapy (Frühauf T, Mlynski G. Simulation and visualization of the air flow in the human nose. Proceedings of the First World Congress on Computational Medicine, Austin, Texas, 1994). A system has been developed that realizes a three-dimensional (3D) reconstruction of the endonasal cavities based on computer tomography (CT) scans. This semiautomatic reconstruction method requires minimal manual intervention. The surface model is used to create an unstructured 3D volume mesh suitable for finite volume simulations. In this way, an individual simulation based on patient-specific data can be realized. At the University Hospital in Greifswald, experimental investigations and measurements are made in nasal models to verify the simulation result. The goal of this project is to investigate individual nasal complaints and to detect respiratory disorders. The surgeon should be able to simulate the disordered respiration before performing a surgical procedure, and thereby increase the effectiveness of surgical planning. Comp Aid Surg 5:175–179 (2000). © 2000 Wiley-Liss, Inc.

关键词： biomechanical simulation computer-aided diagnosis computational biofluids rhinosurgery

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Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation

arXiv

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arXiv 2024年

作者： Mody, Prerak Chaves-De-Plaza, Nicolas F. Rao, Chinmay Astrenidou, Eleftheria de Ridder, Mischa Hoekstra, Nienke Hildebrandt, Klaus Staring, Marius Department of Radiology Leiden University Medical Center Leiden Netherlands HollandPTC consortium Erasmus Medical Center Rotterdam Holland Proton Therapy Centre Delft Leiden University Medical Center Leiden and TU Delft Delft Netherlands Computer Graphics and Visualization Group EEMCS TU Delft Delft Netherlands Department of Radiation Oncology Leiden University Medical Center Leiden Netherlands Department of Radiation Oncology University Medical Center Utrecht Netherlands

Increased usage of automated tools like deep learning in medical image segmentation has alleviated the bottleneck of manual contouring. This has shifted manual labour to quality assessment (QA) of automated contours which involves detecting errors and correcting them. A potential solution to semi-automated QA is to use deep Bayesian uncertainty to recommend potentially erroneous regions, thus reducing time spent on error detection. Previous work has investigated the correspondence between uncertainty and error, however, no work has been done on improving the "utility" of Bayesian uncertainty maps such that it is only present in inaccurate regions and not in the accurate ones. Our work trains the FlipOut model with the Accuracy-vs-Uncertainty (AvU) loss which promotes uncertainty to be present only in inaccurate regions. We apply this method on datasets of two radiotherapy body sites, c.f. head-and-neck CT and prostate MR scans. Uncertainty heatmaps (i.e. predictive entropy) are evaluated against voxel inaccuracies using Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curves. Numerical results show that when compared to the Bayesian baseline the proposed method successfully suppresses uncertainty for accurate voxels, with similar presence of uncertainty for inaccurate voxels. Code to reproduce experiments is available at https://***/prerakmody/bayesuncertainty-error-correspondence. © 2024, CC BY.

关键词： Image segmentation

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An Introduction to Verification of visualization Techniques

引用

2015年

作者： Tiago Etiene Robert M. Kirby Claudio T. Silva

ISBN: (数字)9781627058346

As we increase our reliance on computer-generated information, often using it as part of our decision-making process, we must devise tools to assess the correctness of that information. Consider, for example, software embedded on vehicles, used for simulating aircraft performance, or used in medical imaging. In those cases, software correctness is of paramount importance as there"s little room for error. Software verification is one of the tools available to attain such goals. Verification is a well known and widely studied subfield of computer science and computational science and the goal is to help us increase confidence in the software implementation by verifying that the software does what it is supposed to do. The goal of this book is to introduce the reader to software verification in the context of visualization. In the same way we became more dependent on commercial software, we have also increased our reliance on visualization software. The reason is simple: visualization is the lens through which users can understand complex data, and as such it must be verified. The explosion in our ability to amass data requires tools not only to store and analyze data, but also to visualize it. This book is comprised of six chapters. After an introduction to the goals of the book, we present a brief description of both worlds of visualization (Chapter 2) and verification (Chapter 3). We then proceed to illustrate the main steps of the verification pipeline for visualization algorithms. We focus on two classic volume visualization techniques, namely, Isosurface Extraction (Chapter 4) and Direct Volume Rendering (Chapter 5). We explain how to verify implementations of those techniques and report the latest results in the field of verification of visualization techniques. The last chapter concludes the book and highlights new research topics for the future.

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Impact of Implementing Game Elements in Gamifying Educational Environment: A Study

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Journal of Physics: Conference Series 2019年第1期1358卷

作者： F Durin R Lee A Bade C K On N Hamzah Mathematics Graphics and Visualization Research Group (M-GRAVS) Faculty of Science and Natural Resources Universiti Malaysia Sabah 88450 Kota Kinabalu Sabah Malaysia Mathematics and Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah Center of Excellence in Semantic Agents Universiti Malaysia Sabah Sabah Malaysia

Gamification is the use of game elements in a non-gaming environments. The aims of implementing game elements in gamifying educational environment is to make the learners engaged and motivated in the learning process. But, some of the research result giving bad impacts in implementing gamification in education. The objective of this research is to study the impact of implementing game elements in education. The aim of this research is to study which game elements is most commonly used in gamifying educational environment. The study is done by reviewing previous research on impacts of implementing game element in education from 2008 until 2018 to see whether the elements giving positive or negative impacts on education. The results shows the most common game elements used in gamification is rewards, feedback, challenge, quest/mission/goal, level/stage, point/score, avatars/players, task, character, time-limit, narrative/dialogue, leaderboards, progress bars, and badges. Majority of the research on gamification in education reports positive impacts by introducing gamification in education. In conclusion, by implementing game elements in the gamifying educational environment is a good method to create a good adjustment in learners' behavior and assertiveness in the learning process, it can develop engagement and motivation of the learners'.

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Real-time simulation of tissue deformation for the nasal endoscopy simulator (NES)

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computer Aided Surgery 1999年第5期4卷

作者： Uli Bockholt Dipl.-Math. Wolfgang Müller Dipl.-Inf. Gerrit Voss Dipl.-Inf. Ulrich Ecke M.D. Ludger Klimek M.D. Interactive Graphics Systems Group (GRIS) Darmstadt University of Technology Darmstadt Mainz University Hospital Mainz Germany Department of Visualization and Virtual Reality Fraunhofer Institute for Computer Graphics (Fraunhofer-IGD) Darmstadt Mainz University Hospital Mainz Germany Department of Otolaryngology Head and Neck Surgery Mainz University Hospital Mainz Germany

Endonasal sinus surgery requires a great amount of training before it can be adequately performed. The complicated anatomy involved, the proximity of relevant structures, and the variability of the anatomy due to inborn or iatrogenic variations make several complications possible. Today, cadaver dissections are the “gold standard” for surgical training. To overcome the drawbacks of traditional training methods, the Fraunhofer Institute for computer graphics is currently developing a highly interactive medical simulation system for nasal endoscopy and endonasal sinus surgery, in cooperation with the Mainz University Hospital. For the simulation of a rhinoscopic procedure, not only are the realization of the 3D interaction and the geometric representation of the anatomical structures necessary, but also a real-time simulation of the deformation behavior constrained by the instrument collisions. The challenge is to close the gap between a maximal degree of realism and the required real-time conditions. Comp Aid Surg 4:281–285 (1999). © 1999 Wiley-Liss, Inc.

关键词： surgical simulation skill training virtual reality soft tissue deformation rhinoscopic education

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