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arXiv 2023年

作者： Fekete, Sándor P. Keldenich, Phillip Krupke, Dominik Schirra, Stefan Department of Computer Science TU Braunschweig Germany Department for Simulation and Graphics OvGU Magdeburg Germany

We give an overview of the 2023 Computational Geometry Challenge targeting the problem Minimum Coverage by Convex Polygons, which consists of covering a given polygonal region (possibly with holes) by a minimum number of convex subsets, a problem with a long-standing tradition in Computational Geometry. Copyright © 2023, The Authors. All rights reserved.

关键词： Computational geometry

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Automatic Animations to Analyze Blood Flow Data

Automatic Animations to Analyze Blood Flow Data

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2021 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2021

作者： Apilla, V. Behrendt, B. Lawonn, K. Preim, B. Meuschke, M. Department of Simulation and Graphics University of Magdeburg Germany Institute of Computer Science University of Jena Germany

ISBN: (纸本)9783038681403

We present an approach for computing camera animations composed of optimal views to support the visual exploration of blood flow data using cerebral aneurysms as major example. Medical researchers are interested in hemodynamic parameters and vessel wall characteristics. The time-dependent character of blood flow data complicates the visual analysis. Our approach is modeled as an optimization problem to automatically determine camera paths during the cardiac cycle. These consist of optimal viewpoints showing regions with suspicious characteristics of wall- and flow-related parameters. This provides medical researchers with an efficient method of obtaining a fast overview of patient-specific blood flow data. © 2021 The Author(s) Eurographics Proceedings © 2021 The Eurographics Association.

关键词： Cameras

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Robust reconstruction of curved line structures in noisy point clouds

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Visual Informatics 2021年第3期5卷 1-14页

作者： Marcel Ritter Daniel Schiffner Matthias Harders Interactive Graphics and Simulation Group Department of Computer ScienceUniversity of InnsbruckAustria Airborne Hydromapping GmbH InnsbruckAustria DIPF|Leibniz Institute for Research and Information Education FrankfurtGermany

Point-based geometry representations have become widely used in numerous contexts,ranging from particle-based simulations,over stereo image matching,to depth sensing via light detection and *** application focus is on the reconstruction of curved line structures in noisy 3D point cloud *** algorithms operating on such point clouds often rely on the notion of a local *** the latter,our approach employs multi-scale neighborhoods,for which weighted covariance measures of local points are *** line structures are reconstructed via vector field tracing,using a bidirectional piecewise streamline *** also introduce an automatic selection of optimal starting points via multi-scale geometric *** pipeline development and choice of parameters was driven by an extensive,automated initial analysis process on over a million prototype test *** behavior of our approach is controlled by several parameters—the majority being set automatically,leaving only three to be controlled by a *** an extensive,automated final evaluation,we cover over one hundred thousand parameter sets,including 3D test geometries with varying curvature,sharp corners,intersections,data holes,and systematically applied varying types of ***,we analyzed different choices for the point of reference in the co-variance computation;using a weighted mean performed best in most *** addition,we compared our method to current,publicly available line reconstruction *** to thirty times faster execution times were achieved in some cases,at comparable error ***,we also demonstrate an exemplary application on four real-world 3D light detection and ranging datasets,extracting power line cables.

关键词： Computational geometry Noisy point clouds Line reconstruction Automatic Adaptive control

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Minimum Partition into Plane Subgraphs: The CG:SHOP Challenge 2022

arXiv

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arXiv 2022年

作者： Fekete, Sándor P. Keldenich, Phillip Krupke, Dominik Schirra, Stefan Department of Computer Science TU Braunschweig Germany Department for Simulation and Graphics OvGU Magdeburg Germany

We give an overview of the 2022 Computational Geometry Challenge targeting the problem Minimum Partition into Plane Subsets, which consists of partitioning a given set of line segments into a minimum number of non-cro... 详细信息

关键词： Computational geometry

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Facial Feature Removal for Anonymization of Neurological Image Data

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Current Directions in Biomedical Engineering 2021年第1期7卷 130-134页

作者： Gießler, Fina Reithmann, Max Preim, Bernhard Behme, Daniel Saalfeld, Sylvia Department for Simulation and Graphics Otto-von-Guericke University Magdeburg Germany Department of Neuroradiology University Hospital of Magdeburg Germany Faculty of Computer Science and Research Campus STIMULATE Otto-von-Guericke University Magdeburg Germany

Interdisciplinary exchange of medical datasets between clinicians and engineers is essential for clinical research. Due to the Data Protection Act, which preserves the rights of patients, full anonymization is necessary before any exchange can take place. Due to the continuous improvement of image quality of tomographic datasets, anonymization of patient-specific information is not sufficient. In this work, we present a prototype that allows to reliably obscure the facial features of patient data, thus enabling anonymization of neurological datasets in image space. © 2021 by Walter de Gruyter Berlin/Boston.

关键词： Clinical research

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COMFIS - Comparative Visualization of Simulated Medical Flow Data

COMFIS - Comparative Visualization of Simulated Medical Flow...

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2022 Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2022

作者： Meuschke, M. Voß, S. Eulzer, P. Janiga, G. Arens, C. Wickenhöfer, R. Preim, B. Lawonn, K. Department of Simulation and Graphics University of Magdeburg Germany Institute of Fluid Mechanics and Thermodynamics University of Magdeburg Germany Institute of Computer Science University of Jena Germany Department of Otorhinolaryngology University Hospital Gießen Germany Herz-Jesu Krankenhaus Dernbach Germany

ISBN: (纸本)9783038681779

simulations of human blood and airflow are playing an increasing role in personalized medicine. Comparing flow data of different treatment scenarios or before and after an intervention is important to assess treatment options and success. However, existing visualization tools are either designed for the evaluation of a single data set or limit the comparison to a few partial aspects such as scalar fields defined on the vessel wall or internal flow patterns. Therefore, we present COMFIS, a system for the comparative visual analysis of two simulated medical flow data sets, e.g. before and after an intervention. We combine various visualization and interaction methods for comparing different aspects of the underlying, often time-dependent data. These include comparative views of different scalar fields defined on the vessel/mucous wall, comparative depictions of the underlying volume data, and comparisons of flow patterns. We evaluated COMFIS with CFD engineers and medical experts, who were able to efficiently find interesting data insights that help to assess treatment options. © 2022 The Author(s) © 2022 The Eurographics Association.

关键词： Flow patterns

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Comparing Surface Visualization Techniques for Communicating Medical Growth and Shrinkage

SSRN

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SSRN 2024年

作者： Mittenentzwei, Sarah Mlitzke, Sophie Grisanova, Darija Lawonn, Kai Preim, Bernhard Meuschke, Monique Department of Simulation and Graphics University of Magdeburg Universitätsplatz 2 Magdeburg39106 Germany Faculty of Mathematics and Computer Science University of Jena Ernst-Abbe-Platz 2 Jena07743 Germany

In this paper, we investigate the suitability of different visual representations of pathological growth and shrinkage using surface models of intracranial aneurysms and liver tumors. By presenting complex medical information in a visually accessible manner, audiences can better understand and comprehend the progression of pathological structures. Previous work in medical visualization provides an extensive design space for visualizing medical image data. However, determining which visualization techniques are appropriate for a general audience has not been thoroughly *** conducted a user study (n = 40) to evaluate different visual representations in terms of their suitability for solving tasks and their aesthetics. We created surface models representing the evolution of pathological structures over multiple discrete time steps and visualized them using illumination-based and illustrative *** results indicate that users' aesthetic preferences largely coincide with their preferred visualization technique for task-solving purposes. In general, the illumination-based technique has been preferred to the illustrative technique, but the letter offers great potential for increasing the accessibility of visualizations to users with color vision deficiencies. © 2024, The Authors. All rights reserved.

关键词： Shrinkage

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Embryonic heart development as an immersive experience: Unveiling learning effects and influential factors in virtual learning environments

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computers in Biology and Medicine 2025年 187卷 109638-109638页

作者： Kunz, Matthias Schott, Danny Wunderling, Tom Halloul, Martin Hansen, Christian Albrecht, Anne Braun-Dullaeus, Rüdiger C. Otto von Guericke University Medical Faculty Department of Internal Medicine/Cardiology and Angiology Magdeburg Germany Otto von Guericke University Faculty of Computer Science Department of Simulation and Graphics Magdeburg Germany Otto von Guericke University Medical Faculty Institute of Anatomy Magdeburg Germany

As the quality and availability of Virtual Reality (VR) technologies improve, their potential applications in medical education, particularly VR Learning Environments (VRLEs), are increasingly explored. VRLEs offer a dynamic platform where educators and students can interact, access materials, and engage in learning beyond traditional classrooms. However, questions remain about their long-term learning effects and potential confounding factors. This study investigates these aspects through a VR application designed for teaching heart embryology. For this reason we conducted a user study with medical students in their early years of training (N = 143). Our findings reveal significant short-term and sustained learning outcomes two to four weeks following a single VR session. Importantly, these outcomes appear largely independent of users’ technical affinity and are minimally influenced by their immersion tendencies. Instead, the quality of the VRLE and its user experience emerge as critical factors. These results underscore the efficacy of well-designed VRLEs in higher education and highlight key areas for future development. © 2025 The Authors

关键词： Virtual environments

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Automatic Cutting and Flattening of Carotid Artery Geometries

Automatic Cutting and Flattening of Carotid Artery Geometrie...

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2021 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2021

作者： Eulzer, P. Richter, K. Meuschke, M. Hundertmark, A. Lawonn, K. University of Jena Faculty of Mathematics and Computer Science Germany University of Koblenz-Landau Institute for Mathematics Germany University of Magdeburg Department of Simulation and Graphics Germany

ISBN: (纸本)9783038681403

We propose a novel method to cut and flatten vascular geometry that results in an intuitive mapping between the 3D and 2D domains. Our approach is fully automatic, and the sole input is the vessel geometry. We aim to simplify parameter analysis on vessel walls for research on vascular disease and computational hemodynamics. We present a use case for the flattening to aid efforts in investigating the pathophysiology of carotid stenoses (vessel constrictions that are a root cause of stroke). To achieve an intuitive mapping, we introduce the notion of natural vessel cuts. They remain on one side of vessel branches, meaning they adhere to the longitudinal direction and thus result in a comprehensible unfolding of the geometry. Vessel branches and endpoints are automatically detected, and a 2D layout configuration is found that retains the original branch layout. We employ a quasi-isometric surface parameterization to map the geometry to the 2D domain as a single patch. The flattened depiction resolves the need for tedious 3D interaction as the whole surface is visible at once. We found this overview particularly beneficial for exploring temporally resolved parameters. © 2021 The Author(s) Eurographics Proceedings © 2021 The Eurographics Association.

关键词： Geometry

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Multilabel segmentation and analysis of skeletal muscle and adipose tissue in routine abdominal CT scans

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computers in Biology and Medicine 2025年 186卷 109622-109622页

作者： Kreher, Robert Hille, Georg Preim, Bernhard Hinnerichs, Mattes Borggrefe, Jan Surov, Alexey Saalfeld, Sylvia Department of Simulation and Graphics Faculty of Computer Science University of Magdeburg Universitätsplatz 2 Magdeburg39106 Germany Department of Radiology and Nuclear Medicine University Hospital Magdeburg Germany Department of Radiology Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital Minden Germany Department of Computational Medicine Ilmenau University of Technology Germany

Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and additionally improves the segmentation of the intermuscular fat. Method: Based on a self-created data set of 130 patients, an extended Unet structure was trained and evaluated with the help of Dice score, IoU and Pixel Accuracy. In addition, the interobserver variability for the decision between ground truth and post-processed segmentation was calculated to illustrate the relevance in everyday clinical practice. Results: On average, the presented approach achieved 91.0±0.065% DSC for the muscle tissues and 88.9±0.062% DSC for the adipose tissues. It was shown that by post-processing the intermuscular fat tissue, physicians prefer the result of the algorithm presented in the paper to their segmentation by 91.51%. Conclusion: The algorithm provided more precise segmentations of muscles and adipose tissue, demonstrating high-quality performance in segmenting muscle tissue. In qualitative evaluations, physicians preferred the algorithm's segmentation over expert segmentations, with the preference quantified as 91.51%. This indicates that, based on their assessment, the algorithm's results were significantly favored. This qualitative feedback supports the algorithm's use in subsequent analyses of patient fitness, leveraging the detailed information it provides. © 2025 The Authors

关键词： Muscle

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