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Bildverarbeitung für die Medizin Workshop, BVM 2023

作者： Tummala, Pavan Hille, Georg Saalfeld, Sylvia Department of Simulation and Graphics Faculty of Computer Science University of Magdeburg Germany

ISBN: (纸本)9783658416560

Lung cancer represents one of the most common and lethal types of cancerous pathologies and lung nodules are an early indicator for pulmonary cancer. Hence, a precise and reliable segmentation of lung nodules could enhance early diagnosis and therapy and thus, increase patients’ survival rates. This work proposes a modified 3D-Res2Unet, combining an Unet-style neural network architecture with residual blocks and attention mechanisms. This network was tested on the publicly available LUNA16 CT dataset and achieved on average 91.27 ± 6.49 %. Therefore, the proposed method indicates state-of-the-art performance and could represent an important tool for early diagnosis of lung cancer. © 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature.

关键词： computerized tomography

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WEB-ANEULYSIS: A Web-based Application for the Analysis of Aneurysm Data

WEB-ANEULYSIS: A Web-based Application for the Analysis of A...

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Bildverarbeitung für die Medizin Workshop, BVM 2023

作者： Preßler, Rebecca Meuschke, Monique Voigt, Henrik Lawonn, Kai Institute of Computer Science University of Jena Germany Department of Simulation and Graphics University of Magdeburg Germany

ISBN: (纸本)9783658416560

The analysis and treatment of cerebral aneurysms are important in neuroradiology. To support physicians in these tasks a desktop application for the visual analysis of aneurysm data called Aneulysis was developed. Because desktop applications complicate collaborative data exploration by physicians working at different locations,we present Web-Aneulysis, aweb-based version of Aneulysis written with the *** library. Especially the collaborative treatment planning is supported by our application. Therefore, Web-Aneulysis provides features for calculating morphological descriptors, positioning landmarks on the vessel surface, and deploying medical implants inside the vessel. We used Web-Aneulysis for the treatment planning of different cerebral aneurysm data sets and performed a qualitative evaluation together with two neuroradiologists. © 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature.

关键词： Web services

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

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ACM Journal of Experimental Algorithmics 2023年第3期28卷 1-13页

作者： Fekete, Sándor P. Keldenich, Phillip Krupke, Dominik Schirra, Stefan Department of Computer Science TU Braunschweig Mühlenpfordtstr. 23 Braunschweig38106 Germany Department for Simulation and Graphics OVGU Magdeburg Universitätsplatz 2 Magdeburg39106 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 geometric optimization algorithm engineering graph coloring plane subgraphs intersection graphs CG:SHOP

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Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients

Visual Analytics to Support Treatment Decisions in Late-Stag...

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2023 Eurographics Workshop on Visual Computing for Biology and Medicine, EG VCBM 2023

作者： Pereira, C. Niemann, U. Braun, A. Mengoni, M. Tüting, T. Preim, B. Meuschke, M. Department of Simulation and Graphics University of Magdeburg Germany Department of Computer Science University of Magdeburg Germany University Dermatology Clinic University Hospital Magdeburg Germany

ISBN: (纸本)9783038682165

We present a visual analytics system to support treatment decisions in late-stage Melanoma patients. With the aim of improving patient outcomes, personalized treatment decisions based on individual characteristics and medical histories are crucial. The research focuses on the design and development of a visual analytics system tailored specifically for tumor boards, where multidisciplinary teams collaborate to make informed decisions. By leveraging a comprehensive database containing treatment and tumor stage progression information from over 1100 patients, the system provides healthcare professionals with a holistic overview and facilitates the analysis of individual cases as well as comparisons between multiple patients. The distinction between tumor board preparation systems and systems used during discussions is emphasized to ensure user-centric design and usability. Through the use of visual analytics techniques, complex relationships between treatment outcomes, temporal features, and patient-specific factors are explored, enabling clinicians to identify patterns and trends that may impact treatment decisions. The findings of this research contribute to the growing field of visual analytics in healthcare and have the potential to enhance treatment decision-making and patient care in late-stage cancer scenarios. © 2023 The Authors.

关键词： Tumors

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Scene Synthesis with Automated Generation of Textual Descriptions

Scene Synthesis with Automated Generation of Textual Descrip...

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43rd Annual Conference on European Association for computer graphics, EUROgraphics 2022

作者： Müller-Huschke, J. Ritter, M. Harders, M. Interactive Graphics and Simulation Group The Department of Computer Science University of Innsbruck Austria

ISBN: (纸本)9783038681694

Most current research on automatically captioning and describing scenes with spatial content focuses on images. We outline that generating descriptive text for a synthesized 3D scene can be achieved via a suitable intermediate representation employed in the synthesis algorithm. As an example, we synthesize scenes of medieval village settings, and generate their descriptions. Our system employs graph grammars, Markov Chain Monte Carlo optimization, and a natural language generation pipeline. Randomly placed objects are evaluated and optimized by a cost function capturing neighborhood relations, path layouts, and collisions. Further, in a pilot study we assess the performance of our framework by comparing the generated descriptions to others provided by human subjects. While the latter were often short and low-effort, the highest-rated ones clearly outperform our generated ones. Nevertheless, the average of all collected human descriptions was indeed rated by the study participants as being less accurate than the automated ones. © 2022 The Author(s).

关键词： Cost functions

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Minimum Non-Obtuse Triangulations: The CG:SHOP Challenge 2025

arXiv

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arXiv 2025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 2025 Computational Geometry Challenge targeting the problem Minimum Non-Obtuse Triangulation: Given a planar straight-line graph G in the plane, defined by a set of points in the plane (representing vertices) and a set of non-crossing line segments connecting them (representing edges);the objective is to find a feasible non-obtuse triangulation that uses a minimum number of Steiner points. If no triangulation without obtuse triangles is found, the secondary objective is to minimize the number of obtuse triangles in the *** Codes F.2.2 Copyright © 2025, The Authors. All rights reserved.

关键词： Mesh generation

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Virtual DSA Visualization of Simulated Blood Flow Data in Cerebral Aneurysms

Virtual DSA Visualization of Simulated Blood Flow Data in Ce...

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German Workshop on Medical Image Computing, 2022

作者： Preßler, Rebecca Lawonn, Kai Preim, Bernhard Meuschke, Monique Institute of Computer Science University of Jena Jena Germany Department of Simulation and Graphics University of Magdeburg Magdeburg Germany

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Maximum Polygon Packing: The CG:SHOP Challenge 2024

arXiv

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arXiv 2024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 2024 Computational Geometry Challenge targeting the problem Maximum Polygon Packing: Given a convex region P in the plane, and a collection of simple polygons Q1, . . ., Qn, each Qi with a respective value ci, find a subset S ⊆ {1, . . ., n} and a feasible packing within P of the polygons Qi (without rotation) for i ∈ S, maximizing Pi∈S ci. Geometric packing problems, such as this, present significant computational challenges and are of substantial practical importance. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational geometry

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Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology

Gamified Virtual Reality Training for Visuospatial Ability i...

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作者： Allgaier, Mareen Jered Härtel, Tim Zubel, Seraphine Thormann, Maximilian Behme, Daniel Preim, Bernhard Saalfeld, Sylvia Department of Simulation and Graphics Otto-von-Guericke-University Magdeburg Universitätsplatz 2 Magdeburg39106 Germany Department of Neuroradiology University Hospital Magdeburg Magdeburg39120 Germany Department of Computer Science and Automation Ilmenau University of Technology Ilmenau98693 Germany

During neuroradiological interventions such as treating intracranial aneurysms, neuroradiologists have to navigate a catheter in the 3D anatomy while watching a 2D projection of the vessels. To train this visuospatial ability, we present a virtual reality application where the user has to identify anatomically relevant positions on the Circle of Willis based on a 2D projection image. This image is generated based on a 3D model using a Fresnel shader. To increase motivation, which is an important aspect of training, we included several game elements. We qualitatively evaluated our application with two neuroradiologists. Although they rated our implementation of the task as difficult due to the small image section, both participants emphasized the importance of this training. Even small changes that have been suggested can adjust the difficulty, leading to an appropriate training that could be integrated into the curriculum. The results also indicate that the included game elements are motivating and that the application in general has a high usability. The proposed immersive virtual reality application provides training for visuospatial ability in a concrete medical context. Due to gamification, fun, and motivation are increased, which are two important factors of training affecting the frequency of use and outcome. © 2024 by Walter de Gruyter Berlin/Boston.

关键词： Virtual environments

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AI-based character generation for disease stories: a case study using epidemiological data to highlight preventable risk factors

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i-com 2025年第1期24卷 259-281页

作者： Mittenentzwei, Sarah Garrison, Laura A. Budich, Beatrice Lawonn, Kai Dockhorn, Alexander Preim, Bernhard Meuschke, Monique Department of Simulation and Graphics Otto-von-Guericke University of Magdeburg Universitätsplatz 2 Magdeburg39106 Germany Department of Informatics University of Bergen Thormøhlens Gate 55 Bergen5020 Norway Faculty of Mathematics and Computer Science University of Jena Ernst-Abbe-Platz 2 Jena07743 Germany Institute of Information Processing Leibniz University Hannover Welfengarten 1 Hannover30167 Germany

Data-driven storytelling has grown significantly, becoming prevalent in various fields, including healthcare. In medical narratives, characters are crucial for engaging audiences, making complex medical information accessible, and potentially influencing positive behavioral and lifestyle changes. However, designing characters that are both educational and relatable to effectively engage audiences is challenging. We propose a GenAI-assisted pipeline for character design in data-driven medical stories, utilizing Stable Diffusion, a deep learning text-to-image model, to transform data into visual character representations. This approach reduces the time and artistic skills required to create characters that reflect the underlying data. As a proof-of-concept, we generated and evaluated two characters in a crowd-sourced case study, assessing their authenticity to the underlying data and consistency over time. In a qualitative evaluation with four experts with knowledge in design and health communication, the characters were discussed regarding their quality and refinement opportunities. The characters effectively conveyed various aspects of the data, such as emotions, age, and body weight. However, generating multiple consistent images of the same character proved to be a significant challenge. This underscores a key issue in using generative AI for character creation: the limited control designers have over the output. © 2025 the author(s), published by De Gruyter, Berlin/Boston.

关键词： data-storytelling GenAI medicine healthcare character generation

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