Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

Erschienen bei: universi - Universitätsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt: Track 1: Produktion & Cyber-Physische Systeme Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs Track 2: Logistic Analytics An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model Modeling Delay Propagation and Transmission in Railway Networks What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards? Robust Route Planning in Intermodal Urban Traffic Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design) Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars Entwicklung einer Definition für Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen Designing a Reference Model for Digital Product Configurators Terminology for Evolving Design Artifacts Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management) eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education Conceptualizing Immersion for Individual Learning in Virtual Reality Designing a Flipped Classroom Course – a Process Model The Influence of Risk-Taking on Knowledge Exchange and Combination Gamified Feedback durch Avatare im Mobile Learning Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks Track 5: Data Science & Business Analytics Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness Applied image recognition: guidelines for using deep learning models in practice Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics Leveraging Unstructured Image Data for Product Quality Improvement Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest Knowledge Discovery from CVs: A Topic Modeling Procedure Online Product Descriptions – Boost for your Sales? Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern A Semi-Automated Approach for Generating Online Review Templates Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung Track 6: Digitale Transformation und Dienstleistungen Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey Taxonomy of Digital Platforms: A Platform Architecture Perspective Value of Star Players in the Digital Age Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field Less Complex than Expected – What Really Drives IT Consulting Value Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things A Taxonomy of Barriers to Digital Transformation Ambidexterity in Service Innovation Research: A Systematic Literature Review Design and success factors of an online solution for cross-pillar pension information Track 7: IT-Management und -Strategie A Frugal Support Structure for New Software Implementations in SMEs How to Structure a Company-wide Adoption of Big Data Analytics The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age Bewertung des Kundennutzens von Chatbots für den Einsatz im Servicedesk Understanding the Benefits of Agile Software Development in Regulated Environments Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations Platform Openness: A Systematic Literature Review and Avenues for Future Research Competence, Fashion and the Case of Blockchain The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity Track 8: eHealth & alternde Gesellschaft Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches Patientenintegration durch Pfadsysteme Digitalisierung in der Stressprävention – eine qualitative Interviewstudie zu Nutzenpotenzialen User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective Intent and the Use of Wearables in the Workplace – A Model Development Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review Understanding the Habitual Use of Wearable Activity Trackers On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings Track 9: Krisen- und Kontinuitätsmanagement Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment Track 10: Human-Computer Interaction Towards a Taxonomy of Platforms for Conversational Agent Design Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren Designing Dynamic Decision Support for Electronic Requirements Negotiations Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods Track 11: Information Security and Information Privacy Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data Justification of Mass Surveillance: A Quantitative Study An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms Track 12: Umweltinformatik und nachhaltiges Wirtschaften Kommunikationsfäden im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt Potentiale und Herausforderungen der Materialflusskostenrechnung Computing Incentives for User-Based Relocation in Carsharing Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District Substitution of hazardous chemical substances using Deep Learning and t-SNE A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment A Survey of Smart Energy Services for Private Households Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy Digitale Rückverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones Towards Predictive Energy Management in Information Systems: A Research Proposal A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology Track 13: Digital Work - Social, mobile, smart On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work The Potential of Augmented Reality for Improving Occupational First Aid Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI A Case Study on Cross-Hierarchical Communication in Digital Work Environments ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp The Effect of Marker-less Augmented Reality on Task and Learning Performance Antecedents for Cyberloafing – A Literature Review Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project Track 14: Geschäftsmodelle und digitales Unternehmertum Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies Special Track 1: Student Track Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail From Facets to a Universal Definition – An Analysis of IoT Usage in Retail Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter Application of Process Mining Techniques to Support Maintenance-Related Objectives How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance? Improving Business Model Configuration through a Question-based Approach The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning Evaluation von ITSM-Tools für Integration und Management von Cloud-Diensten am Beispiel von ServiceNow How Software Promotes the Integration of Sustainability in Business Process Management Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry Special Track 3: Demos & Prototyping Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype Application-oriented robotics in nursing homes Augmented Reality for Set-up Processe Mixed Reality for supporting Remote-Meetings Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities TUCANA: A platform for using local processing power of edge devices for building data-driven services Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation für ältere Nutzerinnen und Nutzer A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach Exergames & Dementia: An interactive System for People with Dementia and their Care-Network Workshops Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19) Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research Die Mitarbeiter von morgen - Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati

Volumenvisualisierungstechniken für medizinische Anwendungen

Direct volume visualization has been established as a common visualization technique for tomographic volume datasets in many medical application fields. In particular, the introduction of volume visualization techniques that exploit the computing power of modern graphics hardware has expanded the application capabilities enormously. However, the employment of programmable graphics processing units (GPUs) usually requires an individual adaption of the algorithms for each different medical visualization task. Thus, only few sophisticated volume visualization algorithms have yet found the way into daily medical practice. In this thesis several new techniques for medical volume visualization are presented that aid to bridge this gap between volume visualization and medical applications. Thereby, the problem of medical volume visualization is addressed on three different levels of abstraction, which build upon each other. On the lowest level a flexible framework for the simultaneous rendering of multiple volume datasets is introduced. This is needed when multiple volumes, which may be acquired with different imaging modalities or at different points in time, should be combined into a single image. Therefore, a render graph was developed that allows the definition of complex visualization rules for arbitrary multi-volume scenes. From this graph GPU programs for optimized rendering are generated automatically. The second level comprises interactive volume visualization applications for different medical tasks. Several tools and techniques are presented that demonstrate the flexibility of the multi-volume rendering framework. Specifically, a visualization tool was developed that permits the direct configuration of the render graph via a graphical user interface. Another application focuses on the simultaneous visualization of functional and anatomical brain images, as they are acquired in studies for cognitive neuroscience. Moreover, an algorithm for direct volume deformation is presented, which can be applied for surgical simulation. On the third level the automation of visualization processes is considered. This can be applied for standard visualization taks to support medical doctors in their daily work. First, 3D object movies are proposed for the representation of automatically generated visualizations. These allow intuitive navigation along precomputed views of an object. Then, a visualization service is presented that delegates the costly computation of video sequences and object movies of a volume dataset to a GPU-cluster. In conclusion, a processing model for the development of medical volume visualization solutions is proposed. Beginning from the initial request for the application of volume-visualization techniques for a certain medical task, this covers the whole life cycle of such a solution from a prototype to an automated service. Thereby, it is shown how the techniques that where developed for this thesis support the generation of the visualization solutions on the different stages.Die direkte Volumenvisualisierung hat sich in vielen medizinischen Anwendungsgebieten als allgemeine Visualisierungstechnik für tomographische Volumendatensätze etabliert. Insbesondere die Einführung von Volumenvisualisierungstechniken, die die Rechenleistung moderner Graphikhardware ausnutzen, hat die Anwendungsmöglichkeiten stark erweitert. Allerdings erfordert der Einsatz von programmierbaren Graphikprozessoren (GPUs) normalerweise für jede unterschiedliche Visualisierungsaufgabe die individuelle Anpassung der angewendeten Algorithmen. Deshalb haben bisher nur wenige technisch anspruchsvolle Volumenvisualisierungsalgorithmen den Weg in die tägliche medizinische Praxis gefunden. In dieser Arbeit werden mehrere neue Visualisierungstechniken vorgestellt, die dabei helfen, diese Lücke zwischen Volumenvisualisierung auf der einen Seite und medizinischen Anwendungen auf der anderen Seite zu schließen. Dabei wird das Problem der medizinischen Volumenvisualisierung auf drei unterschiedlichen, aufeinander aufbauenden Ebenen behandelt. Auf der untersten Ebene wird ein flexibles Framework für die simultane Visualisierung mehrerer Volumendatensätze eingeführt. Dieses wird benötigt, wenn mehrere Volumendatensätze, die beispielsweise zu unterschiedlichen Zeitpunkten oder mit unterschiedlichen Aufnahmetechniken erfasst wurden, in einer einzigen Darstellung kombiniert werden sollen. Hierfür wurde der sogenannte Rendergraph entwickelt, der die Festlegung komplexer Visualisierungsvorschriften für beliebige, aus mehreren Volumina bestehenden Szenen ermöglicht. Aus diesem Graphen werden automatisch GPU-Programme für das optimierte Rendering generiert. Die zweite Hierarchieebene umfasst interaktive Volumenvisualisierungsanwendungen für unterschiedliche medizinische Zwecke. Hier werden mehrere Werkzeuge und Techniken präsentiert, die die Flexibilität des Multivolumenrenderingframeworks veranschaulichen. Im Speziellen wird ein Visualisierungswerkzeug vorgestellt, das es ermöglicht, den Rendergraphen direkt über die graphische Benutzerschnittstelle zu konfigurieren. Eine andere Anwendung fokussiert auf die gleichzeitige Darstellung von funktionellen und anatomischen Aufnahmen des Gehirns, die beispielsweise im Rahmen von kognitiven Studien erfasst werden. Darüber hinaus wurde ein Algorithmus für die direkte Deformation von Volumendatensätzen entwickelt, der in der Chirurgiesimulation eingesetzt werden kann. Auf der dritten Hierarchiebene wird die Automatisierung von medizinischen Visualisierungsprozessen betrachtet. Diese kann für Standardvisualsierungsaufgaben zur Unterstützung von Medizinern in ihrer täglichen Arbeit eingesetzt werden. Für die Darstellung der Visualisierungsergebnisse werden 3D-Objectmovies vorgeschlagen, die eine interaktive Navigation entlang vorberechneter Ansichten eines Objektes ermöglichen. Außerdem wird ein Visualsierungsservice vorgestellt, der die teure Berechnung von Videos und 3D-Objectmovies auf einen GPU-Cluster auslagert. Abschließend wird ein Vorgehensmodell für die Entwicklung von Volumenvisualisierungslösungen vorgeschlagen. Ausgehend von der initialen Anforderung, Volumensvisualisierungtechniken für eine bestimmte medizinische Aufgabe einzusetzen, umfasst dieses Vorgehensmodell den kompletten Lebenszyklus einer Visualisierungslösung, von einem Prototypen bis hin zu einem automatisierten Visualisierungsservice. Hierbei wird gezeigt, wie die im Rahmen der vorliegenden Arbeit entwickelten Techniken die Erstellung der Visualisierungslösungen auf den unterschiedlichen Stufen unterstützen

Dynamic Shader Generation for Flexible Multi-Volume Visualization

Imaging) dataset of a human head. The MRI dataset provides the skin and brain tissue. It is vertically cut and the two halves are moved away from each other to get insight to the inner structures. The CTA dataset contains the skull and the vessels which are rendered with different transfer functions. Images (a-c) show three stages of an interactive multi-volume visualization session and image (d) represents the render graph which corresponds to the final configuration in (c). Volume rendering of multiple intersecting volumetric objects is a difficult visualization task, especially if different rendering styles need to be applied to the components, in order to achieve the desired illustration effect. Real-time performance for even complex scenarios is obtained by exploiting the speed and flexibility of modern GPUs, but at the same time programming the necessary shaders turned into a task for GPU experts only. We foresee the demand for an intermediate level of programming abstraction where visualization specialists can realize advanced applications without the need to deal with shader programming intricacies. In this paper, we describe a generic technique for multi-volume render graph. By combining pre-defined nodes, complex volume operations can be realized. Our system efficiently creates GPU-based fragment shader and vertex shader programs “on-thefly” to achieve the desired visual results. We demonstrate the flexibility of our technique by applying several dynamically generated volume rendering styles to multi-modal medical datasets

GPU-based Multi-Volume Rendering for the Visualization of Functional Brain Images

Nowadays, medical imaging procedures provide a great variety of data obtained with different modalities. To offer a deeper insight into this data the simultaneous visualization of these images, not regarding their source, must be provided. One example is the field of functional brain imaging, where the activation of brain regions during cognitive tasks is measured. This data has to be visualized whitin its anatomical context- the brain- in order to have an spatial impression of the position of the activation. To that end, multi-volume visualization must be supported. In this paper we describe a flexible framework for GPU-based multi-volume rendering, which provides a correct overlaying of an arbitrary number of volumes and allows the visual output for each volume to be controlled independently. We also present, a visualization tool specific for the rendering of functional brain images, we built on top of this framework. This tool includes different GPU-based volume rendering techniques, on the one hand for the interactive visual exploration of the data, and on the other hand for the generation of high-quality visual representations. We demonstrate the effectiveness of our tool with data gathered from a cognitive study, in regard to performance and quality results

Distributed Video Generation on a GPU-Cluster for the Web-Based Analysis of Medical Image Data

Modern 3D visualization environments for medical image data provide high interactivity and flexibility but depend on the expert knowledge and the experience of the user with respect to the software application. The definition of the visualization parameters is a manual time-consuming process and as a result, inter-patient or inter-study comparisons are extremely difficult. To overcome these drawbacks in case of the analysis and diagnosis of pathologies, standardization of 3D visualization is an important issue. For this purpose automatically generated digital video sequences can be used to convey the most important information contained in the data. In this paper, we present an improvement of our existing web-based service which is now able to calculate the video sequences in much shorter time exploiting the power of a GPU-cluster. The system requires to transfer a medical volume dataset from an arbitrary computer connected via Internet and sends back a number of video files automatically generated with direct volume rendering. To achieve an optimal load balancing of the available resources, the tasks of automatic adjustment of transfer functions, volume rendering, and video encoding are divided into small sub-requests, which are distributed to the different cluster nodes in order to be performed in parallel. An additional preview mode, which renders a number of dedicated frames, provides a direct feedback and quick overview. For the evaluation, we were focusing on the analysis of intracranial aneurysms and were able to show that the system can be successfully applied. Further on, the system was developed in a way that allows easy integration of other analysis tasks