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"abstract": "Reconstructing geometric shapes from point clouds is a common task that is often accomplished by experts manually modeling geometries in CAD-capable software. State-of-the-art workflows based on fully automatic geometry extraction are limited by point cloud density and memory constraints, and require pre- and post-processing by the user. In this work, we present a framework for interactive, user-driven, feature-assisted geometry reconstruction from arbitrarily sized point clouds. Based on seeded region-growing point cloud segmentation, the user interactively extracts planar pieces of geometry and utilizes contextual suggestions to point out plane surfaces, normal and tangential directions, and edges and corners. We implement a set of feature-assisted tools for high-precision modeling tasks in architecture and urban surveying scenarios, enabling instant-feedback interactive point cloud manipulation on large-scale data collected from real-world building interiors and facades. We evaluate our results through systematic measurement of the reconstruction accuracy, and interviews with domain experts who deploy our framework in a commercial setting and give both structured and subjective feedback.",
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"title": "Uncertainty guidance in proton therapy planning visualization",
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"abstract": "We investigate uncertainty guidance mechanisms to support proton therapy (PT) planning visualization. Uncertainties in the PT workflow pose significant challenges for navigating treatment plan data and selecting the most optimal plan among alternatives. Although guidance techniques have not yet been applied to PT planning scenarios, they have successfully supported sense- and decision-making processes in other contexts. We hypothesize that augmenting PT uncertainty visualization with guidance may influence the intended users' perceived confidence and provide new insights. To this end, we follow an iterative co-design process with domain experts to develop a visualization dashboard enhanced with distinct level-of-detail uncertainty guidance mechanisms. Our approach classifies uncertainty guidance into two dimensions: degree of intrusiveness and detail-orientation. Our dashboard supports the comparison of multiple treatment plans (i.e., nominal plans with their translational variations) while accounting for multiple uncertainty factors. We subsequently evaluate the designed and developed strategies by assessing perceived confidence and effectiveness during a sense- and decision-making process. Our findings indicate that uncertainty guidance in PT planning visualization does not necessarily impact the perceived confidence of the users in the process. Nonetheless, it provides new insights and raises uncertainty awareness during treatment plan selection. This observation was particularly evident for users with longer experience in PT planning.",
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"abstract": "Skalierbare interaktive visuelle Analyse kombiniert computergestützte, interaktive, visuelle Darstellungen von (abstrakten) Daten mit automatischen Techniken, um die Kognition zu fördern und die Modellierung zu erleichtern. Der Vortrag beginnt mit der Formulierung provokanter Thesen, die zum Nachdenken anregen. In den letzten Jahren hat die Komplexität von Daten in Bezug auf Umfang, Wahrheitsgehalt, Geschwindigkeit und Vielfalt erheblich zugenommen. Dies ist sowohl auf neue Datenquellen als auch auf die Verfügbarkeit von Unsicherheits-, Fehler- und Toleranzinformationen zurückzuführen. Anstelle einzelner Objekte werden ganze Mengen, Sammlungen und Ensembles visuell untersucht. Es besteht ein Bedarf an visueller Analyse und Modellierung sowie an vergleichender Visualisierung, quantitativen Visualisierungen, skalierbaren Visualisierungen und verknüpften/integrierten Ansichten. Die Konzepte werden anhand verschiedener Beispiele aus den Bereichen skalierbare Visualisierung, Unsicherheitsvisualisierung, geführte Interaktion und immersive Analytik erläutert. Der Vortrag wird auf die anfänglichen provokativen Thesen zurückkommen und zukünftige Forschungsrichtungen im Bereich der skalierbaren interaktiven visuellen Analyse skizzieren, z.B. Modellitics, Biologisierung der digitalen Welt, Zaten (Zukünftige Daten), immersive Analytik, selbstadaptive selbsterklärende Analyse.",
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"abstract": "Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The\nconventional risk assessment evaluation, based on expert-assisted observation of the workplaces and manually filling in score tables, is\nstill predominant. Data analysis is usually done with a focus on critical moments, although without the support of contextual information\nand changes over time. In this paper we introduce ErgoExplorer, a system for the interactive visual analysis of risk assessment data.\nIn contrast to the current practice, we focus on data that span across multiple actions and multiple workers while keeping all contextual\ninformation. Data is automatically extracted from video streams. Based on carefully investigated analysis tasks, we introduce new\nviews and their corresponding interactions. These views also incorporate domain-specific score tables to guarantee an easy adoption\nby domain experts. All views are integrated into ErgoExplorer, which relies on coordinated multiple views to facilitate analysis through\ninteraction. ErgoExplorer makes it possible for the first time to examine complex relationships between risk assessments of individual\nbody parts over long sessions that span multiple operations. The newly introduced approach supports analysis and exploration at\nseveral levels of detail, ranging from a general overview, down to inspecting individual frames in the video stream, if necessary. We\nillustrate the usefulness of the newly proposed approach applying it to several datasets.",
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"title": "Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures",
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"abstract": "High-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell sub-structures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. In-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and distances, and their spatial correlations. We have designed Barrio as a configurable framework that scientists can adjust to their preferred workflow, visualizations, and supported user interactions for their specific tasks and domain questions. Furthermore, Barrio provides a scalable comparative visualization approach for spatial neighborhoods that automatically adjusts visualizations based on the number of structures to be compared. Barrio supports small multiples of spatial 3D views as well as abstract quantitative views, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. We present an in-depth case study for mitochondria analysis in neuronal tissue and demonstrate the usefulness of Barrio in a qualitative user study with neuroscientists.",
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"title": "DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures",
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"title": "Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency",
"date": "2018-05-01",
"abstract": "Objectives To compare diagnostic performance and time\nefficiency between 3D multipath curved planar reformations\n(mpCPRs) and axial images of CT angiography for\nthe pre-interventional assessment of peripheral arterial\ndisease (PAD), with digital subtraction angiography as the\nstandard of reference.\nMethods Forty patients (10 females, mean age 72 years),\nreferred to CTA prior to endovascular treatment of PAD,\nwere prospectively included and underwent peripheral CT\nangiography. A semiautomated toolbox was used to render\nmpCPRs. Twenty-one arterial segments were defined in\neach leg; for each segment, the presence of stenosis[70%\nwas assessed on mpCPRs and axial images by two readers,\nindependently, with digital subtraction angiography as gold\nstandard.\nResults Both readers reached lower sensitivity (Reader 1:\n91 vs. 94%, p = 0.08; Reader 2: 89 vs. 93%, p = 0.03) but\nsignificantly higher specificity (Reader 1: 94 vs. 89%,\np\\0.01; Reader 2: 96 vs. 95%, p = 0.01) with mpCPRs\nthan with axial images. Reader 1 achieved significantly\nhigher accuracy with mpCPRs (93 vs. 91%, p = 0.02), and Reader 2 had similar overall accuracy in both evaluations\n(94 vs. 94%, p = 0.96). Both readers read mpCPRs significantly\nfaster than axial images (Reader 1: 504500 based\non mpCPRs vs. 704000 based on axial images; Reader 2:\n404100 based on mpCPRs vs. 605700 based on axial images;\np\\0.01).\nConclusions mpCPRs are a promising 3D reformation\ntechnique that facilitates a fast assessment of PAD with\nhigh diagnostic accuracy.",
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"title": "COZOID: contact zone identifier for visual analysis of protein-protein interactions",
"date": "2018-04",
"abstract": "Background: Studying the patterns of protein-protein interactions (PPIs) is fundamental for understanding thestructure and function of protein complexes. The exploration of the vast space of possible mutual configurations ofinteracting proteins and their contact zones is very time consuming and requires the proteomic expert knowledge.Results:In this paper, we propose a novel tool containing a set of visual abstraction techniques for the guidedexploration of PPI configuration space. It helps proteomic experts to select the most relevant configurations andexplore their contact zones at different levels of detail. The system integrates a set of methods that follow and supportthe workflow of proteomics experts. The first visual abstraction method, the Matrix view, is based on customizedinteractive heat maps and provides the users with an overview of all possible residue-residue contacts in all PPIconfigurations and their interactive filtering. In this step, the user can traverse all input PPI configurations and obtain anoverview of their interacting amino acids. Then, the models containing a particular pair of interacting amino acids canbe selectively picked and traversed. Detailed information on the individual amino acids in the contact zones and theirproperties is presented in the Contact-Zone list-view. The list-view provides a comparative tool to rank the best modelsbased on the similarity of their contacts to the template-structure contacts. All these techniques are interactivelylinked with other proposed methods, the Exploded view and the Open-Book view, which represent individualconfigurations in three-dimensional space. These representations solve the high overlap problem associated withmany configurations. Using these views, the structural alignment of the best models can also be visually confirmed.",
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"title": "Comprehensive Visualization\u000bof Cardiac MRI Data",
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"abstract": "Coronary artery disease is one of the leading causes of death in the western world. The continuous improvements in magnetic resonance imaging (MRI) technology facilitate more accurate diagnoses by providing increasingly more detailed information on the viability, functioning, perfusion, and anatomy of a patient’s heart. The talk covers several techniques that realize multi-modal visualizations of a patient’s heart to assist in the diagnosis of coronary artery disease . A volumetric bull’s eye offers a more comprehensive view on the viability of a patient’s heart by providing detailed information on the transmurality of scar while not suffering from discontinuities. Anatomical context is often lost due to abstract representations of data, or may be scarce due to the nature of the scanning protocol. Several techniques to restore the relation to anatomy are presented. The primary coronary arteries are segmented in a whole heart scan and mapped onto a volumetric bull’s eye plot, adding anatomical context to an abstract representation. Similarly, segmented late enhancement data are rendered along with a three-dimensional segmentation of the patient-specific myocardial and coronary anatomy. Additionally, coronary supply territories are computed from patient-specific data as an improvement over models based on population averages. Information on the perfusion of the myocardium provided by MRI is typically of fairly low resolution. Using high-resolution anatomical data, an approach to visualize simulated myocardial perfusion is presented, taking full advantage of the detailed information on perfusion. Finally, a truly comprehensive visualization of a cardiac MRI exam is explored by combining whole heart, late enhancement, functional, and perfusion scans in a single visualization.",
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"title": "The Haunted Swamps of Uniformity",
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"abstract": "Dissemination of scientific results in visualization (like in many other disciplines) through papers and talks follow rather standardized styles and procedures. Given that publishing strategies were very different not so much time ago in the past, and given new technological developments like electronic publishing, ideas of possible future developments are discussed. Topics treated include: increased repeatability through augmenting papers with executables, providing more extensive sensitivity and robustness analyses, paper presentation as drama, poem, comics strip.",
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"title": "Visualization of Complex Data: Going from Linked to Integrated Views ",
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"abstract": "Data Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity has increased tremendously. This is for example due to an increase in data size and dimensionality. New imaging modalities generate quite heterogeneous, multi-valued, multi-modal, and time-varying data. Separate views and linked views are approaches to cope with complexity, but are limited, e.g., concerning scalability. This talk will concentrate especially on integrated views as inspired by traditional illustrations. Integration can be coarse or sparse in space and time. It may even involve different spaces with varying dimensionality and characteristics. The talk will discuss several research examples which go beyond data and image fusion. More details will be given about a specific display of 3D volume data integrated into a 2D graph view.",
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"abstract": "Computer simulation has become an ubiquitous tool to investigate the nature of systems. When steering a simulation, users modify parameters to study their impact on the simulation outcome. The ability to test alternative options provides the basis for interactive decision making. Increasingly complex simulations are characterized by an intricate interplay of many heterogeneous input and output parameters. A steering concept that combines simulation and visualization within a single, comprehensive system is largely missing. This talk targets the basic components of a novel integrated steering system called Visdom to support the user in the decision making process. The proposed techniques enable users to examine alternative scenarios without the need for special simulation expertise. To accomplish this, we propose World Lines as a management strategy for multiple, related simulation runs. In a dedicated view, users create and navigate through many simulation runs. New decisions are included through the concept of branching. To account for uncertain knowledge about the input parameters, we provide the ability to cover full parameter distributions. Via multiple cursors, users navigate a system of multiple linked views through time and alternative scenarios. In this way, the system supports comparative visual analysis of many simulation runs. Since the steering process generates a huge amount of information, we employ the machine to support the user in the search for explanations inside the computed data. Visdom is built on top of a data-flow network to provide a high level of modularity. A decoupled meta-flow is in charge of transmitting parameter changes from World Lines to the affected dataflow nodes. To direct the user attention to the most relevant parts, we provide dynamic visualization inside the flow diagram. The usefulness of the presented approach is substantiated through case studies in the field of flood management. The Visdom application enables the design of a breach closure by dropping sandbags in a virtual environment.",
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"abstract": "Interactive visualization is widely used in many applications for efficient representation of complex data.\r\nMany techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics.\r\nIn this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics.\r\nOur approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.",
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"title": "Hybrid Visibility Compositing and Masking for Illustrative Rendering",
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"title": "Visual Human+Machine Learning",
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"abstract": "In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combines the vast search and processing power of the computer with the superior reasoning and pattern recognition capabilities of the human user. An evolutionary search algorithm has been adapted to assist in the fuzzy logic formalization of hypotheses that aim at explaining features inside multivariate, volumetric data. Up to now, users solely rely on their knowledge and expertise when looking for explanatory theories. However, it often remains unclear whether the selected attribute ranges represent the real explanation for the feature of interest. Other selections hidden in the large number of data variables could potentially lead to similar features. Moreover, as simulation complexity grows, users are confronted with huge multidimensional data sets making it almost impossible to find meaningful hypotheses at all. We propose an interactive cycle of knowledge-based analysis and automatic hypothesis generation. Starting from initial hypotheses, created with linking and brushing, the user steers a heuristic search algorithm to look for alternative or related hypotheses. The results are analyzed in information visualization views that are linked to the volume rendering. Individual properties as well as global aggregates are visually presented to provide insight into the most relevant aspects of the generated hypotheses. This novel approach becomes computationally feasible due to a GPU implementation of the time-critical parts in the algorithm. A thorough evaluation of search times and noise sensitivity as well as a case study on data from the automotive domain substantiate the usefulness of the suggested approach.",
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"title": "VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data",
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"abstract": "We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots\r\nare a point-based representation of volumetric data. An individual Vot is specified by the coefficients of a Taylor\r\nseries expansion, i.e. the function value and higher order derivatives at a specific point. A Vot does not only\r\nrepresent a single sample point, it represents the underlying function within a region. With the Vots representation\r\nwe have a more intuitive and high-level description of the volume data. This allows direct analytical examination\r\nand manipulation of volumetric datasets. Vots enable the representation of the underlying scalar function with\r\nspecified precision. User-centric importance sampling is also possible, i.e., unimportant volume parts are still\r\npresent but represented with just very few Vots. As proof of concept, we show Maximum Intensity Projection based\r\non Vots.",
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"id": "Viola-2004-GPU",
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"title": "GPU-based Frequency Domain Volume Rendering",
"date": "2004-04",
"abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other techniques. In this paper\r\nthe FVR algorithm is accelerated by factor of 17\r\nby mapping the rendering stage to the GPU. The overall\r\nhardware-accelerated pipeline is discussed and the\r\nchanges according to previous work are pointed out. The\r\nthree-dimensional transformation into frequency domain\r\nis done in a pre-processing step. The rendering step is\r\ncomputed completely on the GPU. First the projection\r\nslice is extracted. Four different interpolation schemes\r\nare used for resampling the slice from the data represented\r\nby a 3D texture. The extracted slice is transformed\r\nback into the spatial domain using the inverse\r\nFast Fourier or Fast Hartley Transform. The rendering\r\nstage is implemented through shader programs running\r\non programmable graphics hardware achieving highly interactive\r\nframerates.",
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"id": "alacruzECR2004",
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"tu_id": null,
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"title": "Accuracy of Automated Centerline Approximation Algorithms for Lower Extremity Vessels in CTA Phantom",
"date": "2004-03",
"abstract": "Purpose: The accurate determination of the central vessel axis is a prerequisite for automated visualization (curved planar reformation) and quantitation. The purpose of this work was to assess the accuracy of different algorithms for automated centerline detection in a phantom simulating the peripheral arterial tree.\r\nMethods and Material: Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel (aorto-to-pedal arteries, diameter 18-0.6mm) dataset (256x256x600, voxel size 0.5x0.5x0.5mm). They are ray-casting/thresholding (RCT), ray-casting/maximum gradient (RCMG), block matching (BM), fitting to ellipse (FE), center of gravity (CoG), and Randomized Hough transform (RHT). Gaussian noise whith a sigma: 0, 5 and 10 was used to observe the accuracy of the method under noise influence The accuracy of automatic centerline determination was quantified by measuring the error-distance between the derived centerlines, and the known centerline course of the synthetic dataset.\r\nResults: BM demonstrated unacceptable performance in large vessels (>5mm) when the shift used was less than 3 voxels. RCMG demonstrated a greater error (mean of the error 4.73mm) in large diameter (>15mm) vessels than in small diameter (<15mm) vessels (mean of the error 0.64mm). Because RHT and FE use Canny edge detector preprocessing, both are sensitive to noise. CoG and RCT keep the mean of the error-distance significantly smaller (0.7mm and 0.9mm respectively) than all other algorithms.\r\nConclusion: CoG and RCT algorithms provide the most efficient centerline approximation over a wide range of vessel diameters. ",
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"booktitle": "European Congres of Radiology",
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"organization": "Institute of Computer Graphics and Algorithms, Vienna University of Technology",
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"title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire",
"date": "2004-02",
"abstract": "In general three-dimensional segmentation algorithms assume objects to have connected homogeneous regions.\r\nHowever in some cases objects are defined by a fuzzy boundary surface and consist of an inhomogeneous\r\ninternal structure. In the following a new three-dimensional segmentation technique exploiting the contour\r\ndetection capabilities of live-wire is proposed. The algorithm consists of two basic steps. First contours are\r\noutlined by the user on a small number of planar cross-sections through the object using live-wire. Second the\r\ntraced contours are used for reconstructing the object surface automatically in each slice using live-wire again.\r\nThis user-friendly segmentation algorithm is independent from object topology as the topology is implicitly\r\ndefined during the reconstruction process.",
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"booktitle": "Journal of WSCG, Vol. 12, Number 2",
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"title": "Efficient Volume Visualization of Large Medical Datasets",
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"title": "Importance-Driven Image Generation in Scientific Visualization",
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"id": "Bruckner-2003-The",
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"title": "The Inverse Warp: Non-Invasive Integration of Shear-Warp Volume Rendering into Polygon Rendering Pipelines",
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"abstract": "In this paper, a simple and efficient solution for combining shear-warp volume rendering and the hardware graphics pipeline is presented. The approach applies an inverse warp transformation to the Z-Buffer, containing the rendered geometry. This information is used for combining geometry and volume data during compositing. We present applications of this concept which include hybrid volume rendering, i.e., concurrent rendering of polygonal objects and volume data, and volume clipping on convex clipping regions. Furthermore, it can be used to efficiently define regions with different rendering modes and transfer functions for focus+context volume rendering. Empirical results show that the approach has very low impact on performance.",
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"title": "Bone Segmentation in CT-Angiography Data Using a Probabilistic Atlas",
"date": "2003-11",
"abstract": "Automatic segmentation of bony structures in CT angiography datasets is an essential pre-processing step necessary for most visualization and analysis tasks. Since traditional density and gradient operators fail in non-trivial cases (or at last require extensive operator work), we propose a new method for segmentation of CTA data based on a probabilistic atlas. Sorting densities and masks of previously manually segmented tissues to the atlas can constitute a statistical information base for latter accurate segmentation. In order to eliminate dimensional and anatomic variability of the atlas input datasets, these have to be spatially normalized (registered) first by applying a non-rigid transformation. After this transformation, densities and tissue masks are statistically processed (e.g. averaged) within the atlas. Records in the atlas can be later evaluated for estimating the probability of bone tissue in a voxel of an unsegmented dataset.",
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"abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.",
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"doi": "https://doi.org/10.1016/j.visinf.2021.02.003",
"journal": "Visual Informatics",
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