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        "title": "Ten Open Challenges in Medical Visualization ",
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        "abstract": "The medical domain has been an inspiring application area in visualization research for many years already, but many open challenges remain. The driving forces of medical visualization research have been strengthened by novel developments, for example, in deep learning, the advent of affordable VR technology, and the need to provide medical visualizations for broader audiences. At IEEE VIS 2020, we hosted an Application Spotlight session to highlight recent medical visualization research topics. With this article, we provide the visualization community with ten such open challenges, primarily focused on challenges related to the visualization of medical imaging data. We first describe the unique nature of medical data in terms of data preparation, access, and standardization. Subsequently, we cover open visualization research challenges related to uncertainty,  multimodal and multiscale approaches, and evaluation. Finally, we emphasize challenges related to users focusing on explainable AI, immersive visualization, P4 medicine, and narrative visualization. ",
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        "title": "Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool",
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        "abstract": "Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an iso-TCP approach.",
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        "title": "Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study",
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        "abstract": "We present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treatment process, and it can give indications of RT-induced complications for the patient. In prostate cancer RT treatment, despite the design of an initial plan prior to dose administration, bladder toxicity remains very common. The main reason is that the dose is delivered in multiple fractions over a period of weeks, during which, the anatomical variation of the bladder - due to differences in urinary filling - causes deviations between planned and delivered doses. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. This is currently done with Dose-Volume Histograms (DVHs), which provide limited, qualitative insight. The effect of bladder variation on dose delivery and the resulting toxicity cannot be currently examined with the DVHs. To address this need, we designed and implemented the Bladder Runner, which incorporates visualization strategies in a highly interactive environment with multiple linked views. Individual patients can be explored and analyzed through the entire treatment period, while inter-patient and temporal exploration, analysis and comparison are also supported. We demonstrate the applicability of our presented tool with a usage scenario, employing a dataset of 29 patients followed through the course of the treatment, across 13 time points. We conducted an evaluation with three clinical researchers working on the investigation of RT-induced bladder toxicity. All participants agreed that Bladder Runner provides better understanding and new opportunities for the exploration and analysis of the involved cohort data.",
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        "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline",
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        "abstract": "Prostate cancer is one of the most frequently occurring types of cancer in males. It is often treated with radiation therapy,which aims at irradiating tumors with a high dose, while sparing the surrounding healthy tissues. In the course of the years,radiotherapy technology has undergone great advancements. However, tumors are not only different from each other, theyare also highly heterogeneous within, consisting of regions with distinct tissue characteristics, which should be treated withdifferent radiation doses. Tailoring radiotherapy planning to the specific needs and intra-tumor tissue characteristics of eachpatient is expected to lead to more effective treatment strategies. Currently, clinical research is moving towards this direction,but an understanding of the specific tumor characteristics of each patient, and the integration of all available knowledge into apersonalizable radiotherapy planning pipeline are still required. The present work describes solutions from the field of VisualAnalytics, which aim at incorporating the information from the distinct steps of the personalizable radiotherapy planningpipeline, along with eventual sources of uncertainty, into comprehensible visualizations. All proposed solutions are meantto increase the – up to now, limited – understanding and exploratory capabilities of clinical researchers. These approachescontribute towards the interactive exploration, visual analysis and understanding of the involved data and processes at differentsteps of the radiotherapy planning pipeline, creating a fertile ground for future research in radiotherapy planning.",
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        "title": "Visual Analytics for the Exploration and Assessment  of Segmentation Errors",
        "date": "2016-09-07",
        "abstract": "Several diagnostic and treatment procedures require the segmentation of anatomical structures from medical images. However, the automatic model-based methods that are often employed, may produce inaccurate segmentations. These, if used as input for diagnosis or treatment, can have detrimental effects for the patients. Currently, an analysis to predict which anatomic regions are more prone to inaccuracies, and to determine how to improve segmentation algorithms, cannot be performed. We propose a visual tool to enable experts, working on model-based segmentation algorithms, to explore and analyze the outcomes and errors of their methods. Our approach supports the exploration of errors in a cohort of pelvic organ segmentations, where the\nperformance of an algorithm can be assessed. Also, it enables the detailed exploration and assessment of segmentation errors, in individual subjects. To the best of our knowledge, there is no other tool with comparable functionality. A usage scenario is employed to explore and illustrate the capabilities of our visual tool. To further assess the value of the proposed tool, we performed an evaluation with five segmentation experts. The evaluation participants confirmed the potential of the tool in providing new insight into their data and employed algorithms. They also gave feedback for future improvements.",
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        "title": "Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.",
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        "abstract": "Accurate segmentation of brain white matter hyperintensi-ties (WMHs) is important for prognosis and disease monitoring. To thisend, classi\fers are often trained { usually, using T1 and FLAIR weightedMR  images.  Incorporating  additional  features,  derived  from  di\u000busionweighted MRI, could improve classi\fcation. However, the multitude ofdi\u000busion-derived features requires selecting the most adequate. For this,automated feature selection is commonly employed, which can often besub-optimal. In this work, we propose a di\u000berent approach, introducing asemi-automated pipeline to select interactively features for WMH classi\f-cation. The advantage of this solution is the integration of the knowledgeand skills of experts in the process. In our pipeline, a Visual Analytics(VA)  system  is  employed,  to  enable  user-driven  feature  selection.  Theresulting  features  are  T1,  FLAIR,  Mean  Di\u000busivity  (MD),  and  RadialDi\u000busivity (RD) { and secondarily,CSand Fractional Anisotropy (FA).The next step in the pipeline is to train a classi\fer with these features,and compare its results to a similar classi\fer, used in previous work withautomated feature selection. Finally, VA is employed again, to analyzeand understand the classi\fer performance and results.",
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        "title": "Visual analytics for the exploration of tumor tissue characterization",
        "date": "2015",
        "abstract": "Tumors are heterogeneous tissues consisting of multiple regions with distinct characteristics. Characterization ofthese intra-tumor regions can improve patient diagnosis and enable a better targeted treatment. Ideally, tissuecharacterization could be performed non-invasively, using medical imaging data, to derive per voxel a number offeatures, indicative of tissue properties. However, the high dimensionality and complexity of this imaging-derivedfeature space is prohibiting for easy exploration and analysis - especially when clinical researchers require toassociate observations from the feature space to other reference data, e.g., features derived from histopathologicaldata. Currently, the exploratory approach used in clinical research consists of juxtaposing these data, visuallycomparing them and mentally reconstructing their relationships. This is a time consuming and tedious process,from which it is difficult to obtain the required insight. We propose a visual tool for: (1) easy exploration and visualanalysis of the feature space of imaging-derived tissue characteristics and (2) knowledge discovery and hypothesisgeneration and confirmation, with respect to reference data used in clinical research. We employ, as central view,a 2D embedding of the imaging-derived features. Multiple linked interactive views provide functionality for theexploration  and  analysis  of  the  local  structure  of  the  feature  space,  enabling  linking  to  patient  anatomy  andclinical reference data. We performed an initial evaluation with ten clinical researchers. All participants agreedthat, unlike current practice, the proposed visual tool enables them to identify, explore and analyze heterogeneousintra-tumor regions and particularly, to generate and confirm hypotheses, with respect to clinical reference data.",
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        "title": "Visual analytics for the exploration of multiparametric cancer imaging",
        "date": "2014",
        "abstract": "Tumor  tissue  characterization  can  play  an  important  role  in  thediagnosis  and  design  of  effective  treatment  strategies.    In  orderto  gather  and  combine  the  necessary  tissue  information,  multi-modal  imaging  is  used  to  derive  a  number  of  parameters  indica-tive of tissue properties.  The exploration and analysis of relation-ships between parameters and, especially, of differences among dis-tinct intra-tumor regions is particularly interesting for clinical re-searchers to individualize tumor treatment.  However, due to highdata dimensionality and complexity, the current clinical workflowis time demanding and does not provide the necessary intra-tumorinsight.  We implemented a new application for the exploration ofthe relationships between parameters and heterogeneity within tu-mors.   In our approach,  we employ a well-known dimensionalityreduction technique [5] to map the high-dimensional space of tis-sue properties into a 2D information space that can be interactivelyexplored with integrated information visualization techniques.  Weconducted several usage scenarios with real-patient data, of whichwe  present  a  case  of  advanced  cervical  cancer.   First  indicationsshow that our application introduces new features and functionali-ties that are not available within the current clinical approach.",
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        "title": "The iCoCooN:Integration of Cobweb Charts with Parallel Coordinates forVisual Analysis of DCE-MRI Modeling Variations",
        "date": "2014",
        "abstract": "Efficacy of radiotherapy treatment depends on the specific characteristics of tumorous tissues. For the determi-nation of these characteristics, clinical practice uses Dynamic Contrast Enhanced (DCE) Magnetic ResonanceImaging (MRI). DCE-MRI data is acquired and modeled using pharmacokinetic modeling, to derive per voxela set of parameters, indicative of tissue properties. Different pharmacokinetic modeling approaches make differ-ent assumptions, resulting in parameters with different distributions. A priori, it is not known whether there aresignificant differences between modeling assumptions and which assumption is best to apply. Therefore, clinicalresearchers need to know at least how different choices in modeling affect the resulting pharmacokinetic parame-ters and also where parameter variations appear. In this paper, we introduce iCoCooN: a visualization applicationfor the exploration and analysis of model-induced variations in pharmacokinetic parameters. We designed a visualrepresentation, the Cocoon, by integrating perpendicularly Parallel Coordinate Plots (PCPs) with Cobweb Charts(CCs). PCPs display the variations in each parameter between modeling choices, while CCs present the relationsin a whole parameter set for each modeling choice. The Cocoon is equipped with interactive features to supportthe exploration of all data aspects in a single combined view. Additionally, interactive brushing allows to link theobservations from the Cocoon to the anatomy. We conducted evaluations with experts and also general users. Theclinical experts judged that the Cocoon in combination with its features facilitates the exploration of all significantinformation and, especially, enables them to find anatomical correspondences. The results of the evaluation withgeneral users indicate that the Cocoon produces more accurate results compared to independent multiples",
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        "title": "Interactive Virtual Probing of 4D MRI Blood-Flow",
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        "abstract": "Better understanding of hemodynamics conceivably leads to improved diagnosis and prognosis of cardiovascular diseases.\r\nTherefore, an elaborate analysis of the blood-flow in heart and thoracic arteries is essential. Contemporary MRI techniques\r\nenable acquisition of quantitative time-resolved flow information, resulting in 4D velocity fields that capture the blood-flow behavior.\r\nVisual exploration of these fields provides comprehensive insight into the unsteady blood-flow behavior, and precedes a quantitative\r\nanalysis of additional blood-flow parameters. The complete inspection requires accurate segmentation of anatomical structures, encompassing\r\na time-consuming and hard-to-automate process, especially for malformed morphologies. We present a way to avoid the\r\nlaborious segmentation process in case of qualitative inspection, by introducing an interactive virtual probe. This probe is positioned\r\nsemi-automatically within the blood-flow field, and serves as a navigational object for visual exploration. The difficult task of determining\r\nposition and orientation along the view-direction is automated by a fitting approach, aligning the probe with the orientations of\r\nthe velocity field. The aligned probe provides an interactive seeding basis for various flow visualization approaches. We demonstrate\r\nillustration-inspired particles, integral lines and integral surfaces, conveying distinct characteristics of the unsteady blood-flow. Lastly,\r\nwe present the results of an evaluation with domain experts, valuing the practical use of our probe and flow visualization techniques.",
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        "title": "Patient-Specific Coronary Artery Supply Territory AHA Diagrams",
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        "abstract": "Introduction: The American Heart Association proposed a 17-segment model for the segmentation of the left ventricle together with a mapping from each segment to a supplying coronary artery. This proposal is based on population averages. Several studies have confirmed the inaccuracy of this mapping due to large anatomical variations of the coronary arteries among individuals. Several proposals have been made for a different mapping between the 17 segments and the coronary arteries.\r\n\r\nPurpose: Due to the large variation in coronary anatomy there is a need for a patient-specific assignment of ventricular segments to supplying coronary arteries. We propose to use a segmentation of the coronary arteries and the ventricular epicardium to compute this patient-specific mapping.\r\n\r\nMethods: The three primary coronary arteries (LAD, LCX and RCA) and the left ventricle are segmented in a whole-heart MRI (SSFP) or CT scan of at least 150 slices. For the coronary arteries we employ a semi-automatic vessel tracking algorithm. The left ventricle is segmented using a fully automatic approach. The epicardial surface of the resulting segmentation is represented as a quadrilateral mesh. The centerlines of the coronary arteries are projected on the epicardial surface. A Voronoi diagram of the projected arteries is computed using a geodesic distance metric. The patient-specific coronary supply territories are computed using a modified marching squares algorithm. The examples given here consist of three territories, but our approach is flexible enough to handle any amount of territories.\r\n\r\nBoth the coronary supply territories and the coronary arteries are projected onto a bull’s eye plot using a parameterization of the left ventricle based on cylindrical coordinates, using the cardiac long axis as the primary axis of the cylinder (Figure 1a). The continuous nature of the epicardial surface is preserved in this projection. This means that the bull’s eye plot does not consist of rings representing slices, but that the distance to the center is proportional to the distance to the apex. This bull’s eye plot can for example be used as an overlay for the analysis of viability (Figure 1b).\r\n\r\nFigure 1. (a) Bull’s eye plot showing patient-specific coronary supply territories. The dotted lines represent the 17-segment model. (b) Patient-specific coronary supply territories as an overlay on a bull’s eye plot of a late enhancement scan.\r\n\r\nResults: We evaluated our method on image data from five patients. For each patient we produced both a standard 17-segment diagram and a diagram with the projection of the patient-specific coronary supply territories resulting from our approach. In both diagrams a projection of the segmented coronary arteries was shown. We then asked an experienced clinician to judge the correspondence between the coronary arteries and the suggested coronary supply territories for both diagrams. It was judged that our patient-specific coronary supply territories provide a better correlation with the position of the coronary arteries. The clinician expressed a preference to our method as compared to the standard 17-segment model.\r\n\r\nThe continuous relation between the distance to the center of the bull’s eye plot and the distance to the apex caused some confusion with our clinician. Especially in combination with CMR data consisting of relatively few slices this relation should be clarified.\r\n\r\nConclusion: With our method the relation between coronary arteries and areas supplied by these arteries is better visualized. This will help to better correlate the location of infarcted or ischemic areas to the coronaries that have caused the respective infarction or ischemia.",
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        "title": "Visualization of Myocardial Perfusion Derived from Coronary Anatomy",
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        "abstract": "Visually assessing the effect of the coronary artery anatomy on the perfusion of the heart muscle in patients with coronary artery disease remains a challenging task. We explore the feasibility of visualizing this effect on perfusion using a numerical approach. We perform a computational simulation of the way blood is perfused throughout the myocardium purely based on information from a three-dimensional anatomical tomographic scan. The results are subsequently visualized using both three-dimensional visualizations and bull's eye plots, partially inspired by approaches currently common in medical practice. Our approach results in a comprehensive visualization of the coronary anatomy that compares well to visualizations commonly used for other scanning technologies. We demonstrate techniques giving detailed insight in blood supply, coronary territories and feeding coronary arteries of a selected region. We demonstrate the advantages of our approach through visualizations that show information which commonly cannot be directly observed in scanning data, such as a separate visualization of the supply from each coronary artery. We thus show that the results of a computational simulation can be effectively visualized and facilitate visually correlating these results to for example perfusion data. ",
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    {
        "id": "termeer-2008-scmr",
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        "title": "The Volumetric Bulls Eye Plot",
        "date": "2008-02",
        "abstract": "Introduction: The bull's eye plot is a commonly used schematic for the visualization of quantitative late enhancement cardiac MRI data. It gives an intuitive overview of the viability of the entire left ventricular myocardium in a single diagram. However, common implementations do not provide a continuous transition between slices and provide poor or no information about the exact location and transmurality of non-viable tissue.\r\nPurpose: We propose a novel visualization technique that relieves the drawbacks of the bull's eye plot but maintains its advantages. Our hypothesis is that our technique will enable a more accurate assessment of the relation between viable and non-viable myocardial tissue (scar).\r\nMethods: Short-axis late enhancement cardiac MRI acquisitions consist of 10-20 slices. We segment the left-ventricular myocardium in all slices using manually drawn contours on both the epicardium and the endocardium. The segmented myocardium is subsequently unfolded along the long axis and reformatted to form a thin cylinder (Figure 1a). In this process myocardial cross-sections are mapped to equidistant rings within this cylinder. The volumetric nature of the myocardium is preserved during the unfolding.\r\nA projection of the cylinder is generated using the technique of volume rendering (Figure 1b). The viewing direction in this projection is oriented from the apex towards the base of the ventricle. This makes the viewer perceive the endocardium to be behind the epicardium. This view is further augmented with the main coronary arteries extracted from a whole heart MRI scan (150 slices, SSFP). Furthermore, two dots indicating the points where the left and right-ventricular myocardial connect are added. A thin slab perpendicular to the long axis within the cylinder can be selected for exclusive rendering, providing a method of visualizing only epicardial or endocardial viability.\r\nTo investigate scar transmurality, the user can select a wedge-shaped region of interest. Figure 1c shows the transmurality of that region by projecting it from its side. The unfolding method is modified for this projection to compensate for distortions due to the shape of the selected region. Since the wall thickness may vary within the region of interest, lines indicating the minimum and maximum wall thickness in the selected region are displayed.\r\nResults: The long-axis projection provides a smooth overview of the viability due to the unfolding method that preserves the continuous, volumetric nature of the myocardium. This also causes the resolution of the diagram to increase when more slices are acquired. The additional context information (i.e., coronary arteries) allows for easier interpretation of the location of any scar. Due to the close relation to the bull's eye plot, we believe that clinical adoption will be easy. The transmurality view provides detailed information on the distribution of scar within the myocardium. The preservation of wall thickness allows for judgment of the location and extent of the scar in relation to healthy tissue.\r\nConclusion: Our novel volumetric bull's eye plot allows for a comprehensive assessment of viability and scar transmurality thanks to its continuous nature and the additional context information provided.\r\n",
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        "booktitle": "Abstracts of the 11th Annual SCMR Scientific Sessions – 2008",
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        "title": "CoViCAD: Comprehensive Visualization of Coronary Artery Disease",
        "date": "2007-10",
        "abstract": "We present novel, comprehensive visualization techniques for the diagnosis of patients with Coronary Artery Disease using segmented cardiac MRI data. We extent an accepted medical visualization technique called the bull’s eye plot by removing discontinuities, preserving the volumetric nature of the left ventricular wall and adding anatomical context. The resulting volumetric bull’s eye plot can be used for the assessment of transmurality. We link these visualizations to a 3D view that presents viability information in a detailed anatomical context. We combine multiple MRI scans (whole heart anatomical data, late enhancement data) and multiple segmentations (polygonal heart model, late enhancement contours, coronary artery tree). By selectively combining different rendering techniques we obtain comprehensive yet intuitive visualizations of the various data sources.",
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        "title": "Interactive Thickness Visualization of Articular Cartilage",
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        "abstract": "We report on using computed tomography (CT) as a model acquisition\ntool for complex objects in computer graphics. Unlike other modeling\nand scanning techniques the complexity of the object is irrelevant in\nCT, which naturally enables to model objects with, for example,\nconcavities, holes, twists or fine surface details. Once the data is\nscanned, one can apply post-processing techniques aimed at its further\nenhancement, modification or presentation. For demonstration purposes\nwe chose to scan a Christmas tree which exhibits high complexity which\nis difficult or even impossible to handle with other\ntechniques. However, care has to be taken to achieve good scanning\nresults with CT. Further, we illustrate the post-processing by means\nof data segmentation and photorealistic as well as non-photorealistic\n\t\t surface and volume rendering techniques.",
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        "abstract": "The majority of virtual endoscopy  techniques tries to simulate a\nreal endoscopy. A real endoscopy does not always give the optimal\ninformation due to the physical limitations it is subject to. In\nthis paper, we deal with the unfolding of the surface of the colon\nas a possible visualization technique for diagnosis and polyp\ndetection. A new two-step technique is presented which deals with\nthe problems of double appearance of polyps and nonuniform\nsampling that other colon unfolding techniques suffer from. In the\nfirst step, a distance map from a central path induces nonlinear\nrays for unambiguous parameterization of the surface. The second\nstep compensates for locally varying distortions of the unfolded\nsurface. A technique similar to magnification fields in\ninformation visualization is hereby applied. The technique\n                 produces a single view of a complete virtually dissected colon.",
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    {
        "id": "Vilanova-2001-Non",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Nonlinear Virtual Colon Unfolding",
        "date": "2001",
        "abstract": null,
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        "substitute": null,
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        "authors": [
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            166,
            197,
            459
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        "note": "Proceedings of <a href=\"http://vis.computer.org/vis01/index.html\">IEEE Visualization 2001</a>, October 2001, San Diego, USA, pp. 91-98",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-Non/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2001-Per",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perspective Projection through Parallel Projected Slabs for Virtual Endoscopy",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
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        "authors": [
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            197,
            459
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        "note": "Proceedings of the 17th Spring Conference on Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April 25th-28th, 2001, pp. 287-295, ISBN 0-7695-1215-1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-Per/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2001-Vir",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Colon Flattening",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            197,
            340,
            459
        ],
        "note": "Proceedings of VisSym'01, Joint Eurographics - IEEE TCVG Symposium on Visualization, May 28 - May 30, pages 127-136 2001, Ascona, Switzerland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-Vir/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2000-VCF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Colon Flattening",
        "date": "2000-12",
        "abstract": "We present a new method to visualize virtual endoscopic\nviews. We\npropose to flatten the organ by the direct projection of the\nsurface onto a set of cylinders. Two sampling strategies are\npresented and the introduced  distortions are studied. A\nnon-photorealistic technique is presented to enhance the\nperception of the images. Finally, an approximate but real-time\nendoscopic fly-through is possible by using the data obtained by\n                 the projection technique.",
        "authors_et_al": false,
        "substitute": null,
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        "authors": [
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            165,
            197,
            166,
            340
        ],
        "number": "TR-186-2-00-25",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "Colon Flattening",
            "Volume Rendering",
            "Virtual Colonoscopy"
        ],
        "weblinks": [],
        "files": [
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        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-VCF/",
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    {
        "id": "Wegenkitt-2000-MIV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Interactive Virtual Bronchioscopy on a Low--End PC",
        "date": "2000-03",
        "abstract": "Virtual endoscopy presents the cross-sectional acquired 3D-data of\na computer tomograph as an endoluminal view. The common approach\nfor the visualization of a virtual endoscopy is surface rendering,\nyielding images close to a real endoscopy. If external structures\nare of interest, volume rendering techniques have to be used.\nThese methods do not display the exact shape of the inner lumen\nvery well. For certain applications, e.g. operation planning of a\ntrans-bronchial biopsy, both, the shape of the inner lumen as well\nas outer structures like blood vessels and the tumor have to be\ndelineated. In this paper a method is described, that allows a\nquick and easy hybrid visualization using overlays of different\nvisualization methods like different surfaces or volume renderings\nwith different transfer functions in real time on a low-end PC. To\nachieve real time frame rates, image based rendering techniques\n                have been used.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
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        "authors": [
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            381,
            382,
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        ],
        "number": "TR-186-2-00-13",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "visualization system",
            "virtual endoscopy",
            "medical visualization"
        ],
        "weblinks": [],
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    {
        "id": "Vilanova-2000-CAT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cylindrical Approximation of Tubular Organs for Virtual Endoscopy",
        "date": "2000-02",
        "abstract": "Virtual endoscopy is a promising medical application of volume visualization techniques. A virtual endoscopy system requires high\nquality and perspective projection rendering, as well as real-time navigation. In this paper the generation of a cylindrical\nstructure for tubular shaped organs (i.e. colon, aorta) is presented. This structure represents an approximation of the real\norgan. The cylindrical structure will be used to accelerate high quality volume rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
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        "authors": [
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        "number": "TR-186-2-00-02",
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        "research_areas": [],
        "keywords": [
            ""
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        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-CAT/",
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    },
    {
        "id": "Vilanova-2000-Cyl",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cylindrical Approximation of Tubular Organs for Virtual Endoscopy",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197,
            459
        ],
        "note": "Proceedings of Computer Graphics and Imaging 2000, IASTED/ACTA Press, 2000, pp. 283-289",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-Cyl/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-2000-Mas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Interactive Virtual Bronchioscopy on a Low-End PC",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            95,
            165,
            166,
            381,
            382,
            459
        ],
        "note": "IEEE Visualization 2000 Proceedings, 2000, pp. 461-464",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Wegenkittl-2000-Mas/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-1999-VirX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "VirEn: A Virtual Endoscopy System",
        "date": "1999-03",
        "abstract": "Virtual endoscopy systems are promising tools for the\nsimplification of daily clinical procedures. In this paper, a\nconceptual framework for a virtual endoscopy system (VirEn) is\nproposed, which is intended to be a highly interactive system.\nResearch efforts have concentrated on the generation of an\noptimal path for the automated navigation of the data set.\nExtensions to existing thinning algorithms used to generate the\noptimal path are presented and discussed. First results produced\nwith VirEn are shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            197,
            166
        ],
        "number": "TR-186-2-99-06",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Thinning",
            "Navigation",
            "Virtual Endoscopy",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
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                "description": null,
                "filetitle": "paper",
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        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Vilanova-1999-VirX/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-1999-Vir",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "VirEn: A Virtual Endoscopy System.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
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        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
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            459
        ],
        "note": "Journal Machine Graphics & Vision, Vol 8(3), 1999, pp. 469-487.",
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        "weblinks": [],
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        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Vilanova-1999-Vir/",
        "__class": "Publication"
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