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"note": "In conference proceedings of the 9th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001, WSCG'2001, University of West Bohemia, Pilsen, Czech Republic, Vaclav Skala (ed.), February 2001, vol. 1, p. 17-24, ISBN 80-7082-711-2",
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"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.",
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"title": "Mastering Transfer Function Specification by using\nVolumePro Technology",
"date": "2000-03",
"abstract": "A new user-interface paradigm for the specification of\ntransfer functions is presented. The specification is usually a\ndifficult task as mapping information for a number of different domains\n(data range, color, opacity, etc.) has to be defined.\nIn the presented approach, the definition of the mapping information can\nbe realized independently for each property domain. A\nset of specification tools is provided for each domain, enabling users\nwith different levels of experience or demanding\ntime restrictions to choose an appropriate approach for their needs.\nReal-time feedback during the manipulation of parameters\nhas been proven to be crucial to the specification. An interactive\ndirect-volume-rendering display is realized by utilizing dedicated\nhardware acceleration.\n",
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"title": "Gradient Estimation in Volume Data using 4D Linear Regression",
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"abstract": "In this paper a new gradient estimation method is\npresented which is based on linear regression. Previous contextual\nshading techniques try to fit an approximate function to a set of surface\npoints in the neighborhood of a given voxel. Therefore, a system\nof linear equations has to be solved using the computationally\nexpensive Gaussian elimination. In contrast, our method\napproximates the density function itself in a local neighborhood with a 3D\nregression hyperplane. This approach also leads to a system of linear\nequations but we will show that it can be solved with an efficient convolution.\nOur method provides at each voxel location the normal vector and\nthe translation of the regression hyperplane which are considered as a\ngradient and a filtered density value respectively. Therefore, this\ntechnique can be used for surface smoothing and gradient estimation at\nthe same time. ",
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"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.",
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"abstract": "Maximum Intensity Projection (MIP) is a volume\nrendering technique\nwhich is used to extract high-intensity structures from volumetric\nscalar data. At\neach pixel the highest data value encountered along the\ncorresponding viewing ray is determined. MIP is commonly used to\nextract vascular\nstructures from medical MRI data sets, i.e., angiography. The usual way\nto\ncompensate for the loss of spatial and occlusion information in MIP\nimages\nis to view the data from different view points by rotating them. As the\ngeneration of a MIP is usually non-interactive, this is done by\ncalculating\nmultiple images offline and playing them back as an animation.\n\nIn this paper a novel algorithm is proposed which is capable of\ninteractively\ngenerating Maximum Intensity Projection images even on low-end\nhardware using parallel\nprojection. Two methods for preprocessing data and removing voxels\nwhich will due to their neighborhood never contribute\nto a MIP are discussed. The remaining voxels are stored in\na way which guarantees\noptimal cache coherency regardless of the viewing direction. For use\non low-end hardware, a preview-mode is included which renders only the\nmore significant parts of the volume during user interaction.\nFurthermore\nwe demonstrate the usability of our data\nstructure for extensions of the MIP technique like MIP with\ndepth-shading and Local Maximum Intensity Projection (LMIP).",
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"title": "AlVis - An Aluminium-Foam Visualization and\nInvestigation Tool",
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"abstract": "Highly elaborated visualization techniques that are based on\nsurfaces often are independent from the origin of the surface data.\nNevertheless, most of the recently presented advanced visualizatio\nmethods were developed\nfor a specific type of surface although principally applicable\nto generic surfaces. In this paper we discuss a unified surface\ninterrogation model which provides generic access to surface\nproperties up to degree two, i.e., surface-point locations,\nnormals, and curvature properties, regardless of the origin\nof the surface. Surface types and interrogation algorithms\nare compared and summarized. At the end of this paper we present\n an object-oriented implementation of this model, called {\\sc{}Smurf",
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"title": "Fast Surface Rendering of Volumetric Data",
"date": "1999-05",
"abstract": "In this paper a new direct volume-rendering method is\npresented for fast display of iso-surfaces. In order\nto reduce the data to be processed, the algorithm\neliminates those voxels which are invisible from a\nspecific domain of viewing directions. The remaining\nsurface points are stored in an appropriate data\nstructure optimized for fast shear-warp projection.\nThe proposed data structure also supports the\napplication of cutting planes in order to visualize\nthe internal part of the volume as well. Unlike many\nother surface-oriented techniques, the presented method\ndoes not trade image quality for speed. It does not\nrequire any specialized hardware either to achieve\ninteractive frame rates, thus it can be widely used in\n medical imaging applications even on low end hardware.",
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"title": "Real-Time Maximum Intensity Projection",
"date": "1999-04",
"abstract": "Maximum Intensity Projection (MIP) is a volume\nrendering technique\nwhich is used to extract high-intensity structures from volumetric data.\nAt\neach pixel the highest data value encountered along the\ncorresponding viewing ray is determined. MIP is commonly used to\nextract vascular\nstructures from medical MRI data sets (angiography). The usual way to\ncompensate for the loss of spatial and occlusion information in MIP\nimages\nis to view the data from different view points by rotating them. As the\ngeneration of MIP is usually non-interactive, this is done by\ncalculating\nmultiple images offline and playing them back as an animation.\n\nIn this paper a new algorithm is proposed which is capable of\ninteractively\ngenerating Maximum Intensity Projection images using parallel\nprojection and templates. Voxels of the data set\nwhich will never contribute to a MIP due to their neighborhood are\nremoved during a preprocessing\nstep. The remaining voxels are stored in a way which guarantees\noptimal cache coherency regardless of the viewing direction. For use\non low-end hardware, a preview-mode is included which renders only\nmore significant parts of the volume during user interaction.\nFurthermore\nwe demonstrate the usability of our data\nstructure for extensions of the MIP technique like MIP with\ndepth-shading and Local Maximum Intensity Projection (LMIP).",
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"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.",
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"title": "Multiple Views and Magic Mirrors - fMRI Visualization of the Human Brain",
"date": "1999-02",
"abstract": "Multimodal visualization of functional and anatomical\ndata of the human brain is an important field in medical volume\nvisualization. The aim of this application is to provide\nthe user with information on the location of functional\nactivations in the different regions of the brain. When the approach of\ndirect volume rendering is chosen, the visual impression of details\nusually suffers from accumulating the image from colors and\nopacities derived from the data set. We present extensions to\novercome this problem: \\emph{Transfer function volumes} are used for\nthe highlighting of activated regions. \\emph{Multiple views",
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"title": "Fast Maximum Intensity Projection using Binary Shear-Warp\nFactorization",
"date": "1999-01",
"abstract": "This paper presents a fast maximum intensity projection\ntechnique based on binary shear-warp factorization. The\nproposed method divides the density domain into a small\nnumber of intervals, and to each interval a binary code\nrepresentation is assigned. In a preprocessing step, an\nadditional volume is created which contains for each voxel\nthe code of the interval enclosing the given voxel density.\nWe present an appropriate data structure for storing this\nvolume and an efficient lookup table technique which can\nbe used to rapidly access a voxel of a certain density code.\nThe volume is efficiently resampled along viewing rays only\nin voxels where the densities reside in the interval which\n contains the appropriate maximum value.",
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"note": "N.M. Thalmann, V. Skala (eds.),
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"tu_id": null,
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"title": "VirEn: A Virtual Endoscopy System.",
"date": "1999",
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"note": "Journal Machine Graphics & Vision, Vol 8(3), 1999, pp. 469-487.",
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"title": "Real-Time Maximum Intensity Projection.",
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"note": "E.Gröller, H. Löffelmann, B. Ribarsky (eds.),
Data Visualization'99, Springer Wien, pp.135-144. Revised version \"Maximum Intensity Projection at Warp Speed\" to be published in the Journal Computers & Graphics, June 2000.",
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"title": "SMURF a Smart Surface model for advanced visualization techniques",
"date": "1999",
"abstract": null,
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175,
197,
399
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"note": "N.M. Thalmann, V. Skala (eds.),
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"title": "Multiple Views and Magic Mirrors - fMRI Visualization of the Human Brain.",
"date": "1999",
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197,
212
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"note": "Proceedings of Spring Conference on Computer
Graphics and its Applications 1999 (SCCG'99), Budmerice, Slovakia, April 28th.-May 1st, 1999, pp. 130-139.",
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"title": "Smurf -- a Smart surface model\n\tfor advanced visualization techniques",
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"abstract": "Highly elaborated visualization techniques that are based on surfaces often are independent from the origin of the surface data. For re-using advanced visualization methods for surfaces of various kind, we developed an abstract surface interrogation layer called Smurf. In this paper we discuss the steps necessary to unify multiple types of surfaces under a shared general purpose interface.",
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"id": "Castro-1998-TFS",
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"title": "Transfer Function Specification for the Visualization of\n Medical Data",
"date": "1998-03",
"abstract": "The application of transfer functions to map data\nvalues to visual properties as, e.g., color and opacity, is\na crucial step in direct volume rendering. Due to the\ncomplex relationship between the transfer function and the\nresulting image it is usually extremely difficult to model\nan appropriate mapping. In this paper we present an\nadvanced transfer function specification scheme for the\nvisualization of medical data. The concept of metadata is\nused to make the modeling of transfer functions more\nintuitive. A small number of parameters is sufficient to\ncompletely describe a transfer function, thus this\nspecification scheme is suitable for (semi-)automated search\n techniques.",
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"title": "Real Time Simulation and Visualization of NC Milling\nProcesses for Inhomogeneous Materials on Low-End Graphics Hardware",
"date": "1998-01",
"abstract": "Simulation and visualization of NC milling processes\nhas become an\nimportant step in computer aided manufacturing. The usage of stock\nmaterials with specific locally varying properties (like density,\naccuracy, color, ...) becomes more and more important with new\ntechnologies emerging in the material industry. Our new approach,\nusing volumetric representation, has been adapted to this needs and\ncopes with inhomogeneous material properties. Taking color as one\npossible material property, our approach enables the visualization\nof milled wood or compound materials.\nFurthermore, our approach has been developed with the usage of\nlow-end graphics hardware in mind. The algorithms have been\noptimized to ensure interactive update rates even on standard\npersonal computers without hardware graphics acceleration.",
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"title": "Real Time Simulation and Visualization of NC Milling Processes for Inhomogeneous Materials on Low-End Graphics Hardware, In F.-E",
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"note": "Wolters, N. M. Patrikalakis (eds.), Proceedings of CGI'98 (Computer Graphics International), IEEE Computer Society, Hannover, Germany, June 22-26, 1998, pp. 338-349.",
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{
"id": "Loeffelmann-1997-FV2",
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"title": "Fast Visualization of 2D Dynamical Systems\n by the use of Virtual Ink Droplets",
"date": "1997-04",
"abstract": "This paper presents a new visualization technique for\nflow fields in 2D. It utilizes a physical model of smearing ink over a\nsheet of paper as an intuitive metaphor for the representation of a\ndynamical system. This technique is capable of producing images that are\ncomparable to those generated with line integral convolution (LIC),\nwhich is a well-known and established visualization technique for planar\nvector fields. Similar to oriented line integral convolution (OLIC), an\nextension to LIC, the virtual ink droplet method is capable of\nvisualizing not only direction and velocity of flow (as LIC does), but\nalso the orientation of vectors. The main advantage of the new method\nis, that animation sequences, which intuitively represent the dynamics\ninduced by the underlying dynamical system, can be computed much more\nefficiently than by the use of LIC or OLIC. A speed-up of about 200 is\nusually achieved when virtual ink droplets are used instead.",
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