Visually Guided Mesh Smoothing for Medical Applications (English)

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Surface models derived from medical image data often exhibit artifacts, such as noise and staircases, which can be reduced by applying mesh smoothing filters. Usually, an iterative adaption of smoothing parameters to the specific data and continuous re-evaluation of accuracy and curvature is required. Depending on the number of vertices and the filter algorithm, computation time may vary strongly and interfere with an interactive mesh generation procedure. In this paper, we present an approach to improve the handling of mesh smoothing filters. Based on a GPU mesh smoothing implementation, model quality is evaluated in real-time and provided to the user as quality graphs to support the mental optimization of input parameters. Moreover, this framework is used to find optimal smoothing parameters automatically and to provide data-specific parameter suggestions.

Table of contents conference proceedings

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1
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9
Tractography in Context: Multimodal Visualization of Probabilistic Tractograms in Anatomical Context
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17
Synaptic Connectivity in Anatomically Realistic Neural Networks: Modeling and Visual Analysis
Dercksen, Vincent J. / Egger, Robert / Hege, Hans-Christian / Oberlaender, Marcel | 2012
25
Geometrical-Acoustics-based Ultrasound Image Simulation
Law, Yuen C. / Knott, Thomas / Hentschel, Bernd / Kuhlen, Torsten | 2012
33
Impact of Physical Noise Modeling on Image Segmentation in Echocardiography
Tenbrinck, Daniel / Sawatzky, Alex / Jiang, Xiaoyi / Burger, Martin / Haffner, Wladimir / Willems, Patrick / Paul, Matthias / Stypmann, Jörg | 2012
41
Lowest-Variance Streamlines for Filtering of 3D Ultrasound
Soltészová, Veronika / Helljesen, Linn Emilie Sævil / Wein, Wolfgang / Gilja, Odd Helge / Viola, Ivan | 2012
49
On the Value of Multi-Volume Visualization for Preoperative Planning of Cerebral AVM Surgery
Weiler, Florian / Rieder, Christian / David, Carlos A. / Wald, Christoph / Hahn, Horst K. | 2012
57
Combining B-Mode and Color Flow Vessel Segmentation for Registration of Hepatic CT and Ultrasound Volumes
Keil, Matthias / Laura, Cristina Oyarzun / Drechsler, Klaus / Wesarg, Stefan | 2012
65
From Imprecise User Input to Precise Vessel Segmentations
Diepenbrock, Stefan / Ropinski, Timo | 2012
73
Sketch-based Image-independent Editing of 3D Tumor Segmentations using Variational Interpolation
Heckel, Frank / Braunewell, Stefan / Soza, Grzegorz / Tietjen, Christian / Hahn, Horst K. | 2012
81
Interactive Residual Stress Modeling for Soft Tissue Simulation
Wu, Jun / Bürger, Kai / Westermann, Rüdiger / Dick, Christian | 2012
91
Visually Guided Mesh Smoothing for Medical Applications
Moench, Tobias / Kubisch, Christoph / Lawonn, Kai / Westermann, Ruediger / Preim, Bernhard | 2012
99
BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization
Dixhoorn, André F. van / Milles, Julien R. / Lew, Baldur van / Botha, Charl P. | 2012
107
Deriving and Visualizing Uncertainty in Kinetic PET Modeling
Nguyen, Khoa Tan / Bock, Alexander / Ynnerman, Anders / Ropinski, Timo | 2012
115
Visualization and Exploration of 3D Toponome Data
Oeltze, Steffen / Klemm, Paul / Hillert, Reyk / Preim, Bernhard / Schubert, Walter | 2012
123
Atomistic Visualization of Mesoscopic Whole-Cell Simulations
Falk, Martin / Krone, Michael / Ertl, Thomas | 2012
131
Constrained Labeling of 2D Slice Data for Reading Images in Radiology
Mogalle, Katja / Tietjen, Christian / Soza, Grzegorz / Preim, Bernhard | 2012
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