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visualization - Volume Visualization SNU CG&MI 2008 9 1...

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1 1 Volume Visualization 신영길 SNU CG&MI 2008. 9 2 Introduction Visualization : The use of computer- supported, interactive, visual representations of data to amplify cognition Scientific Visualization : visualization of physically based data Information Visualization : visualization of abstract data
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2 3 Scientific Visualization 4 Information Visualization
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3 5 5 Why Visualize Data? Visualization Amplifies Cognition Increased Resources Reduced Search Enhanced Recognition of Patterns Perceptual Inference Perceptual Monitoring Manipulable Medium 6 6 Molecular Modeling Gain insight into chemical complexity Raster equipments to create realistic representation and animations Vector equipments for real time display and interaction Medical Imaging Diagnostic medicine, Surgical planning, Radiation treatment planning 2D/3D visualizations of the body previously inaccessible to view Applications(1/4)
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4 7 7 Brain Structure and Functions Determine the positions and shape of difficult- to-identify organs Obtain information about the anatomical position of the suspected lesions Mathematics Visualization helps mathematicians understand complex equations Applications(2/4) 8 8 Astrophysics See the unseen and create visual paradigms for phenomena that have no known visual representation Visualization numerical relativity equations Computational Fluid Dynamics Describe the flow of a fluid or gas with magnetic fields Finite Element Analysis Calculate stress/strain distribution Applications(3/4)
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5 9 9 Geosciences (Meteorology) Helps understand the atmospheric conditions that breed large and violent tornadoes Obtain information that cannot be safely observed Space Exploration Integrate huge amount of observed phenomena and theory from other fields involved in planetary study Applications(4/4) 10 Medical Applications of Visualization & Image Processing CT MR PET CONFOCAL TEM MDCT 4D
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6 11 AAA, Stent-graft Design 12 Capability of Radiologist
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7 13 Evolution of spiral CT scanner Detector row 1 4 16 64 128 256 Rotation/s 1 2 2.4 2.5 1 1 Pitch 0.5 0.5 0.5 0.2 0.2 0.375 Scan time (sec) 200 25 10 10 4 4 (2mm thick.) 3D Recon. time (min) 108 7 2 1.5 1 1 (1mm spacing) Coverage: 100 cm # of images: 1000 14
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8 15 Need of 3D imaging Need 3D imaging Data overload due to multi-slice CT/MR Limitations of diagnosis by radiologist according to a large of amount of images Additional cost due to filming of a large of amount of images 16
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