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3D Volume Visualization

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Title: Signal-Theoretic Representations of Appearance Author: Ravi Ramamoorthi Last modified by: bongbong Created Date: 2/11/1999 12:43:51 AM Document presentation format – PowerPoint PPT presentation

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Title: 3D Volume Visualization


1
3D Volume Visualization
2
Volume Graphics
  • Maintains a 3D image representation that is close
    to the underlying fully-3D object (but discrete)
  • ????(Boundary Surface)?? ??? ? ?? ???? ????
    ?????? ??

N x 2D arraies 3D
array
3
Input Data 3D Images (Volumetric Image)
  • it is a 3D array of point samples, called voxels
    (volume elements)
  • the point samples are located at the grid points
  • the process of generating a 2D image from the 3D
    volume is called volume rendering

4
Data Acquisition
  • Scanned Data
  • CT
  • MRI
  • Ultrasound
  • Electron Microscopy
  • Simulated Data

5
Volume Visualization Methods
  • Volume Rendering
  • Ray casting
  • Isosurface Extraction
  • triangulation

6
Volume Rendering (Basic Idea)
Based on the idea of ray tracing
  • Trace from each pixel as a ray into object space
  • Compute and accumulate color/opacity value along
    the ray
  • Assign the value to the pixel

7
Transfer Function
  • Maps voxel data values to optical properties
  • Color/opacity map
  • Emphasize or classify features of interest in the
    data

8
Raycasting
volumetric compositing
color
opacity
object (color, opacity)
9
Raycasting
Interpolationkernel
volumetric compositing
color
opacity
1.0
object (color, opacity)
10
Raycasting
Interpolationkernel
volumetric compositing
color c c s ?s(1 - ?) c
opacity ? ? s (1 - ?) ?
object (color, opacity)
11
Raycasting
volumetric compositing
color
opacity
1.0
object (color, opacity)
12
Raycasting
volumetric compositing
color
opacity
1.0
object (color, opacity)
13
Raycasting
volumetric compositing
color
opacity
1.0
object (color, opacity)
14
Raycasting
volumetric compositing
color
opacity
1.0
object (color, opacity)
15
Raycasting
volumetric compositing
color
opacity
object (color, opacity)
16
Volume Ray Marching
  • Raycast once per pixel
  • Sample uniform intervals along ray
  • Interpolate trilinear interpolate, apply
    transfer function
  • Accumulate integrate optical properties

17
Composition (alpha blending)
18
3D Texture Based Volume Rendering
19
Use Image-space axis-aligned slicing plane
the slicing planes are always parallel to the
view plane
20
Isosurface
  • Isosurface (i.e. Level Set )
  • C(w) x F(x) - w 0
  • ( w isovalue , F(x) real-valued function ,
    usually 3D volume data )

isosurfacing
21
?? CT ?? ?? ???? F(x,y,z)
?? ?? ??? w ?? ???
??? ?? F(x,y,z)w
??? ??? w ? ???
22
Marching Cubes
  • Lorensen and Cline, ACM SIGGRAPH 87
  • Goal
  • Input 2D/3D/4D imaging data (scalar)
  • Interactive parameter isovalue selection
  • Output Isosurface triangulation

isosurfacing
23
Surface Intersection in a Cube
  • assign ZERO to vertex outside the surface
  • assign ONE to vertex inside the surface
  • Note
  • Surface intersects those cube edges where one
    vertex is outside and the other inside the surface

24
Surface Intersection in a Cube
  • There are 28256 ways the surface may intersect
    the cube
  • Triangulate each case

25
Marching Cubes Table
  • Using symmetries reduces 256 cases into 15 cases

ltwrong surfacegt
26
Surface intersection in a cube
  • Create an index for each case
  • Interpolate surface intersection along each edge

27
Calculating normals
  • Calculate normal for each cube vertex
  • Interpolate the normals at
  • the vertices of the triangles

28
Problems in Marching Cubes
  • May Generate very large meshes
  • Simplification
  • Can we generate 3D mesh?
  • Interval Volume Tetrahedrization
  • Computationally Slow
  • Acceleration techniques , CUDA
  • Ambiguity problem
  • Trilinear isosurface
  • How to select isovalue?
  • Contour spectrum

29
Problems in Marching Cubes
  • How to preserve sharp features?
  • Dual contouring
  • Hard to deal with extremely large volume data
  • Parallel
  • Out-of-core
  • Segmenting Isosurface Components?
  • Contour Tree
  • Volume Structure
  • Contour Tree , Morse Complex

30
Comparison
  • Volume Rendering
  • ??? ??? ?? 3D?? ??? 2D??? ???
  • ??? ???? ?? ??? ????? ???
  • Transfer function? ??? ?? ?? ??? quality? ?? ???
    ? ????, ??? ??? ??? ?.
  • Isosurface Extraction
  • Triangulation? ?? ??? Surface Mesh ???? ??(fast
    rendering, shading, ?)? ??
  • ??? isosurface? ?? ??? ???? ?? ??? ??? isovalue??
    ??? ?? ??? ???.

31
Visualization SW
  • Volume Rover
  • http//www.cs.utexas.edu/bajaj/cvc/software/volro
    ver.shtml

Transfer function
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