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Gradient Free Visualization with Multiple Light Approximates MMVR2013 ked

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My presentation of Mmvr2013.

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Page 1: Gradient free

Gradient Free Visualization with Multiple Light Approximates

MMVR2013

ked

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The difficulties of MRI visualization

The rendering results of Phong shading

CT vis. MRI vis.

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Attributed to unreliable gradient

Caused by Noise Numerical errors

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Unreliable gradient

Caused by Noise Numerical errors

Org. Estimated gradient

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Unreliable gradient

Occurs in the region of low magnitude Affected by noise

Org. Estimated gradient

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Traditional visualization

Depends on gradient information Noisy rendering result

Org. Estimated gradient Phong shading

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Gradient-free visualization

Gets rid of the tricky estimation Improves the quality

Org. Estimated gradient Phong shading

Gradient-free

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Two pass approach

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Our method: the first pass

Off-line processing Accumulates attenuation maps for orthogonal

directions

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Our method: the second pass

Real-time interaction Lights are linearly interpolated to approximate the

contribution of attenuation maps

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Derived from

Integral of volume rendering

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Derived from

Integral of volume rendering

Color Attenuation

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Attenuation map:pre-computed summation Integral for volume rendering

+xSmoothing function

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Attenuation map:opposite direction Integral for volume rendering

-x +xvmax

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6 orthogonal att. maps

-x +x

+y

-y-z

+z

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Approximation of a light

Tx

Ty

D

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Multiple light sources

Summation of contribution

from each light

Shading = lighting x color

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Global attenuation factor

Att. factor

Small: uniform lighting Large: surface enhancement

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Lighting results

Lighting can improve spatial perception Our approach provides more details

No lighting Z lighting 3-point + head lights

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Explorative model: plane cutting

Before After

Voxel of the cutting plane

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Explorative models: modified MIP

Rewrites the integral of volume rendering

Spatial information is majorly provided by the lighting

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Explorative models: modified MIP

Similar to the effect of MIP Contains more spatial information

Org.

Modified MIP

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Experiments

Dataset Data resolution

Att. map resolution

Pre-computing(s)No avg. / avg.

Real-timeFPS

MRI brain 256x256x109 200x200x170 6 / 16 12.5

CT head 256x256x113 200x200x177 7 / 17 9.1

CT chest 384x384x240 200x200x125 5 / 13 10.0

Acer Aspire 8950G 2GHz Quad Core CPU 4G memory AMD RadeonHD 850M GPU

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Demo

http://www.youtube.com/watch?v=2rois9seJDw http://www.youtube.com/watch?v=ZsZAcTGDyuA

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The other results

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Thx.