Detail enhancement in volume rendering

Aiming at detail enhancement in volume rendering, a new volume illumination model, called Composed Scattering Model (CSM), is presented. In order to enhance different details in data, scattering intensity is decomposed into volume scattering intensity and surface scattering intensity, and composed with boundary detection operators. CSM can generate images containing more details than current volume rendering models. This model has been applied to the direct volume rendering of 3D data sets obtained by CT and MRI. The resultant images show not only rich details but also clear boundary surfaces. CSM is demonstrated as an accurate volume rendering model suited for detail enhancement in volume data set.

[1]  Akira Ishimaru,et al.  Wave propagation and scattering in random media , 1997 .

[2]  Paolo Sabella,et al.  A rendering algorithm for visualizing 3D scalar fields , 1988, SIGGRAPH.

[3]  Nelson Max,et al.  Light diffusion through clouds and haze , 1986, Comput. Vis. Graph. Image Process..

[4]  James F. Blinn,et al.  Light reflection functions for simulation of clouds and dusty surfaces , 1982, SIGGRAPH.

[5]  W. Krueger.  Volume rendering and data feature enhancement , 1990, VVS.

[6]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[7]  Heinrich Müller,et al.  Surface Interpolation from Cross Sections , 1991, Focus on Scientific Visualization.

[8]  Bernd Hamann,et al.  The asymptotic decider: resolving the ambiguity in marching cubes , 1991, Proceeding Visualization '91.

[9]  Edward J. Farrell,et al.  Color Display and Interactive Interpretation of Three-Dimensional Data , 1983, IBM J. Res. Dev..

[10]  SabellaPaolo.  A rendering algorithm for visualizing 3D scalar fields , 1988 .

[11]  Tianzhou Chen,et al.  Adaptive algorithm for edge detection in medical image processing , 1995, Electronic Imaging.

[12]  Andreas Pommert,et al.  3D visualization of tomographic volume data using the generalized voxel model , 1990, VVS '89.

[13]  Georgios Sakas,et al.  Sampling and anti-aliasing of discrete 3-D volume density textures , 1991, Comput. Graph..

[14]  Lambertus Hesselink,et al.  Digital Reconstruction Methods For Three-Dimensional Image Visualization , 1984, Optics & Photonics.