Tensor Splats: Visualising Tensor Fields by Texture Mapped Volume Rendering

A. Bhalerao, C.-F. Westin
CIMIT, Montreal, Canada
Sixth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'03)
Pages 294-901
November, 2003

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Abstract

We describe a new method for visualising tensor fields using a textured mapped volume rendering approach, tensor-splatting. We use an image order method to calculate the 2D Gaussian splats or footprints of the projected 3D Gaussians at an arbitrary number of standard deviations from the centroid. These footprints are then mapped and composited front to back to the view plane by texture mapping within the framebuffer pipeline to effect a volume rendering. One of the features of tensor-splatting is that opacity transfer control, which can be used to emphasise the tensor shape, can be achieved trivially by hardware acceleration because it requires only remapping the opacity and colour of the composited texture splats. We illustrate our method on MR diffusion weighted tensor data.

Model selection by AIC on HvMF mixtures: (a) Single tensor estimates in small region on white-matter/CSF boundary; (b) HvMF estimates in same boundary region as in (a)

Reference

Bhalerao A, Westin CF. Tensor splats: Visualising tensor fields by texture mapped volume rendering. In Sixth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'03). Montreal, Canada, 2003;294-901.

Bibtex entry

@InProceedings{bhaleraoMICCAI03,
  author         = {A. Bhalerao and C.-F. Westin},                             
  title          = {Tensor Splats: Visualising Tensor Fields by Texture Mapped 
                   Volume  Rendering},                                         
  booktitle      = {Sixth International Conference on Medical Image Computing  
                   and  Computer-Assisted Intervention (MICCAI'03)},           
  pages          = {294--901},                                                 
  year           = 2003,                                                       
  address        = {Montreal, Canada},                                         
  month          = {November}
}

Grants

NIH P41-RR13218 (NAC)

Research areas

DTMRI, Tensor

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