Anisotropic Interpolation of DT-MRI Data

C. A. Castano-Moraga, M. A. Rodrigues-Florido, L. Alvarez, C.-F. Westin, J. Ruiz-Alzola
Seventh International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'04)
Pages 343-350
September, 2004

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Abstract

Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, we present a new technique to interpolate the diffusion tensor field, preserving boundaries and the constraint of positive-semidefiniteness. Our approach is based on the use of the inverse of the local structure tensor as a metric to compute the distance between the samples and the interpolation point. Interpolation is an essential step in managing digital image data for many different applications. Results on resampling (zooming) synthetic and clinical DTMRI data are used to illustrate the technique. This new scheme provides a new framework for anisotropic image processing, including applications on filtering, registration or segmentation.

DT-MRI 64 x 64 slice of the corpus callosum superposed over the corresponding MRI T2 image (left) and a zoomed part of the central area (right).

Reference

Castano-Moraga CA, Rodrigues-Florido MA, Alvarez L, Westin CF, Ruiz-Alzola J. Anisotropic interpolation of DT-MRI data. In Seventh International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'04), Lecture Notes in Computer Science. Rennes - Saint Malo, France, 2004;343-350.

Bibtex entry

@InProceedings{castano-moragaMICCAI04,
  author         = {C. A. Castano-Moraga and M. A. Rodrigues-Florido and L.    
                   Alvarez and  C.-F. Westin and J. Ruiz-Alzola},              
  title          = {Anisotropic Interpolation of {DT-MRI} Data},               
  booktitle      = {Seventh International Conference on Medical Image Computing
                   and  Computer-Assisted Intervention (MICCAI'04)},           
  series         = {Lecture Notes in Computer Science},                        
  pages          = {343-350},                                                  
  year           = {2004},                                                     
  address        = {Rennes - Saint Malo, France},                              
  month          = {September}
}

Grants

NIH P41-RR13218 (NAC), NSF ERC-8810274, TIC2001-3808-C02

Research areas

DTMRI, Tensor

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