A Novel Gauss-Markov Random Field Approach for Regularization of Diffusion Tensor Maps

M. Martin-Fernandez, R. San Jose Estepar, C.-F. Westin, C. Alberola-Lopez
Abstracts of the Ninth International Conference on Computer Aided Systems Theory (EUROCAST'03)
Pages 29-32
February 24-28, 2003

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Abstract

Figure 1(c) and 1(d) show the Frobenius norms of the original and processed tensors. respectively. These representations highlight the smoothing capability of our algorithm, and its ability to retain the main features of the tensor map.

Reference

Martin-Fernandez M, San Jose Estepar R, Westin CF, Alberola-Lopez C. A novel gauss-markov random field approach for regularization of diffusion tensor maps. In Abstracts of the Ninth International Conference on Computer Aided Systems Theory (EUROCAST'03). Las Palmas de Gran Canaria, Spain, 2003;29-32.

Bibtex entry

@InProceedings{martin-fernandezEUROCAST03b,
  author         = {M. Martin-Fernandez and R. {San Jose Estepar} and  C.-F.   
                   Westin and C. Alberola-Lopez},                              
  title          = {A Novel Gauss-Markov Random Field Approach for             
                   Regularization of  Diffusion Tensor Maps},                  
  booktitle      = {Abstracts of the Ninth International Conference on Computer
                   Aided Systems Theory (EUROCAST'03)},                        
  pages          = {29--32},                                                   
  month          = {February 24--28},                                          
  year           = {2003},                                                     
  address        = {Las Palmas de Gran Canaria, Spain},                        
  note           = {}
}

Grants

TIC2003-3808-C02, JCYL VA91-01