Nonridgid Registration using Regularized Matching Weighted by Local Structure

E. Suarez, C.-F. Westin, E. Rovaris, J. Ruiz-Alzola
MICCAI, Tokyo, Japan
Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'02)
Pages 581-589
2002

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Abstract

We present a novel approach to nonrigid registration of volumetric multimodal medical data. We propose a new regularized template matching scheme, where arbitrary similarity measures can be embedded and the regularization imposes spatial coherence taking into account the quality of the matching according to an estimation of the local structure. We propose to use an efficient variation of weighted least squares termed normalized convolution as a mathematically coherent framework for the whole approach. Results show that our method is fast as accurate.

MRI T1-weighted axial slice of human brain and its structure tensors. The brighter the gray level of the ellipsoids the higher the structure.

Reference

Suarez E, Westin CF, Rovaris E, Ruiz-Alzola J. Nonridgid registration using regularized matching weighted by local structure. In Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'02). Tokyo, Japan, 2002;581-589. Best paper award.

Bibtex entry

@InProceedings{suarezMICCAI02,
  author         = {E. Suarez and C.-F. Westin and E. Rovaris and J.           
                   Ruiz-Alzola},                                               
  title          = {Nonridgid Registration using Regularized Matching  Weighted
                   by Local Structure},                                        
  booktitle      = {Fifth International Conference on Medical Image Computing  
                   and  Computer-Assisted Intervention (MICCAI'02)},           
  pages          = {581--589},                                                 
  year           = 2002,                                                       
  address        = {Tokyo, Japan},                                             
  note           = {Best paper award}
}

Grants

NIH P41-RR13218 (NAC), CIMIT, FPI AP98-52835909, TIC2001-3808-C02

Research area

Registration

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