Nonrigid Registration of 3D Scalar Vector and Tensor Medical Data

J. Ruiz-Alzola, C.-F. Westin, S. K. Warfield, A. Nabavi, R. Kikinis
Proceedings of MICCAI 2000, Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages 541-550
October 11-14, 2000

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Abstract

New medical imaging modalities offering multi-valued data, suchas phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized algorithms. In this paper we propose a unified framework for the registration of medical volumetric multi-valued data. The paper extends the usual concept of similarity in intensity (scalar) data to vector and tensor cases. A discussion on appropriate template selection and on the limitations of the template matching approach to incorporate the vector and tensor reorientation is also offered. Our approacht o registration is based on a multiresolution scheme based on local matching of areas with a high degree of local structure and subsequent interpolation. Consequently we provide an algorithm to assess the amount of structure in generic multi-valued data by means of gradient and correlation computations. The interpolation step is carried out by means of the Kriging estimator that outperforms conventional polynomial methods for the interpolation of sparse vector fields. The feasibility of the approach is illustrated by results on synthetic and clinical data.

DT-MRI interpatient warping. a, b) Axial DTMRI ofdiffer ent individuals. c) zoomed T2W of the posterior corpus of a) and estimated deformation.

Reference

Ruiz-Alzola J, Westin CF, Warfield SK, Nabavi A, Kikinis R. Nonrigid registration of 3d scalar vector and tensor medical data. In AM DiGioia, S Delp, eds., Proceedings of MICCAI 2000, Third International Conference on Medical Image Computing and Computer-Assisted Intervention. Pittsburgh, 2000;541-550.

Bibtex entry

@InProceedings{ruiz-alzolaMICCAI00,
  author         = {J. Ruiz-Alzola and C.-F. Westin and S. K. Warfield and A.  
                   Nabavi  and R. Kikinis},                                    
  title          = {Nonrigid Registration of 3D Scalar Vector and Tensor       
                   Medical Data},                                              
  booktitle      = {Proceedings of MICCAI 2000, Third International Conference 
                   on Medical Image Computing and Computer-Assisted            
                   Intervention},                                              
  pages          = {541--550},                                                 
  editor         = {A. M. DiGioia and S. Delp},                                
  year           = 2000,                                                       
  address        = {Pittsburgh},                                               
  month          = {October 11--14}
}

Grants

NIH P41-RR13218 (NAC)

Research areas

DTMRI, Tensor

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