Registration of multi-dimensional image data via sub-pixel resolution phase correlation

W. S. Hoge, D. Mitsouras, F. R. Rybicki, R. V. Mulkern, C.-F. Westin
ICIP, Barcelona, Spain
IEEE Intl. Conf. on Image Processing (ICIP-03)
Pages 707-710
2003

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Abstract

This method is an extension of the phase correlation method for image registration to multi-dimensional data sets. Through use of a high-order singular value decomposition, phase correlation can be used to identify translational displacements independently along each dimension with subpixel resolution. The validity of this approach is demonstrated using multiple 3D MRI data sets.

Images reconstructed from a single 3D data set compared to full resolution data merged from three data sets. Images in the left column are formed from a single 128 x 128 x 32 data set with low resolution along the left-right axis. Images in the center column are formed after registration and combination of three low resolution sets. The high resolution images so formed are of comparable quality to the full high-resolution 3D data images, shown in the right column.

Reference

Hoge WS, Mitsouras D, Rybicki FR, Mulkern RV, Westin CF. Registration of multi-dimensional image data via sub-pixel resolution phase correlation. In IEEE Intl. Conf. on Image Processing (ICIP-03). Barcelona, Spain, 2003;707-710.

Bibtex entry

@InProceedings{hogeICIP03,
  author         = {W. S. Hoge and D. Mitsouras and F. R. Rybicki  and R. V.   
                   Mulkern and C.-F. Westin},                                  
  title          = {Registration of multi-dimensional image data via sub-pixel 
                   resolution phase correlation},                              
  booktitle      = {IEEE Intl. Conf. on Image Processing (ICIP-03)},           
  pages          = {707--710},                                                 
  year           = 2003,                                                       
  address        = {Barcelona, Spain}
}

Grants

NIH T32-PA10300

Research area

Registration

Copyright Information

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