DocumentCode :
617363
Title :
Implicit surface registration with surface-oriented anisotropic deformation field smoothing
Author :
Pearlman, Paul C. ; Isgum, Ivana ; Kersbergen, Karina J. ; Benders, Manon J. N. L. ; Viergever, Max A. ; Pluim, Josien P. W.
Author_Institution :
Image Sci. Inst., Univ. Med. Center Utrecht, Utrecht, Netherlands
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
480
Lastpage :
483
Abstract :
This paper introduces a variant of the Demon´s algorithm with an anisotropic smoothing term designed for the registration of surfaces with significant conformal differences. Because of the chosen implicit surface representation, the deformation field at each iteration can be easily defined with respect to the evolving surface. Anisotropic smoothing is performed preferentially in the tangent plane to the surface, preserving local, complex deformations. This method is applied to the registration of consecutive neonatal cortical surfaces from MR images acquired at 30 and 40 week gestational ages. Our method preserves the emergence of small, new folds, while greatly reducing noise in the resulting deformation field.
Keywords :
biomedical MRI; deformation; image registration; medical image processing; paediatrics; Demon algorithm; MR image; consecutive neonatal cortical surface; gestational ages; implicit surface registration; noise reduction; surface-oriented anisotropic deformation field smoothing; time 30 week to 40 week; Biomedical imaging; High definition video; Jacobian matrices; Pediatrics; Smoothing methods; Standards; Transforms; Demon´s algorithm; anisotropic smoothing; cortical surfaces; registration; signed distance functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556516
Filename :
6556516
Link To Document :
بازگشت