Title
A nonconservative Lagrangian framework for statistical fluid registration-SAFIRA.
Abstract
In this paper, we used a nonconservative Lagrangian mechanics approach to formulate a new statistical algorithm for fluid registration of 3-D brain images. This algorithm is named SAFIRA, acronym for statistically-assisted fluid image registration algorithm. A nonstatistical version of this algorithm was implemented , where the deformation was regularized by penalizing deviations from a zero rate ...
Year
DOI
Venue
2011
10.1109/TMI.2010.2067451
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Equations,Three dimensional displays,Tensile stress,Brain modeling,Measurement,Statistical analysis
Lagrangian mechanics,Computer vision,Tensor,Matrix (mathematics),Vector field,Fluid mechanics,Artificial intelligence,Deformation (mechanics),Mathematics,Image registration,Covariance
Journal
Volume
Issue
ISSN
30
2
0278-0062
Citations 
PageRank 
References 
9
0.47
42
Authors
10
Name
Order
Citations
PageRank
Caroline C. Brun1936.42
Natasha Lepore213415.80
Xavier Pennec35021357.08
Yi-Yu Chou429022.25
Agatha D Lee529623.02
Greig I. De Zubicaray649143.04
Katie Mcmahon713912.10
Margaret J. Wright843639.31
James C. Gee94558321.75
Paul Thompson103860321.32