Abstract | ||
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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. Brun | 1 | 93 | 6.42 |
Natasha Lepore | 2 | 134 | 15.80 |
Xavier Pennec | 3 | 5021 | 357.08 |
Yi-Yu Chou | 4 | 290 | 22.25 |
Agatha D Lee | 5 | 296 | 23.02 |
Greig I. De Zubicaray | 6 | 491 | 43.04 |
Katie Mcmahon | 7 | 139 | 12.10 |
Margaret J. Wright | 8 | 436 | 39.31 |
James C. Gee | 9 | 4558 | 321.75 |
Paul Thompson | 10 | 3860 | 321.32 |