Name
Abstract | ||
|---|---|---|
The registration of multimodal images remains anintricate issue, especially when the multimodal imagepair shows non overlapping structures, missing data,noise or outliers. In this paper, we present a deformablemodel-based technique for the rigid registrationof 2D and 3D multimodal images. The deformablemodel embeds a priori knowledge of the spatial correspondenceand statistical variability of the different(eventually non overlapping) image features whichare used in the registration... |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICIP.1998.723647 | ICIP |
Keywords | Field | DocType |
biomedical MRI,brain,image registration,medical image processing,neurophysiology,single photon emission computed tomography,2D multimodal images,3D multimodal images,anatomical variations,brain,intrasubject registration,magnetic resonance,medical MR/SPECT images,missing data,multimodal image pair,multimodal image registration,noise,nonoverlapping structures,objective function,off-line training procedure,outliers,spatial correspondence,statistical variability,statistically constrained deformable multimodels | Spatial relation,Computer vision,Image sensor,Pattern recognition,Medical imaging,Feature (computer vision),Computer science,A priori and a posteriori,Image segmentation,Artificial intelligence,Missing data,Image registration | Conference |
Volume | Citations | PageRank |
1 | 2 | 0.49 |
References | Authors | |
13 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Nikou | 1 | 679 | 46.56 |
| Fabrice Heitz | 2 | 401 | 59.55 |
| Jean-Paul Armspach | 3 | 221 | 26.60 |