Name
Title | ||
|---|---|---|
Anatomy-preserving nonlinear registration of deep brain ROIs using confidence-based block-matching. |
Abstract | ||
|---|---|---|
Brain atlases are commonly used in a number of applications such as MRI segmentation and surgery targetting. Our goal is to register a basal ganglia atlas to a subject using MR image registration. Existing registration methods are for the most part either too constrained (linear registration) or can deform deep brain ROIs into implausible anatomical shapes. We developed a block-matching registration method suitable for atlas registration, using a new confidence-based regularization of the vector field. The method was used to register a set of 17 manually segmented MRI onto one subject. Results show that basal ganglia structures were better registered than when using an affine registration method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85990-1_115 | MICCAI (2) |
Keywords | Field | DocType |
existing registration method,mr image registration,anatomy-preserving nonlinear registration,mri segmentation,block-matching registration method,deep brain,affine registration method,basal ganglia atlas,linear registration,confidence-based block-matching,brain atlas,atlas registration,basal ganglia structure,vector field | Affine transformation,Computer vision,Nonlinear system,Pattern recognition,Computer science,Segmentation,Atlas (anatomy),Regularization (mathematics),Artificial intelligence,Image registration | Conference |
Volume | Issue | ISSN |
11 | Pt 2 | 0302-9743 |
Citations | PageRank | References |
4 | 0.52 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manik Bhattacharjee | 1 | 16 | 2.55 |
| Alain Pitiot | 2 | 164 | 13.71 |
| Alexis Roche | 3 | 1220 | 124.19 |
| Didier Dormont | 4 | 224 | 18.59 |
| Eric Bardinet | 5 | 441 | 45.55 |