Name
Abstract | ||
|---|---|---|
We propose a method to create a dual tensor atlas from multiple coregistered non-HARDI datasets. Increased angular resolution is ensured by random variations of subject positioning in the scanner and different local rotations applied during coregistration resulting in dispersed gradient directions. Simulations incorporating residual coregistration misalignments show that using 10 subjects should already double the angular resolution, even at a relatively low b-value of b = 1000 smm(-2). Commisural corpus callosum fibers reconstructed by our method closely approximated those found in a HARDI dataset. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04268-3_107 | MICCAI |
Keywords | Field | DocType |
gradient direction,multiple coregistered non-hardi datasets,different local rotation,residual coregistration misalignments,dual tensor atlas generation,angular resolution,commisural corpus callosum fiber,hardi dataset,random variation,low b,coregistered non-hardi datasets,dual tensor atlas | Computer vision,Residual,Diffusion MRI,Tensor,Pattern recognition,Computer science,Angular error,Corpus callosum fibers,Angular resolution,Atlas (anatomy),Artificial intelligence,Scanner | Conference |
Volume | Issue | ISSN |
12 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
3 | 0.41 | 9 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthan Caan | 1 | 20 | 2.77 |
| Caroline Sage | 2 | 17 | 1.06 |
| Maaike van der Graaf | 3 | 3 | 0.41 |
| Cornelis A. Grimbergen | 4 | 28 | 4.85 |
| Stefan Sunaert | 5 | 257 | 21.38 |
| Lucas J. van Vliet | 6 | 842 | 113.16 |
| Frans Vos | 7 | 106 | 11.97 |