Name
Title | ||
|---|---|---|
Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields |
Abstract | ||
|---|---|---|
Magnetic resonance imaging of the brain at high fields (e.g. 3T) provides high resolution and high signal to noise ratio images suitable for a wide range of clinical applications. However, radiofrequency (or B1) inhomogeneity increases with the magnetic field and produces undesired intensity variations responsible for inaccuracies in quantitative analyses. A method to perform brain segmentation using T1 maps whose inhomogeneity was corrected using previously acquired B1 maps is described. A library of B1 maps was created and a method to compensate the T1 inhomogeneity using a B1 map from another subject (template) was developed. The performance of the template-based method was evaluated in 19 healthy volunteers. Our method produced significantly better segmentations than the retrospective N3 method and the one without B1 inhomogeneity correction. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISBI.2010.5490410 | ISBI |
Keywords | Field | DocType |
biomedical MRI,brain,image segmentation,medical image processing,B1 maps,T1 maps,brain,inhomogeneous magnetic resonance imaging,segmentation,template method,Brain,Image registration,Image segmentation,Magnetic resonance imaging | Magnetic resonance imaging of the brain,Brain segmentation,Computer vision,Template method pattern,Magnetic field,Pattern recognition,Computer science,Signal-to-noise ratio,Image segmentation,Artificial intelligence,Image registration,Magnetic resonance imaging | Conference |
ISSN | Citations | PageRank |
1945-7928 | 0 | 0.34 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcelo A. Castro | 1 | 0 | 0.68 |
| Jianhua Yao | 2 | 1135 | 110.49 |
| Yuxi Pang | 3 | 2 | 1.41 |
| Eva Bake | 4 | 0 | 0.34 |
| John A. Butman | 5 | 52 | 11.18 |
| David Thomasson | 6 | 0 | 0.34 |