Name
Title | ||
|---|---|---|
Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI |
Abstract | ||
|---|---|---|
The corpus callosum (CC) is one of the most important white matter structures of the brain, interconnecting the two cerebral hemispheres. The corpus callosum is related to several neurodegenerative diseases and, as segmentation is usually the first step for studies in this structure, it is important to have a robust method for CC segmentation. We propose here a new approach for fully automatic segmentation of the CC in the magnetic resonance diffusion tensor images. The method uses the watershed transform and is performed on the fractional anisotropy (FA) map weighted by the projection of the principal eigenvector in the left-right direction. It first computes the section of the CC in the midsagittal slice and uses it as a seed for the 3D volume segmentation. Experiments with real diffusion MRI data showed that the proposed method is able to quickly segment the CC without any user intervention, with great results when compared to manual segmentation. Since it is simple, fast and does not require parameter settings, the proposed method is well suited for clinical applications. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/SIBGRAPI.2011.46 | Graphics, Patterns and Images |
Keywords | Field | DocType |
watershed-based segmentation,volume segmentation,cc segmentation,automatic segmentation,diffusion mri,magnetic resonance diffusion tensor,robust method,corpus callosum,real diffusion,manual segmentation,important white matter structure,midsagittal section,eigenvectors,segmentation,diffusion tensor imaging,image segmentation,magnetic resonance image,magnetic resonance,watershed transform,fractional anisotropy | Computer vision,Diffusion MRI,White matter,Computer science,Fractional anisotropy,Segmentation,Image segmentation,Watershed,Artificial intelligence,Corpus callosum,Magnetic resonance imaging | Conference |
ISBN | Citations | PageRank |
978-1-4577-1674-4 | 2 | 0.39 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Freitas | 1 | 3 | 0.73 |
| Leticia Rittner | 2 | 82 | 12.95 |
| Simone Appenzeller | 3 | 14 | 4.99 |
| Roberto Lotufo | 4 | 25 | 2.97 |