Title | ||
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Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images. |
Abstract | ||
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Precise labeling of subcortical structures plays a key role in functional neurosurgical applications. Labels from an atlas image are propagated to a patient image using atlas-based segmentation. Atlas-based segmentation is highly dependent on the registration framework used to guide the atlas label propagation. This paper focuses on atlas-based segmentation of subcortical brain structures and the ... |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/TBME.2011.2122306 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Image segmentation,Brain,Measurement,Databases,Accuracy,Labeling,Algorithm design and analysis | Affine transformation,Computer vision,Scale-space segmentation,Computer science,Segmentation,Image segmentation,Atlas (anatomy),Artificial intelligence,Image registration,Statistical hypothesis testing,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
59 | 7 | 0018-9294 |
Citations | PageRank | References |
4 | 0.40 | 31 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Siamak Yousefi | 1 | 86 | 13.41 |
Nasser D. Kehtarnavaz | 2 | 534 | 66.02 |
Ali Gholipour | 3 | 447 | 37.90 |