Title | ||
---|---|---|
Segmentation of the left ventricle of the heart in 3-D+t MRI data using an optimized nonrigid temporal model. |
Abstract | ||
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Modern medical imaging modalities provide large amounts of information in both the spatial and temporal domains and the incorporation of this information in a coherent algorithmic framework is a significant challenge. In this paper, we present a novel and intuitive approach to combine 3-D spatial and temporal (3-D + time) magnetic resonance imaging (MRI) data in an integrated segmentation algorith... |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/TMI.2007.904681 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Heart,Magnetic resonance imaging,Image segmentation,Myocardium,Biomedical imaging,Data mining,Muscles,Encoding,Expectation-maximization algorithms,Deformable models | Computer vision,Scale-space segmentation,Computer science,Segmentation,Medical imaging,Level set,Image segmentation,Parametric statistics,Artificial intelligence,Cardiac cycle,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
27 | 2 | 0278-0062 |
Citations | PageRank | References |
68 | 2.32 | 31 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
M Lynch | 1 | 147 | 5.56 |
Ovidiu Ghita | 2 | 234 | 18.12 |
Paul F. Whelan | 3 | 561 | 39.95 |