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Regression-Based Label Fusion for Multi-Atlas Segmentation

8 years 2 months ago
Regression-Based Label Fusion for Multi-Atlas Segmentation
Automatic segmentation using multi-atlas label fusion has been widely applied in medical image analysis. To simplify the label fusion problem, most methods implicitly make a strong assumption that the segmentation errors produced by different atlases are uncorrelated. We show that violating this assumption significantly reduces the efficiency of multi-atlas segmentation. To address this problem, we propose a regression-based approach for label fusion. Our experiments on segmenting the hippocampus in magnetic resonance images (MRI) show significant improvement over previous label fusion techniques.
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Alt
Added 31 Mar 2011
Updated 29 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Altinay, Paul Yushkevich
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