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MICCAI
2010
Springer

Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation

10 years 9 months ago
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variability of the left atrium presents significant challenges for atlas-guided segmentation. In this paper, we demonstrate an automatic method for left atrium segmentation using weighted voting label fusion and a variant of the demons registration algorithm adapted to handle images with different intensity distributions. We achieve accurate automatic segmentation that is robust to the high anatomical variations in the shape of the left atrium in a clinical dataset of MRA images. Key words: Atlas-based segmentation, left atrium segmentation, cardiac segmentation, label fusion, non-rigid registration.
Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, R
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where MICCAI
Authors Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland
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