Topology-Preserving STAPLE.

Topology-Preserving STAPLE.
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拓扑保持的 STAPLE。

DOI:
10.1109/cvprw.2010.5543195
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发表时间:
2010
期刊:
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops
影响因子:
--
通讯作者:
Prince,JerryL
Prince,JerryL
中科院分区:
--
文献类型:
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作者:
Bogovic,JohnA;Bazin,Pierre-Louis;Prince,JerryL

文献摘要

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融合多个分割以产生改进结果的方法在计算解剖学研究中是有用的。尽管获得具有特定拓扑结构的解剖分割对于使用基于微分同构变形的分析进行研究至关重要,但迄今为止还没有提出的标签融合方法包含有关解剖结构拓扑的信息。在本文中,我们引入了一种新的方法“拓扑STAPLE”,该方法在统计上将多个rater分割融合为拓扑正确的分割。我们对模拟数据和人类评分员产生的小脑的真实描绘进行了评估。
Methodology for fusing multiple segmentations to produce an improved result has been useful in computational anatomical studies. Although obtaining segmentations of anatomy having a particular topology are essential to studies using diffeomorphic deformation based analyses, no methods of label fusion presented to date have incorporated information regarding the topology of the anatomy. In this paper, we introduce “Topology STAPLE”, a novel method that statistically fuses multiple rater segmentations into a topologically correct segmentation. We evaluate the method on both simulated data and real delineations of the cerebellum produced by human raters.