Shape Preserving Filament Enhancement Filtering
Shape Preserving Filament Enhancement Filtering
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DOI：
10.1007/3-540-45468-3_92
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发表时间：
2001-10
期刊：
影响因子：
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通讯作者：
M. Wilkinson;M. A. Westenberg
中科院分区：
文献类型：
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作者：
M. Wilkinson;M. A. Westenberg
开发了用于从医学图像中提取丝状细节的形态学连通集滤波器。这些滤波器的优点是它们能够保持形状并且不会放大噪声。比较了两种方法：（i）多尺度过滤（ii）使用连接集（或属性）稀疏的单步形状过滤。后一种方法在单个过滤阶段突出显示所有丝状结构，无论规模如何。第二种方法比第一种方法快一个数量级，在 400 MHz Pentium II 上用 41.65 秒过滤 2563 个体积。
Morphological connected set filters for extraction of filamentous details from medical images are developed. The advantages of these filters are that they are shape preserving and do not amplify noise. Two approaches are compared: (i) multi-scale filtering (ii) single-step shape filtering using connected set (or attribute) thinnings. The latter method highlights all filamentous structure in a single filtering stage, regardless of the scale. The second approach is an order of magnitude faster than the first, filtering a 2563volume in 41.65 s on a 400 MHz Pentium II.