ND morphological contour interpolation
ND morphological contour interpolation
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ND形态轮廓插值
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
S. Aylward
中科院分区：
文献类型：
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作者：
Dženan Zukić;Jared Vicory;Matthew Mccormick;L. Wisse;G. Gerig;Paul Yushkevich;S. Aylward
本文档描述了一个新类itk：：MorphologicalContourInterpolator，它实现了Albu等人在2008年提出的方法。插值是通过首先通过检测重叠来确定相邻分割切片上的形状之间的对应关系，然后对齐相应的形状，生成一个像素膨胀的过渡序列并取中值作为结果来完成的。如果原始分割切片被多个空切片分隔，则使用递归。此类是n维的，支持3维或更多维的输入。“切片”是n-1维的，可以自动检测和手动设置。该类在内存使用和执行时间方面都是高效的。除了分配输入和输出图像外，它需要很少的内存。该实现是多线程的，在四核处理器上处理一个测试输入大约需要1-2秒。该类被测试为在itk：：Image和itk：：RLEImage上运行。由于所有处理都是在提取的切片上完成的，因此使用itk：：RLEImage作为输入和/或输出对性能的影响有限。实现此类是为了简化ITK-SNAP（www.itksnap.org）中的手动分割。这个类连同测试数据和自动回归测试一起沿着打包为ITK远程模块https://github.com/KitwareMedical/ITKMorphologicalContourInterpolation。
This document describes a new class, itk::MorphologicalContourInterpolator, which implements a method proposed by Albu et al. in 2008. Interpolation is done by first determining correspondence between shapes on adjacent segmented slices by detecting overlaps, then aligning the corresponding shapes, generating transition sequence of one-pixel dilations and taking the median as result. Recursion is employed if the original segmented slices are separated by more than one empty slice.This class is n-dimensional, and supports inputs of 3 or more dimensions. `Slices’ are n-1-dimensional, and can be both automatically detected and manually set. The class is efficient in both memory used and execution time. It requires little memory in addition to allocation of input and output images. The implementation is multi-threaded, and processing one of the test inputs takes around 1-2 seconds on a quad-core processor.The class is tested to operate on both itk::Image and itk::RLEImage. Since all the processing is done on extracted slices, usage of itk::RLEImage for input and/or output affects performance to a limited degree.This class is implemented to ease manual segmentation in ITK-SNAP (www.itksnap.org). The class, along with test data and automated regression tests is packaged as an ITK remote module https://github.com/KitwareMedical/ITKMorphologicalContourInterpolation.