Shape-based Interpolation of a Set of 2D Slices

C. Boydev, D. Pasquier, F. Derraz, L. Peyrodie, A. Taleb-Ahmed, J. Thiran
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引用次数: 4

Abstract

We implemented the shape-based interpolation method described by Raya and Udupa in 1990 for three-dimensional images, and created two standalone filters using the Insight Toolkit ITK. The image to be interpolated must be a 3D binary image which represents an object as a series of 2D slices with pixel values at 1 inside the object and 0 outside by convention. The first filter takes as input a 3D binary image wherein the object of interest is represented in full, that is, on all contiguous slices that comprise it. Such filter yields an upsampled 3D binary image. The second filter takes as input a 3D binary image wherein the object of interest is represented only on certain slices that are regularly spaced. It yields a 3D binary image of the same size as that of the input and wherein the object is represented on all contiguous slices that comprise it. This paper is provided with the source code as well as the data used for validation.
基于形状的一组二维切片插值
我们实现了Raya和Udupa在1990年对三维图像描述的基于形状的插值方法,并使用Insight Toolkit ITK创建了两个独立的过滤器。要插值的图像必须是3D二值图像,该图像将对象表示为一系列2D切片,按照惯例,对象内部像素值为1,外部像素值为0。第一个滤波器将3D二值图像作为输入,其中感兴趣的对象被完整地表示,即在组成它的所有连续切片上表示。这样的滤波器产生上采样的三维二值图像。第二个滤波器将3D二值图像作为输入,其中感兴趣的对象仅在间隔有规则的某些切片上表示。它产生与所述输入相同大小的3D二值图像,其中所述对象在构成其的所有连续切片上表示。本文提供了源代码以及用于验证的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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