Method for partitioning internal layer of tubular structure

Abstract

The invention discloses a method for partitioning an internal layer of a tubular structure, comprising the following steps: firstly, extracting a longitudinal section plane of tubular structure three-dimensional sequence data, extracting an internal layer contour line of the tubular structure on the longitudinal section plane, then converting the contour line of the longitudinal section plane into the contour line of a transverse section plane, sequentially, interpolating a contour point spline of the transverse section plane to obtain a spline contour, using wavelet transformation to generate a multi-scale image of the transverse section plane, converting the spline contour to be different scales and using the spline contour with different scales as the initial contour of active contour, then evolving the contour, finally combining the partition results of the active contour with different scales to obtain the final internal layer contour of the tubular structure. The technical proposal of the invention reduces the time of the initial contour. In order to improve the partition precision, the method uses the active contour to evolve the contour on multi scales.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a method for segmenting inner layers of tubular structures based on fuzzy clustering and active contours combined with longitudinal and transverse section planes. Background technique [0002] Image segmentation refers to extracting several regions of interest in an image. The region of interest is usually called the foreground, and the other regions are called the background. On the basis of segmentation, it is possible to quantitatively analyze or identify the target, thus making higher-level analysis and understanding possible. [0003] Since the 1990s, with the development of technology, images with higher resolution can be obtained, and methods based on deformation models have also begun to be widely used. Deformable models are a way to find the boundaries of objects in an image. Given an initial contour, the external force is defined through image information and ...

AI Technical Summary

Problems solved by technology

Although GVF solves the problem of the small capture range of the active contour, it may still cause the active contour to converge to a misplaced position if the initial contour position is incorrect.

This has led to the need to manually set the initial contour for the method based on the active contour. However, if the amount of image data is large, manually setting the initial contour is laborious and laborious, and the repeatability is poor. Therefore, an automated method must be used for segmentation.

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