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Incremental variation level set fast medical image partition method

A medical image, level set technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as inability to use and improve segmentation efficiency

Active Publication Date: 2008-12-03
HARBIN INST OF TECH
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Problems solved by technology

[0007] However, there is an important defect in this model, that is, the evolution process of the Chan-Vese model needs to use all the information of the entire image, and each iteration needs (and must) be calculated on the entire image domain, so the narrow-band method or fast stepping cannot be used Fast algorithm such as method to improve segmentation efficiency

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  • Incremental variation level set fast medical image partition method
  • Incremental variation level set fast medical image partition method
  • Incremental variation level set fast medical image partition method

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[0058] Below in conjunction with accompanying drawing, the present invention will be further described:

[0059] The incremental variational level set rapid medical image segmentation method proposed in the present invention is mainly based on the formula (9) for numerical calculation, and is simple to implement. The specific implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0060] Taking the two-phase segmentation problem of a two-dimensional image as an example, the original image is as figure 2 shown. First select the appropriate model parameters μ, v, λ according to the actual segmentation problem 1 ,λ 2 , respectively μ=1.0, v=0, λ in this embodiment 1 =λ 2 = 1.0, then refer to figure 1 Carry out the following segmentation process:

[0061] (1) Given the initial boundary C 0 , with this boundary, the area Ω can be obtained 1 0 ,Ω 2 0 , respectively calculate its average gray level...

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Abstract

The invention provides a method for using incremental variation level set to segment medical images fast; the method comprises the following steps of: firstly, selecting an initial boundary; adopting fast algorithms such as a narrow band method, etc. to solve the curve evolution process of the level set according to a subregion and the average grey level calculated by the initial boundary; extracting a zero level set, namely a new boundary; judging whether the stop condition is met or not, if so, segmentation results are obtained; if not, the movement of the boundary is used for leading to the change of regions; calculating the average grey level of a new region in the range of narrow band according to the increment; then carrying out the process of using fast algorithms such as a narrow band method, etc. to solve the curve evolution of the level set; finally obtaining the zero level set, namely the segmentation result; the invention adopts the incremental method to solve the average grey level in an iterative mode according to the dynamic change of pixel in the region and the region, and changes an analytical formula thereof into a progressive iterative formula, thus being capable of adopting the fast algorithms such as a narrow band method, etc., improving the segmentation efficiency largely and leading the model to have more practical significance.

Description

(1) Technical field [0001] The invention relates to the field of medical image segmentation, in particular to a fast medical image segmentation method. (2) Background technology [0002] In medical image processing and analysis applications, image segmentation technology plays a key role. The task of medical image segmentation is to extract regions of interest containing important diagnostic information from medical images, and provide a reliable basis for clinical diagnosis and pathology research. Due to the complexity and difference of the imaging principle of medical images and the structure of human tissue itself, medical images inevitably have the characteristics of blur and inhomogeneity compared with ordinary images; at the same time, the rapid development of medical imaging technology makes it possible to acquire various Massive medical image data become possible, all of which put forward higher requirements for image segmentation technology. [0003] In recent yea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 沈毅王艳郝家胜
Owner HARBIN INST OF TECH
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