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A multi-resolution medical image registration method based on quantum behaviors particle swarm algorithm

A particle swarm algorithm and medical image technology, applied in the field of multi-resolution medical image registration, can solve problems such as not being a global optimization algorithm, easy to fall into local optimum, slow convergence speed of genetic algorithm, etc., to achieve fast registration speed, error The effect of low matching ratio and improving registration accuracy and speed

Inactive Publication Date: 2008-07-09
JIANGNAN UNIV
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Problems solved by technology

For example, both the Powell method and the genetic algorithm are direct optimization methods that do not require derivatives, but the convergence speed of the genetic algorithm is slow, while the optimization speed of the Powell method is fast, but it is easy to fall into a local optimum, while the particle swarm optimization algorithm has a fast convergence speed. , but since it is not a global optimization algorithm, it is also easy to fall into a local optimal solution

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  • A multi-resolution medical image registration method based on quantum behaviors particle swarm algorithm
  • A multi-resolution medical image registration method based on quantum behaviors particle swarm algorithm
  • A multi-resolution medical image registration method based on quantum behaviors particle swarm algorithm

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the embodiments in the accompanying drawings:

[0039]In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further introduced below.

[0040] 1. Image background removal

[0041] Specific steps are as follows:

[0042] (1), Find the maximum and minimum grayscale Z in the image 1 and Z k , let the initial value of the threshold be

[0043] T 0 = Z 1 + Z k 2 - - - ( 1 )

[0044] (2), according to the threshold T k Split the image into R 1 and R 2 Two parts, respectively calculate the average gray value Z of the two parts 0 and Z B :...

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Abstract

The invention relates to a multi-resolution medical image registration method based on the quantum-behaved particle swarm optimization, which is characterized in that the method comprises the following step of: firstly removing the backgrounds of the two images to be registered to keep the images off the interference of noise; next obtaining the images with low resolution from the two background-removed images via the wavelet transform, using the low resolution to be the object, taking the normalized mutual information as the objective function, using the quantum-behaved particle swarm optimization, then the images with the high resolution to be the object, and obtaining the rotation amount and the translation amount between the two images to be registered to finish the image registration by using the Powell method. With solving a plurality of local extrema based on the objective function of the mutual information, the invention greatly improves the registration precision and speed, reaching up to the sub-pixel level; and is widely applicable to the fields of the image discrimination of the clinical diagnosis, the framing of the radiation treatment, the image guided surgical, etc.

Description

technical field [0001] The invention relates to a multi-resolution medical image registration method based on quantum behavior particle swarm algorithm, which can be specifically used to solve many local extremum problems existing in an objective function using mutual information. Image localization in radiotherapy and image guidance in surgery have a wide range of applications. Background technique [0002] In the prior art, the registration technology of medical images is an important branch of medical image processing developed in the 1990s. It is a basic task of medical image processing and is of great significance for clinical diagnosis and treatment. attention of the engineering community. Medical image registration refers to seeking a (or a series of) spatial transformation for a medical image to make it spatially consistent with the corresponding points on another medical image. This consistency refers to the same anatomy on the human body. Points have the same spa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/00G06N1/00G06N99/00
Inventor 孙俊须文波方伟丁彦蕊蔡宇杰柴志雷朱治军陈磊
Owner JIANGNAN UNIV
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