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

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

Inactive Publication Date: 2010-06-02
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

[0045] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further introduced below.

[0046] 1. Image background removal

[0047]In order to prevent the image from being disturbed by noise, it is necessary to remove the background of the image; input the image f, first find the maximum and minimum gray levels in the image, and set the threshold value to be their average value initially, and then according to the threshold value, the reference image and the value to be The matching image is divided into two parts, and the average gray value of the two parts is obtained respectively, and a new threshold is obtained from the average gray value of the two parts. Finally, the background part of the reference image and the image to be matched is removed by using the seed filling algorithm.

[0048] Specific steps are as follows:

[0049] (1), Find the maximum and minimum grayscale Z in the imag...

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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 registrationby 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, specifically, it can be used to solve many local extremum problems existing in the objective function using mutual information. It has a wide range of applications in image localization for radiation therapy and image guidance for surgical operations. Background technique [0002] In the existing technology, medical image registration technology 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. engineering attention. Medical image registration refers to seeking a kind of (or a series of) spatial transformation for a medical image to make it consistent with the corresponding points on another medical image. This consistency refers to the same anatomy on the human body. Points have the sa...

Claims

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Application Information

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Patent Type & Authority Patents(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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