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Multi- resolution non-rigid head medicine image registration method based on image edge

An image edge and medical image technology, applied in the field of multi-resolution image registration, can solve the problems of large subjectivity, errors, and different spatial resolutions of imaging parameters, etc., to achieve accurate matching, reduce matching errors, and improve registration accuracy.

Inactive Publication Date: 2009-07-29
INNER MONGOLIA UNIV OF SCI & TECH
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Problems solved by technology

[0002] Image registration is a very important technology in image analysis, mainly by looking for some kind of transformation to make the corresponding points of the two images reach the same spatial position, In the process of medical diagnosis, due to practical problems such as the physical mechanism of different modes of images showing different properties, differences in patient positioning, changes in imaging parameters, and different spatial resolutions between different imaging devices, the two or The spatial alignment of two sets of images of different modes is subject to many limitations, and often has a large degree of subjectivity, its reliability is often not high, and errors will inevitably occur

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  • Multi- resolution non-rigid head medicine image registration method based on image edge
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  • Multi- resolution non-rigid head medicine image registration method based on image edge

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Embodiment Construction

[0052] The study of the edge features of various structures in images is the most important for pattern recognition. Edge is the most basic feature of an image. Most of the main information of an image exists in the edge of the image, which is similar to how people distinguish objects from the outline of a picture. Edge detection plays an important role in computer vision, image analysis and other applications, and is an important part of image analysis and recognition. This is because the edge of the image contains useful information for recognition, which provides important feature parameters for people to describe or recognize the target and interpret the image. Therefore, our edge detection is the main feature extraction method for image analysis and pattern recognition.

[0053] 1. Image edge extraction

[0054] Wavelet transform is a powerful tool for detecting abrupt signals. It can characterize signals of various frequency components. Edge detection based on wavelet transf...

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Abstract

The invention relates to a multi-resolution non-rigid head medical image registration method on the basis of image edges, which pertains to the field of information fusion. The method utilizes searches gradually becoming accurate to transform parameters during the registration process. At first, wavelet transformation is used for detecting the edge of an image; a edge pyramid image is formed on the basis of an edge image; then relatively wide search is carried out in the lowest scale level (the roughest level) of the edge pyramid image; the best transformation for registering the two images is found; each subsequent level takes the search result of the former level as a center; and search scope is reduced to continually search until the search in the highest scale level is carried out. Compared with the registration directly using the original image, the method can reduce calculated amount, improve accuracy and can register images of different spatial resolution.

Description

Technical field [0001] The invention relates to a head medical image registration method based on wavelet transform, which is a multi-resolution image registration method in the field of information fusion, and can be widely used in remote medical systems, medical image processing and other systems. Background technique [0002] Image registration is a very important technology in image analysis. It is mainly by looking for a certain transformation to make the corresponding points of two images reach the same spatial position. In the process of medical diagnosis, due to the existence of different modes of images showing different properties Physical mechanism, differences in patient positioning, changes in imaging parameters, and differences in spatial resolution between different imaging devices, and so on, so there are many limitations to the spatial alignment of two or two sets of images with different modes by the doctor alone. , And often with greater subjectivity, its relia...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 吕晓琪陶永鹏张宝华
Owner INNER MONGOLIA UNIV OF SCI & TECH
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