Gray scale and geometric information combined medical image registration method

Abstract

The invention provides a gray scale and geometric information combined medical image registration method and relates to the technical field of medical image processing. Grey scale values are the values on all pixels / voxels in digital medical images and distributed as image gray scale information; and normal vectors represent unit vectors of geometric normal of all points, represent the gray scale information of the medical images by adopting the grey scale value distribution, represent the geometric information of the medical images by adopting the image normal vector distribution, and finally measure the similarity between the gray scale and the geometric information quantity by adopting mutual information. According to the invention, the conventional mutual information method and gradient solution method are adopted, and the obtained mutual information values are added together, so that easy implementation can be realized in engineering application; the advantages of both the gray scale and the geometric information are fully utilized to ensure that less local extreme points fall in the registering process, and better robustness is achieved; and tests show that the method provided by the invention can acquire higher precision.

Description

Technical field [0001] The invention relates to a medical image registration method combining gray scale and geometric information and relates to the technical field of medical image processing. technical background [0002] Modern medicine has increasingly relied on the assistance of medical equipment, among which the medical imaging equipment is the most important equipment, running through the entire process from medical diagnosis, surgical navigation, and postoperative evaluation. With the rapid development of medical imaging technology, various imaging technologies provide doctors and patients with richer and more precise imaging effects. However, different imaging technologies generally have their unique advantages based on their imaging principles, and also have their specific limitations. Perfect and universal imaging technology methods have not yet appeared. Different imaging technologies will have different application scenarios. There are advantages and disadvantages ...

AI Technical Summary

Problems solved by technology

However, when applying various algorithms, researchers found that simply using one of the information amounts cannot register images particularly well. For example, for low-resolution images (such as PET), the amount of gray information is relatively small , simply using gray information cannot achieve good stability

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