A Medical Image Registration Method Combining Grayscale and Geometric Information
A medical image and geometric information technology, applied in the field of medical image processing, can solve the problems such as the inability to register images particularly well, the inability to achieve stability of grayscale information, and the small amount of grayscale information. good robustness
Active Publication Date: 2017-03-15
SUZHOU DIKAIER MEDICAL TECH
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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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[0036] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0037] The specific steps of the medical image registration method combined with grayscale and geometric information are as follows: under the computer hardware conditions that the CPU is Pentuim M1.8GHz, the graphics card is NVIDIA Geforce 6000, the memory is 2.0GB, and the programming language is C++:
[0038] Wherein, the grayscale is the value on each pixel / voxel in the digital medical image, and is distributed as image grayscale information; the geometric information is a unit vector representing the geometric normal of each point, and is characterized by: The gray value distribution is used to represent the gray information of medical images, the image normal vector distribution is used to represent the geometric information of medical images, and finally the mutual information is used to measure the similarity between gray and geometric informati...
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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 grayscale and geometric information, which relates to the technical field of medical image processing. [0002] technical background [0003] Modern medicine has increasingly relied on the assistance of medical equipment, among which medical imaging equipment is the most important equipment, running through the entire process from medical diagnosis, surgical navigation, and postoperative effect evaluation. With the rapid development of medical imaging technology, various imaging technologies provide doctors and patients with richer and more accurate imaging effects. However, different imaging technologies generally have their unique advantages based on their imaging principles, and also have their specific limitations. A perfect and universal imaging technology has not yet appeared, and different imaging technologies will have different application scenarios. There are advantages an...
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IPC IPC(8): G06T7/00
Inventor 顾力栩
Owner SUZHOU DIKAIER MEDICAL TECH