3D (three-dimensional) image registration method and device based on conformal geometric algebra

Abstract

The invention discloses a 3D (three-dimensional) image registration method and device based on conformal geometric algebra. The 3D image registration method comprises the following steps of: rebuilding a position relation restrain problem of a 3D medical image by using the conformal geometric algebra, analyzing conformal geometric transformation of the medical image, constructing a new 3D medical image registration similarity measure, and proposing a 3D medical image registration algorithm for 3D registration of CT (Computed Tomography) and MR_T1 (Magnetic Resonance) images. According to the three-dimensional image registration method and the three-dimensional image registration device, the direct alignment of 3D data is realized, the 3D positions of tissues and organs can be better positioned, the registration result is more direct, the image after registration is clearer, and the registration precision is higher.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a three-dimensional image registration method and device based on conformal geometric algebra. Background technique [0002] From the data dimension, the registration of medical images can be divided into three types: 2D / 2D, 2D / 3D and 3D / 3D. For 3D / 3D registration, the registration data is three-dimensional data, and the types of geometric transformations are more and more complex. It is more difficult to find parameters for optimization, and it is easier to fall into local optimum, and the space complexity and time complexity of the whole registration process are higher than Much higher than 2D / 2D registration. In medical applications such as neurosurgery navigation, medical image processing technology is very critical, but it also faces many problems, especially in 3D / 3D registration. From the relevant literature, we can find that many methods to solve the problem are ...

AI Technical Summary

Problems solved by technology

For 3D / 3D registration, the registration data is three-dimensional data, and the types of geometric transformations are more and more complex. It is more difficult to find parameters for optimization, and it is easier to fall into local optimum, and the space complexity and time complexity of the whole registration process are higher than Much higher than 2D / 2D registration

[0003] In the registration of medical images, the existing 3D registration schemes mostly assume that the corresponding relationship between the registration points is known to analyze how to deform, or already know how to deform, and only need to obtain the corresponding relationship between the registration points, which is difficult Describe the geometric position of the registration, so that the stereoscopic display of the registered medical image is not clear, and the registration accuracy is not high

Images