Organ deformation registration method based on estimation of 2d displacement field

Abstract

The invention discloses an organ deformation registration method based on estimation of a 2d displacement field, and the method comprises the following steps: S1, obtaining a CT image and an ultrasonic image, obtaining a CT image organ contour from the CT image, and obtaining an ultrasonic image organ contour from the ultrasonic image; s2, calculating a common roi region between the organ contour of the CT image and the organ contour of the ultrasonic image; s3, ultrasonic contour points in the organ contour of the ultrasonic image and CT contour points in the organ contour of the CT image are searched, the corresponding position of each ultrasonic contour point in the CT contour points is searched according to the gradient difference minimum principle, and displacement vectors (u, v) of the ultrasonic contour points are calculated; s4, taking the displacement vectors (u, v) of the ultrasonic contour points as boundary conditions, and calculating an Euler-Lagrange equation to obtain a displacement field of the common roi region; and S5, deformation of the displacement field is applied to the CT image through the displacement field of the common roi area, and a deformation registration image is obtained.

Description

technical field [0001] The invention relates to the field of image registration, in particular to an organ deformation registration method based on estimating a 2D displacement field. Background technique [0002] When doing medical image analysis, it is often necessary to analyze several images of the same patient together, so as to obtain comprehensive information of the patient and improve the level of medical diagnosis and treatment. To do quantitative analysis on several different images, we must first solve the problem of strict alignment of these images, which is what we call image registration. Medical image registration refers to seeking a kind of (or a series of) spatial transformations for a medical image to make it consistent with the corresponding points on another medical image. This consistency means that the same anatomical point on the human body has the same spatial position in the two matching images. The result of registration should match all anatomica...

AI Technical Summary

Problems solved by technology

At present, the existing image registration method is complicated to operate, and the accuracy of the registered image is low, which affects the doctor's observation operation of the image and seriously reduces the doctor's work efficiency.

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