Image real-time registration method and system

Abstract

The invention discloses an image real-time registration method and system. The method comprises the following steps of (1) acquiring data of a to-be-registered 2D image; and (2) inputting the data to a registration neural network obtained according to training of a target 3D image, and obtaining position information of the 2D image in the target 3D image, wherein the position information comprises an eigenvector of the to-be-registered 2D image in a coordinate system of the target 3D image and a distance between the to-be-registered 2D image and an origin of the coordinate system, and the eigenvector is a vector passing through the origin of the coordinate system and perpendicular to a 2D image plane, and comprises two parameters including an elevation angle and an azimuth angle. The system comprises an image acquisition module and a registration module. According to the method and the system, deep learning is introduced in the 2D-3D registration problem, a corresponding relationship between 2D and 3D is expressed as a deep convolutional neural network, and a policy for solving the exhaustion calculation problem is explored theoretically, so that the purpose of real-time registration is achieved.

Description

technical field [0001] The invention belongs to the field of image registration, and more particularly, relates to a medical image real-time registration method and system. Background technique [0002] Image registration is widely used in clinical medicine, aerial remote sensing, public security criminal investigation and other fields, and a large number of in-depth studies have been carried out on this problem. There are a large number of 2D-3D image registration problems in medical images. The current 2D-3D registration methods can basically be described as: obtaining slice images of 3D data from different angles and positions, and comparing slice images with actual 2D images , according to the principle of optimal similarity, the position of the 2D image in the 3D data is obtained. [0003] According to the above analysis, the existing 2D-3D image registration, strictly speaking, is a rough registration, and the main strategy used is a method close to exhaustive or assi...

AI Technical Summary

Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a 2D-3D real-time registration method based on convolutional neural network, which introduces volume and neural network into the registration, and its pu...

Images