Registration image determination method and registration image determination device

Abstract

The present application provides a method for determining a registered image and a device for determining a registered image. The method includes: based on the target image and the image to be registered, determining a set of velocity field functions corresponding to a set of pixel units to be registered in the image to be registered , where the set of pixel units to be registered includes multiple pixel units to be registered, the set of velocity field functions includes multiple velocity field functions, and there is a one-to-one correspondence between multiple pixel units to be registered and multiple velocity field functions; The set of field functions and the target image determine the registration image corresponding to the image to be registered. The technical solution of the present application optimizes the flow registration method in the traditional algorithm, regularizes the speed, and realizes the purpose of large-deformation nonlinear registration under the premise of ensuring the registration speed.

Description

technical field [0001] The present application relates to the technical field of medical image registration, and in particular to a method for determining a registered image and a device for determining a registered image. Background technique [0002] As one of the traditional algorithm registration methods, the flow registration method can deal with the nonlinear registration problem with large deformation, but the processing speed of the flow registration method is slow, and the features in the processing process are artificially specified energy features. Far inferior to features automatically extracted in deep learning algorithms. The elastic registration in the deep learning method registration is limited by the regular term in the displacement field, which also makes elastic registration unable to solve the nonlinear registration problem with large deformation. [0003] Based on this, how to not only solve the nonlinear registration problem with large deformation, bu...

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Problems solved by technology

[0002] As one of the traditional algorithm registration methods, the flow registration method can deal with the nonlinear registration problem with large deformation, but the processing speed of the flow registration method is slow, and the features in the processing process are artificially specified energy features. Far inferior to the features automatically extracted in deep learning algorithms

However, the elastic registration in the deep learning method registration is limited by the regular term in the displacement field, which also makes elastic registration unable to solve the nonlinear registration problem of large deformation.

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