Medical image registration algorithm evaluation method based on deformation field

Abstract

The invention relates to a medical image registration algorithm evaluation method based on a deformation field. According to the method, the deformation field generated in the registration process acts on template split images to obtain deformation split images, and finally evaluation parameters of all regions are obtained. The method specifically includes the steps that (1) a template image and a fixed image are selected, and registration is carried out by applying a registration algorithm to be evaluated; (2) the deformation field generated in the registration process is extracted and acts on one template split image to generate a deformation split image, and the template split image is split into N parts; (3) the deformation split image and a fixed split image are utilized to calculate regional evaluation parameters RSCR; (4) the fixed image is changed, the first step, the second step and the third step are repeated to obtain 39 sets of regional evaluation parameters, a regional evaluation parameter set and an overall evaluation parameter are figured out and led out of a box plot, and ultimately the evaluation result is obtained. Compared with the prior art, the method has the advantage that the registration effect of a certain region can be evaluated through the rectification algorithm.

Description

technical field [0001] The invention relates to the field of image registration in image processing, in particular to an evaluation method for medical image registration algorithms based on deformation fields. Background technique [0002] Medical image registration is to seek a kind of (or a series of) spatial transformation 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 anatomical points, or at least all diagnostic and surgical points of interest, on the two images. [0003] Medical image registration algorithms can be divided into two categories: rigid registration algorithms and non-rigid registration algorithms. The vigorous development of medical imaging technology has made medical images more and more complex, and the original rigid registration...

AI Technical Summary

Problems solved by technology

Aiming at the inability of the previous evaluation methods to evaluate the registration effect of the algorithm on a certain area, the present invention proposes a medical image registration algorithm evaluation method based on the deformation field by utilizing the properties of the deformation field generated during the registration process

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