A non-rigid registration method for 3D CT images of mice

Abstract

A non-rigid registering method of a mouse three-dimensional CT image comprises the following steps: A, a direction and a position of a source image of a mouse three-dimensional CT image are calibrated; B, a threshold segmentation algorithm is used to segment the mouse image to obtain a mouse bone of the source image and a mouse bone of a target image, a center of mass of a bone slice connected domain is extracted to serve as a characteristic point, so that a source image characteristic point and a target image characteristic point are obtained; C, the source image characteristic point and the target image characteristic point in the step B are matched, the matched characteristic point is used to calculate a thin plate batten transformation matrix, and a hierarchical transformation mode is used to carry out the thin plate batten transformation to the mouse source image; and D, the mouse source image after the thin plate batten transformation and the target image carry out a fine registering. According to the invention, when the characteristic points are extracted, the number of characteristic points is reduced; the hierarchical transformation mode is used to overcome the defect of long registering time; an automatic registering in the image registering is basically realized; and registering the three-dimensional mouse image is easier.

Description

technical field [0001] The invention relates to the field of medical image processing, and further relates to a registration method of medical images. The invention can be used for registration of three-dimensional CT images of mice. Background technique [0002] Medical image registration plays an important role in medical image analysis and clinical experiments, and can be used in image segmentation, image fusion, surgical navigation and other technologies. In medical experiments, mice are often used as research objects, and image registration is necessary before analyzing and processing 3D images of mice. However, the body structure of mice is relatively complex, and there are often irregular non-rigid deformations between different images, and the degree of deformation of soft tissues and bones is different. It is necessary to treat soft tissues and bones differently during registration, otherwise it cannot Good alignment results were obtained. The traditional rigid r...

AI Technical Summary

Problems solved by technology

There are two shortcomings of this method: one is that the registration takes too long and is not very practical; the other is that it cannot be used when the mouse body deformation is too large

Inadequacies of this method: manual segmentation of mouse atlas bones is generally difficult to achieve, and the registration process is complicated

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