Three-dimensional multi-modal image deformable registration method for rigid target

Abstract

The invention discloses a three-dimensional multi-modal image deformable registration method for a rigid target. A point cloud is constructed from a multi-modal three-dimensional image, a local feature coordinate system is constructed by using normal and curvature information, and an iterative nearest neighbor algorithm is corrected and error points are eliminated, so that the registration robustness is improved. Partition registration is carried out based on the structure information of the point cloud, the difference among the regions is met on the basis of local rigid registration, deformable rigid registration is achieved, and the overall registration precision is improved. An existing iterative nearest neighbor registration method is insufficient in utilization of local features of point clouds and has large errors. Therefore, multiple features of the point clouds are fully utilized to construct the local feature reference coordinate system to improve the registration process, and point clouds are subjected to partition registration in combination with the structural features of the point clouds, so that a better registration effect of registering the point clouds and the reference point clouds is achieved.

Description

technical field [0001] The invention relates to a three-dimensional registration method for multi-modal images, in particular to a deformable three-dimensional multi-modal image registration method for rigid targets. Background technique [0002] In modern medical diagnosis, it has become a trend to use multiple medical imaging technologies to obtain 3D images for comprehensive diagnosis. Multimodal 3D registration can combine the advantages of different imaging technologies and improve the accuracy of diagnosis. It has a high reality in clinical medicine. value. The 3D image obtained by medical imaging technology is a 3D image combined with two-dimensional sequential tomographic images. The multimodal three-dimensional registration methods mainly include registration methods based on feature points, optimal registration methods based on image and non-rigid registration methods and image registration methods using neural networks. (1) The registration method based on featu...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is the three-dimensional registration problem of multi-modal imaging. Based on the improved iterative nearest neighbor registration algorithm, the local feature reference coordinate system is constructed by using the normal and curvature information of the point cloud, and the registration process is corrected. And error point elimination, using the sub-area registration method based on structural information, to achieve deformable rigid registration, to achieve more accurate registration for multi-modal imaging

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