Global optimization-based neural navigation automatic space registration method

Abstract

The invention belongs to the medical image processing and application field and relates to a global optimization-based neural navigation automatic space registration method. The method includes the following steps that: the point cloud of the whole head surface of a patient is obtained through scanning, and the point cloud is converted into a patient space; normalization processing is performed on the point cloud in the patient space and point cloud in an image space reconstructed by an image device, and the coordinates of the point cloud in the patient space and the point cloud in the image space reconstructed are unified to be within [- 1, 1] <3>; a Go-ICP algorithm-based global optimization spatial registration method is adopted to perform automatic registration on the two point clouds; and the two point clouds are fused, and are unified into the same space. As indicated by clinical practice results, the method of the invention has the advantages of simple implementation, convenient use and reliable precision, and is convenient to apply to clinical application, can be integrated in an existing navigation system and can improve the registration accuracy of the navigation system and reduce registration time.

Description

technical field [0001] The invention belongs to the field of medical image processing and application, and relates to a neuronavigation automatic spatial registration method based on global optimization, which makes the registration process simpler and more convenient. This method can make surgical navigation more accurate, practical and convenient in clinical application. Background technique [0002] According to reports, the neuronavigation system can help medical staff determine the location and boundaries of lesions, reduce iatrogenic trauma, and reduce the difficulty and risk of surgery. The neuronavigation system performs three-dimensional reconstruction and visualization of preoperative patient CT or MR image data, obtains a virtual model, registers the surgical site with the virtual model, and uses a high-precision positioning system to track the spatial position of the patient and surgical instruments, so that doctors can The position of the surgical instrument re...

AI Technical Summary

Problems solved by technology

Although some probability-based algorithms can improve the robustness of the algorithm, the optimization process used is still based on local search; some heuristic-based algorithms, such as particle swarm algorithm, particle filter algorithm, etc., although they can jump out of local The minimum value, but they cannot reach an optimal solution stably, and the algorithm complexity is very high, which is not suitable for processing a large number of point clouds in neuronavigation registration

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