Lung puncture operation positioning method under guidance of X-ray and preoperative CT

Abstract

The present invention relates to a lung puncture operation positioning method under the guidance of X-ray and preoperative CT, comprising: the first step, establishing the three-dimensional shape model and deformation model of the lung image; the second step, combining the preoperative CT image of the patient with the three-dimensional The shape model is registered, and the registration result is combined with the deformation model to calculate the patient's lung deformation model; the third step is to generate a simulated X-ray image; the fourth step is to register the X-ray image collected during the operation with the simulated X-ray image, Calculate the two-dimensional displacement field of the lung during the operation, and calculate the position coordinate information of the puncture needle; the fifth step, use the two-dimensional displacement field and the lung deformation model to calculate the displacement field information of the three-dimensional image during the operation; the sixth step, use the obtained The three-dimensional displacement field and the preoperative CT image generate a registered three-dimensional image, and calculate the position information of the lesion in the three-dimensional image; the seventh step is to adjust the position of the puncture needle until the puncture positioning is completed. Compared with the prior art, the present invention has the advantages of fastness, accuracy, suitability for practical application and the like.

Description

technical field [0001] The present invention relates to medical image processing technology, in particular to a lung puncture surgery positioning method guided by X-ray and preoperative CT, which combines the precise anatomical information of the preoperative CT image with the real-time information of the intraoperative X-ray image, directly The purpose is not to obtain diagnostic results or health conditions, but to obtain information processing methods as intermediate results from living human or animal bodies, providing doctors with fast and accurate visualization of surgical procedures. Background technique [0002] With the continuous development of medical imaging, computer science and other technologies, computer-aided medicine is more and more widely used in clinical examination and treatment. The present invention is mainly used under the guidance of X-ray images, combined with the patient's preoperative CT image and the average deformation model of the lung region,...

AI Technical Summary

Problems solved by technology

The method of applying X-ray images to lung deformation is based on the three-dimensional free deformation method. The sparse displacement field is used to deform the CT image and then projected to the two-dimensional image to calculate the similarity with X-rays, and iteratively solve the change of the sparse displacement field. The calculation time is very long, not suitable for clinical application

There is also a lung statistical model method based on 4D CT images, which has a huge amount of radiation to the patient

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