Method for determining craniotomy approaching channel through 3D modeling of medical images

Abstract

The invention discloses a method for determining a craniotomy approaching channel through 3D modeling of medical images and belongs to the technical field of medicines. The method comprises steps as follows: a cranial cavity image of a patient is acquired; 3D modelling is performed on the cranial cavity image, and a 3D model of a cranial cavity is obtained, wherein the 3D model of the cranial cavity comprises a skull, blood vessel distribution in the skull and tumor; on the basis of the position of tumor, the position where craniotomy is performed formally is determined on the skull in the 3Dmodel of the cranial cavity; the relation between the position where craniotomy is performed formally and the position of tumor is determined with the position where craniotomy is performed formally as a datum point, and an approaching channel is constructed; the approaching channel is output. With the application of the method, before a doctor formally implements the craniotomy operation, the doctor can have a comprehensive knowledge about the craniotomy operation, the doctor is assisted in rapidly and accurately finding the tumor position, the operation time is shortened, and the operation risk is reduced; besides, when the doctor formally implements the craniotomy operation, the doctor is helped to determine the process of operation instruments, and the operation instruments can accurately reach the tumor position.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a method for determining craniotomy access channels through three-dimensional modeling of medical images. Background technique [0002] Tumors that grow in the brain are collectively called brain tumors, including primary brain tumors that originate from the brain parenchyma and secondary brain tumors that metastasize to the brain from other parts of the body. Primary brain tumors are divided into benign and malignant according to their biological characteristics. Benign brain tumors grow slowly, have relatively complete capsules, do not infiltrate surrounding tissues, and are well differentiated; malignant brain tumors grow rapidly, have no capsule, have indistinct boundaries, show infiltrative growth, and are poorly differentiated. Regardless of benign or malignant, it can squeeze and push normal brain tissue, causing increased intracranial pressure and threatenin...

AI Technical Summary

Problems solved by technology

Before the operation, although the tumor in the cranial cavity will be located, because the human cranial cavity is full of brain tissue and blood vessels, it is easy to form a block, and when the craniotomy is performed, the head must be bypassed. Therefore, the scope of craniotomy is very small, which makes it impossible for doctors to quickly and accurately find the tumor location after craniotomy, and even the target is lost, which leads to prolonged operation time and increased risk of surgery

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