A 3D printing method of customized magnetic focusing generator for magnetic field therapy

Abstract

As one of the most malignant tumors, brain tumors seriously threaten people's health. Traditional treatment methods, such as surgery combined with radiotherapy and chemotherapy, will bring great side effects and high treatment costs. As a new type of brain tumor treatment method, magnetic field therapy has the advantages of well effectiveness, non-invasive property and relatively low treatment cost. However, it has the disadvantage that magnetic field energy cannot effectively focus on tumors, especially when facing the differences of brain tumors among different patients. This may lead to side effects similar to those caused by traditional chemotherapy methods that cannot focus on tumors. For this, a 3D printing method of customized magnetic focusing generator for magnetic field therapy is proposed in the paper. First, a state-of-the-art 3D-Unet artificial intelligence model is used to segment the magnetic resonance imaging (MRI) data of patients to obtain the spatial information of brain tumors and personalized patient skulls. Then, through the design of the hemispherical solenoid array model, the multi-dimensional simulation and actual measurement of the magnetic focusing mode are carried out to obtain a solenoid focusing scheme that gives consideration to both magnetic focusing and energy efficiency. Finally, based on high-precision 3D printing technology, 3D reconstruction is carried out for the spatial information of brain tumors and personalized patient skulls with the solenoid focusing scheme. The magnetic field generator is thus obtained based on customized 3D printing. The device not only fits the patient's skull and is suitable for wearing, but also can accurately control the spatial information related to the tumor, so that the magnetic field energy can accurately focus on the brain tumor area of specific patients to achieve accurate magnetic field treatment. Through the experiment, the actual measurement of the magnetic field distribution generated by the device is carried out and compared with the simulation results. While the magnetic focusing is verified, the error between the measurement and simulation reaches only 2.2%, which verifies the feasibility of the overall method. The customized magnetic focusing generator proposed in the paper is expected to provide a new and effective clinical approach for the treatment of brain tumors.