Intracranial fine simulations based on a four layers craniocerebral model

Abstract

Magnetic induction tomography (MIT) is an effective brain health monitoring system. The application and the data analysis of the MIT system are difficult because of the uneven distribution of intracranial electrical characteristics. To study the effect of the intracranial main ingredients on the MIT signal, a four layers craniocerebral model was put forward in this paper, which was established according to the human physiological structure. First of all, a skull model was established according to the anatomic structure. Structures of the skull model including eyes, occipital bone and frontal bone were revised. And brain parenchyma, cerebral spinal and head cortex were added on that basis. Finally, we analyzed the conductivity characteristics of each part of the organizational structure. The model was put into the MIT system. And the induced current data of the model was gained. It provides a reference for the design of the MIT system.