Application of Diffusion Tensor Imaging-Based on Magnetic Resonance in Radiation Therapy of Brain Tumors

Abstract

Diffusion Tensor Imaging (DTI) is a new Magnetic Resonance Imaging (MRI) method that is newly used in clinical practice with no traumatic advantages, which can quantitatively analyze the microstructure of the brain, such as quantitative analysis of the dispersion characteristics of lesions and normal tissues, thus providing more information for the diagnosis and differential diagnosis of diseases. At the same time, DTI has a unique advantage in the imaging of white matter fibers in the brain, can visually show the relationship between intracranial lesions, especially tumors and autologous fibers, more conducive to guiding the operation, in order to maximize the removal of tumors and protect functional areas. In order to make the dispersal volume better applied to clinical, this topic mainly hopes to provide a new basis for the benign-malignant classification of brain tumors and the diagnosis of different brain tumors, FA (fractional anisotropy) value. It can provide a stronger basis for the diagnosis of brain tumors, which is rarely done in previous research institutes. Previous studies have rarely dealt with the signal strength of FA diagrams, and extensive research in this area is needed. It is hoped that the signal strength of FA graphs will help diagnose different tumors and grade the malignant degree of brain tumors. Through this experiment, it can be proved that this purpose can be achieved by magnetic resonance dispersion volume imaging. In this study, a comparative analysis method was used to determine the ADC and FA values on the magnetic resonance dispersion weighted image and dispersal volume image of glioma and benign malignant meningioma, thus revealing the important role of this method in the diagnosis and differential diagnosis of tumors in the brain and its application value.