Magnetic resonance imaging of adolescent depression based on machine vision

Abstract

Magnetic resonance imaging (MRI) is emerging as a significant technique for understanding the neuropathological mechanisms and clinical identification of mild depression disorders (MDD). Adolescent depression is a typical class of psychiatric disorders. The number of patients keeps increasing these years. Though some studies have shown pathological changes in adult depression, the study in adolescent depression is still limited. This review discussed the application of MRI techniques in adolescent depression. It summarized the abnormity between adolescent depression and healthy controls to help clinical diagnosis and adolescent depression. Structure magnetic resonance imaging (sMRI) and function magnetic resonance imaging (fMRI) effectively analyse adolescent depression. However, diffusion tensor imaging (DTI) was indicated that could find further abnormity of adolescent depression. Future research is needed to adopt a more advanced MRI methodology in the diagnosis and treatment of MDD. Besides, With the development of artificial intelligence, computer image processing technology is more closely combined with medical science. Here we discussed the application of MRI technology in adolescent depression by combining MRI technology under computer image processing technology, in order to provide better help for the analysis of the disease.