Advances in Imaging Analysis for Understanding Brain Disorders

Abstract

In this paper, we examine advancements in imaging analysis techniques that have deepened our understanding of brain disorders, using modalities like MRI, fMRI, PET, and DTI to analyze brain structure, function, and connectivity. By transitioning from qualitative to quantitative imaging, including volumetric analysis, cortical thickness, and connectivity mapping, we enable more precise, objective assessments that enhance diagnostic accuracy and treatment monitoring. We also explore the field of radiomics, where high-dimensional data extraction is uncovering imaging biomarkers useful for diagnosis and prognosis. Despite these advancements, challenges such as data variability, complexity, and ethical concerns remain. In this paper, we discuss the importance of standardized protocols, data sharing, and AI interpretability to realize the full clinical potential of imaging analysis, with the ultimate goal of transforming care for brain disorder patients through more personalized approaches.