Voxel-based morphometric magnetic resonance imaging (MRI) postprocessing

Voxel-based morphometric magnetic resonance imaging (MRI) postprocessing is a technique used to analyze brain images obtained from MRI scans. It involves the use of computer software to measure and compare the volume, density, and shape of brain structures across individuals or groups.

The process starts with acquiring high-resolution MRI images of the brain, which are then processed using specialized software. The images are first aligned to a standardized brain template to ensure consistency across individuals. Then, the images are segmented into different brain regions based on their anatomical features.

Once the regions of interest have been identified, statistical analyses are performed to compare the volume, density, or shape of these regions between individuals or groups. This can reveal differences in brain structure that may be associated with certain neurological or psychiatric disorders.

Voxel-based morphometry (VBM) is a specific type of voxel-based morphometric MRI postprocessing that focuses on analyzing differences in brain tissue density. It is often used to study changes in gray and white matter in the brain associated with aging, disease, or injury.

Overall, voxel-based morphometric MRI postprocessing is a powerful tool for studying the structure and function of the brain, and it has important implications for understanding and treating neurological and psychiatric disorders.