Robust cortical thickness estimation in the presence of partial volumes using adaptive diffusion equation.

ABSTRACT:

Background

Automated estimation of cortical thickness in brain MRI is a critical step when investigating neuroanatomical population differences and changes associated with normal development and aging, as well as in neurodegenerative diseases such as Alzheimer's and Parkinson's. The limited spatial resolution of the scanner leads to partial volume effects, where each voxel in the scanned image may represent a mixture of more than one type of tissue. Due to the highly convoluted structure of the cortex, this can have a significant impact on the accuracy of thickness estimates, particularly if a hard intensity threshold is used to delineate cortical boundaries.

New methods

In this paper, we describe a novel method based on an adaptive diffusion equation (ADE) that explicitly a

SUBMITTER: Joshi AA 

PROVIDER: S-EPMC12707779 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature