Labeled Cortical Depth Maps

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1. Introduction

Labeled cortical depth maps (LCDMs) provide a way to determine volume and thickness of cortical structures from MRI brain scans. LCDMs have been used to distinguish cortical thickness in the cingulate in Alzheimer’s Disease and schizophrenia, and prefrontal cortex in schizophrenia as well as whole brain. LCDM relies on both the surface defined at the gray-white matter interface and the segmentation of the MRI region of interest into three distinct tissue classes: cerebrospinal fluid (CSF), gray matter (GM), and white matter (WM). With the emergence of automated surface parcellation, it is opportune to automate the generation and statistical analysis of LCDMs. Previously, volume segmentation was both laborious and potentially unrepeatable. In this work, we develop a method to fully automate LCDM calculations and demonstrate validation for the cingulate gyrus region of interest (ROI) in normal aging and demented subjects with respect to previously published results.

2. Method

Miller et al [] developed the LCDM approach to quantify thickness and volume of cort...

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