Neuroimage July 2006 PMID 16530430

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

Rahul S Desikan, Florent Ségonne, Bruce Fischl, Brian T Quinn, Bradford C Dickerson, Deborah Blacker, Randy L Buckner, Anders M Dale, R Paul Maguire, Bradley T Hyman, Marilyn S Albert, Ronald J Killiany

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Abstract in brief

The study evaluated an automated system designed to label different regions of the human brain's cortex using MRI scans, comparing its accuracy and reliability to manual labeling done by experts.
Results showed that the automated labeling was highly accurate, with a correlation score (ICC) of about 0.835 and less than 1mm error compared to manual labels, with consistent results across different raters.
The system is found to be both valid and reliable, making it useful for studying brain structure and function, monitoring disease progression, and assessing treatment effects in clinical research.]

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All mentions

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Desikan Atlas for Automated Brain Cortex Labeling and Analysis

The Desikan atlas automates cortical labeling on MRI scans, achieving high accuracy and reliability, facilitating brain structure and function studies, disease monitoring, and clinical research.

fsbrain · Nov 24, 2019 93 views

Desikan Killiany - Transparent

Brennan Gambling · Jul 31, 2024 44 views

Automated Brain Cortical Labeling Using MRI Scans

This study evaluates an automated system for labeling human brain cortex regions on MRI scans, demonstrating high accuracy and reliability comparable to expert manual labeling. The system is useful for research and…

Brennan Gambling · Jul 31, 2024 30 views

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