Automatic segmentation of left and right cerebral hemispheres from MRI brain volumes using the graph cuts algorithm

Lichen Liang; Kelly Rehm; Roger P. Woods; David A. Rottenberg

doi:10.1016/j.neuroimage.2006.07.046

Automatic segmentation of left and right cerebral hemispheres from MRI brain volumes using the graph cuts algorithm

Lichen Liang, Kelly Rehm, Roger P. Woods, David A. Rottenberg

University of Minnesota Twin Cities

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

An automated algorithm has been developed to segment stripped (non-brain tissue excluded) T1-weighted MRI brain volumes into left and right cerebral hemispheres and cerebellum + brainstem. The algorithm, which uses the Graph Cuts technique, performs a fully automated segmentation in approximately 30 s following pre-processing. It is robust and accurate and has been tested on datasets from two scanners using different field strengths and pulse sequences. We describe the Graph Cuts algorithm and compare the results of Graph Cuts segmentations against "gold standard" manual segmentations and segmentations produced by three popular software packages used by neuroimagers: BrainVisa, CLASP, and SurfRelax.

Original language	English (US)
Pages (from-to)	1160-1170
Number of pages	11
Journal	NeuroImage
Volume	34
Issue number	3
DOIs	https://doi.org/10.1016/j.neuroimage.2006.07.046
State	Published - Feb 1 2007

Bibliographical note

Funding Information:
We are grateful to Ms. Kristi Boesen for preparing the brainmask and to Dr. Jill Huang for creating the manual spatial compartments. This work was supported by NIH Human Brain Project Grant EB002013.

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Automatic segmentation of left and right cerebral hemispheres from MRI brain volumes using the graph cuts algorithm

Abstract

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