Literature DB >> 17150376

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

Lichen Liang1, Kelly Rehm, Roger P Woods, David A Rottenberg.   

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.

Mesh:

Year:  2006        PMID: 17150376     DOI: 10.1016/j.neuroimage.2006.07.046

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  3 in total

1.  Automatic extraction of the midsagittal surface from brain MR Images using the Kullback-Leibler measure.

Authors:  Hugo J Kuijf; Susanne J van Veluw; Mirjam I Geerlings; Max A Viergever; Geert Jan Biessels; Koen L Vincken
Journal:  Neuroinformatics       Date:  2014-07

2.  Graph-partitioned spatial priors for functional magnetic resonance images.

Authors:  L M Harrison; W Penny; G Flandin; C C Ruff; N Weiskopf; K J Friston
Journal:  Neuroimage       Date:  2008-08-23       Impact factor: 6.556

3.  Fully automated segmentation of the pons and midbrain using human T1 MR brain images.

Authors:  Salvatore Nigro; Antonio Cerasa; Giancarlo Zito; Paolo Perrotta; Francesco Chiaravalloti; Giulia Donzuso; Franceso Fera; Eleonora Bilotta; Pietro Pantano; Aldo Quattrone
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

  3 in total

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