Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest

By Ioannis S. Gousias, Daniel Rueckert, Rolf A. Heckemann, L. Dyet, James P. Boardman, A. David Edwards, Alexander Hammers. NeuroImage, 2008

391 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health

View Paper: https://www.semanticscholar.org/paper/bf097bd184059b5f25cdd380734f3a210fcf19c9

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In Cognitive Neuroscience

In Molecular Biology

In Pediatrics, Perinatology and Child Health

Citations in the corpus

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease (2013, neutral): “Protocols for the manual delineation are described in Hammers et al. (2003) and Gousias et al. (2008).”
ITK: enabling reproducible research and open science (2014, neutral): “In this case, the publically available XIX atlas (Hammers et al., 2003; Gousias et al., 2008; Bauer et al., 2011a) is applied.”
The Insight ToolKit image registration framework (2014, methodology): “As ground truth, we use T1 MRI data from 33 2-year old subjects as described in Gousias et al. (2008) and available at http://www.brain-development.org.”
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation (2011, methodology): “The latest published methods based on the nonlinear warping of the best templates and involving a label fusion step (Collins and Pruessner, 2010; Gousias et al., 2008; Lotjonen et al., 2010) obtained kappa index values equal to or greater than 0.88.”
A Bayesian model of shape and appearance for subcortical brain segmentation (2011, positive): “Traditionally, a single average atlas has been used to define the structure segmentations (as in (Collins and Evans, 1997; Gouttard et al., 2007)) whereas recent methods (Gousias et al., 2008; Heckemann et al., 2006) propagate information from multiple atlases and fuse the results.”
The SRI24 Multi-Channel Atlas of Normal Adult Human Brain Structure (2009, result): “This is supported by increasing body of studies [e.g., Chou et al., 2008; Gousias et al., 2008; Heckemann et al., 2006; Klein and Hirsch, 2005; Klein et al., 2008; Rohlfing and Maurer, 2005; Rohlfing et al., 2004a,b; Svarer et al., 2005].”
A dynamic 4D probabilistic atlas of the developing brain (2011, background): “More recently multi-atlas techniques are gaining popularity (Gousias et al., 2008; Heckemann et al., 2006; Rohlfing and Maurer, 2005; Rohlfing et al., 2004; Shi et al., 2010b; Warfield et al., 2004) because of their robustness and increased computational power available for processing of the…”
SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration (2016, neutral): “org [14, 11].”
volBrain: An Online MRI Brain Volumetry System (2015, methodology): “MRI data from the following databases were used:”
Graph analysis of functional brain networks: practical issues in translational neuroscience (2014, background): “In the latter cases, referring to “graphs”, which do not make explicit assumptions on the nature of the links but rather emphasize the aspect of mathematical modeling, seems to be more appropriate and can be used to improve the interdisciplinary exchange.”
Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression (2012, neutral): “…Boardman and Dyet, 2007; Boardman et al., 2003, 2006, 2007; Counsell et al., 2002; Counsell et al., 2003; Ferrie et al., 1999; Gao et al., 2009; Gousias et al., 2008; Huppi et al., 1998; Laule et al., 2007; Ment et al., 2009; Paus et al., 1999, 2001; Prastawa et al., 2005, 2010; Serag et al.,…”
Multi-Atlas Segmentation of Biomedical Images: A Survey (2014, methodology): “…has been employed for the segmentation of cortical and subcortical structures in MRI data from neonates and infants, too (Gholipour et al., 2012; Gousias et al., 2008, 2010, 2013; Shi et al., 2010; Wang et al., 2014b), in which the contrast inversion due to the ongoing myelination complicates…”
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease (2013, methodology): “Thirty labeled T1w images containing 83 ROIs each (Hammers et al., 2003; Gousias et al., 2008) were used as atlas images.”