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

Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation

“…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. As discussed by Aljabar et al (2009), the accuracy obtained with these techniques reach the limit of the variability of expert human raters.…”

“…As discussed by Aljabar et al (2009), the accuracy obtained with these techniques reach the limit of the variability of expert human raters. Gousias et al (2008) reported a mean kappa index of 0.88 with the use of a B-spline-based nonlinear registration on the brain of a 2-year-old. Lotjonen et al (2010) proposed two intensity-based models to improve label fusion: an extension of the graph-cut-based method described by van der Lijn et al (2008) and an expectation-maximization (EM) approach.…”

“…In contrast to brain tissue classification where the intensity of the MR signal can be used to segment different tissue types, anatomical segmentation usually requires information derived from the manual segmentations done by experts (i.e., expert priors), since anatomical structures can be composed of several tissue types and distinct anatomical structures can have the same MR signal properties. To overcome this difficulty, several automatic methods of segmentation have been proposed, such as deformable models or region growing (Chupin et al, 2007;Ghanei et al, 1998;Shen et al, 2002), appearance-based models (Duchesne et al, 2002;Hu and Collins, 2007), and atlas/template-warping techniques (Aljabar et al, 2009;Barnes et al, 2008;Collins et al, 1995;Fischl et al, 2002;Gousias et al, 2008;Hammers et al, 2007;Heckemann et al, 2006;Rohlfing et al, 2004;Zhou and Rajapakse, 2005).…”

[18F]AV‐1451 PET in behavioral variant frontotemporal dementia due to MAPT mutation

“…In older subjects with variable perfusion, kinetic modeling overcomes the potential problem with standardized uptake value ratios arising from a failure to reach steady state. Brain parcellation used the Hammers brain atlas,15 expanded to include subcortical structures 16…”

Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease

“…In recent years, numerous methods have been proposed to automatically segment the hippocampus (Barnes et al, 2008;Bishop et al, 2011;Chupin et al, 2009b;Collins and Pruessner, 2010;Coupe et al, 2011b;Gousias et al, 2008;Khan et al, 2011;Lotjonen et al, 2010;Morey et al, 2009;Pohl et al, 2007;van der Lijn et al, 2008;Wang et al, 2011). Among these methods, several have been used to classify AD patients using HC volume (Chupin et al, 2009a;Colliot et al, 2008;Morra et al, 2010;Mueller et al, 2010).…”