A Unified Statistical Approach to Deformation-Based Morphometry

By Moo K. Chung, Keith J. Worsley, Tomás Paus, C. Cherif, Alan C. Evans. NeuroImage, 2001

456 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/49de87a02dc4fb4660e00b5034100ab88eb8611d

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Citations in the corpus

Diffeomorphic Registration Using B-Splines (2006, background): “the deformation field, is analyzed further, for example in deformation-based morphometry [13,14]) or for the”
Networks of anatomical covariance (2013, methodology): “…have used a voxelwise deformation-based morphometry (DBM) to capture local shape change, an approach that is arguably more sensitive than VBM since it requires no a priori knowledge of GM or WM distributions, and may better detect subtle GM signals (Ashburner and Friston, 2000; Chung et al., 2001).”
Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration (2003, methodology): “Current morphometric methods can be classified into voxel-based [43], [44] or deformation-based methods [45], [46].”
Brain templates and atlases (2012, unknown): “…2007, Ashburner and Friston, 2005, 2009, 2011, Ashburner and Klöppel, 2010; Auzias et al., 2011; Beg et al., 2005; Christensen et al., 1997; Chung et al., 2001; Grenander and Miller, 2007; Guo et al., 2005; Lian and Davatzikos, 2011; Miller, 2004; Miller et al., 1993, 2002, 2006; Thompson…”
Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study (2008, methodology): “A variety of VBM-type methods exist (Ashburner and Friston, 2000; Chung et al., 2001; Davatzikos et al., 2001, 1996; Thompson et al., 2001), which generally fall under the umbrella of the field of computational neuroanatomy (Ashburner et al.”
Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning (2011, methodology): “The Jacobian determinant of the deformation fields, which provides an index of voxel expansion and contraction, was computed at every voxel (Chung et al., 2001).”
COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements (2007, methodology): “These limitations can be effectively overcome by methods generally referred to as High-Dimensional Morphological Analysis (HDMA), such as voxel-based and deformation-based morphometrical analysis methods [2-5].”
Unified univariate and multivariate random field theory. (2004, methodology): “MRI images were taken after the trauma, and the multivariate data were q = 3 component vector deformations needed to warp the MRI images to an atlas standard (Collins et al., 1995; Chung et al., 2001) sampled on a 2mm voxel lattice.”
Why voxel-based morphometric analysis should be used with great caution when characterizing group differences (2004, methodology): “Voxel-wise analysis of various morphometric measurements (Ashburner and Friston, 2000; Chung et al., 2001; Davatzikos et al., 1996, 2001; Thompson et al., 1997) has gained attention in the neuroimaging literature (Good et al., 2002; Hulshoff Pol et al., 2001; Job et al., 2002; Kubicki et al., 2002;…”