Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI.
By David MacDonald, N. Kabani, D. Avis, Alan C. Evans. NeuroImage, 2000
914 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/0252c304b90a6d7ffb0d9f3af676b71e9fe0f23f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Bruce Fischl
- Alan C. Evans
- Yong He
- Zhang John Chen
- H. Rosas
- Christian Gaser
- Robert Dahnke
- Rachel Aine Yotter
In Computer Graphics and Computer-Aided Design
- Bruce Fischl
- Alan C. Evans
- Yong He
- Zhang John Chen
- Christian Gaser
- Robert Dahnke
- Rachel Aine Yotter
- Alex P. Zijdenbos
In Computer Vision and Pattern Recognition
- Bruce Fischl
- Alan C. Evans
- H. Rosas
- Christian Gaser
- Robert Dahnke
- David H. Salat
- Rachel Aine Yotter
- P. Cook
Citations in the corpus
- Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. (2007, methodology): “The inner and outer gray matter surfaces were then automatically extracted from each MR volume using the Constrained Laplacian-based Automated Segmentation with Proximities (CLASP) algorithm (MacDonald et al. 2000; Kim et al. 2005) and cortical thickness was measured in native space using the linked”
- Brain templates and atlases (2012, background): “…an averaged surface template (Auzias et al., 2011; Dale et al., 1999; Drury et al., 1996, 1999; Fischl et al., 1999a,b; Lyttelton et al., 2007; MacDonald et al., 2000; Schaer et al., 2008; Thompson and Toga, 1996; Thompson et al., 1997; van Essen, 2004, 2005; van Essen et al., 1998; Yeo et…”
- A hybrid approach to the skull stripping problem in MRI (2004, neutral): “Other methods can be found in [1], [15], [17], [24], [26], [28], [29] and [41].”
- Dynamics of Gray Matter Loss in Alzheimer's Disease (2003, methodology): “Three-dimensional cortical maps A surface model of the cortex was automatically extracted (MacDonald et al., 2000) for each subject and time point as described in our previous studies (Thompson et al.”
- Networks of anatomical covariance (2013, background): “Numerous studies have reported focal changes in morphology that may arise from experience or training (Bermudez et al., 2009; Lv et al., 2008; Maguire et al., 2000, 2003, 2006; Schneider et al., 2002) although there is always the caveat in a cross-sectional study that performance is a consequence…”
- Brain Functional Localization: A Survey of Image Registration Techniques (2007, methodology): “common approach for topology correction has been the use of deformable surface models [297]–[299].”
- Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths (2008, methodology): “…automated methods have been developed for segmenting and measuring the cerebral cortex from MRI data (Dale et al., 1999; Joshi et al., 1999; MacDonald et al., 1999; Xu et al., 1999; Zeng et al., 1999; van Essen et al., 2001; Shattuck and Leahy, 2002; Sowell et al., 2003; Barta et al.,…”
- FreeSurfer (2012, methodology): “This includes direct comparison of the thickness measures we compute against histological thickness measures in the same tissue (Rosas et al., 2002), using published measures of average thickness such as von Economo (1929) in motor cortex, somatosensory cortex, gyral cortex, sulcal cortex and overal”
- Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops (2007, background): “To this end, active contours [20] (explicit representations [3], [21]–[26] and implicit representations [27]–[29]), digital models [30]–[33], and registration methods [34]–[36] have proven to be extremely useful.”
- A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex (2005, neutral): “This average fiducial surface is conceptually similar to the surface atlases generated by MacDonald et al. (2000) and Chung et al. (2003), but it differs somewhat in shape owing to differences in the registration methods as well as the shapes of the individual contributing hemispheres and their…”
- Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach (2006, methodology): “Several methods for handling coupled surfaces have been proposed in recent years [48] , [49], [50], [51].”
- Cortical thickness and central surface estimation (2013, methodology): “…of the inner surface (FreeSurfer 81 (Dale et al., 1999; Fischl and Dale, 2000), DiReCT (Das et al., 2009), 82 Brainvoyager (Kriegeskorte and Goebel, 2001), Brainsuite (Shattuck 83 and Leahy, 2001; Zeng et al., 1999) or coupled surfaces (ASP (Kabani 84 et al., 2001; MacDonald et al., 2000).”
- A Topology Preserving Level Set Method for Geometric Deformable Models (2003, background): “Finally, the resulting contours do not contain self-intersections, which are computationally costly to prevent in parametric deformable models (see [21]).”
- Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification (2005, methodology): “developed a cortical surface extraction procedure known as Anatomic Segmentation using Proximity (ASP) (MacDonald, 1998; MacDonald et al., 2000).”
- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping (2016, neutral): “…cortical structure analysis (Fischl et al., 1999; Thompson et al., 2001), surface reconstruction (Tosun et al., 2006) and thickness estimation (MacDonald et al., 2000), as well as image registration (Klein et al., 2010a; Woods et al., 1993) and tissue segmentation (de Boer et al., 2010; Menze…”