Measuring the thickness of the human cerebral cortex from magnetic resonance images.

By Bruce Fischl, A. M. Dale. Proceedings of the National Academy of Sciences of the United States of America, 2000

5,977 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d8c44b1cd38a27c78af9c9444d8be019e2f26417

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

A hybrid approach to the skull stripping problem in MRI (2004, neutral): “Skull-stripping methods are often used as a preprocessing step in cortical surface reconstruction (Dale et al., 1999; Fischl and Dale, 2000; Fischl et al., 1999a, 2001), or other morphometric analysis.”
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children (2004, positive): “Thus , it is likely that our in vivo thickness measures are greater than those reported by the other research group ( Fischl and Dale , 2000 ) because of the immature state of the cortex in the children we studied .”
Accurate and Robust Brain Image Alignment using Boundary-based Registration (2009, background): “We believe that cortex is the best target for two reasons: (1) it is highly folded, allowing dense sampling of 3D space, and, (2) it is very thin (2.5 mm on average; Fischl and Dale, 2000), implying that small alignment errors will generate large changes in the cost function.”
The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements (2012, background): “The cortical thickness value at each vertex on the white surface is calculated as the avarage of the distance from a point on the white surface to the closest point on the pial surface and from that point back to the closest point on the white surface [13].”
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies (2003, methodology): “The gray/white matter interface and the pial surface were automatically segmented from each MRI scan [3,7,8], followed by a registration step that brought the surfaces into correspondence by mapping them onto a unit sphere while minimizing distortions and then non-rigidly aligning the cortical foldi”
A review on neuroimaging‐based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages (2017, positive): “…the original brain images are registered to certain standardized stereotaxic spaces (Fischl et al., 1999), and cortical maps/features are computed (Fischl and Dale, 2000; Jones et al., 2000; MacDonald et al., 2000) and tessellated into various regions using existing atlas templates (Desikan et…”
Report Human Parietal Cortex Structure Predicts Individual Differences in Perceptual Rivalry (2010, methodology): “Reconstruction of the pial surface andGM/WMboundarywas performed for T1-weighted magnetic resonance (MR) images via the fully automated procedure implemented in FreeSurfer software [34, 35].”
Relevant Feature Set Estimation with a Knock-out Strategy and Random Forests (2015, positive): “…used the FreeSurfer software suite (https://freesurfer.nmr.mgh.harvard.edu) (Fischl, 2012) to compute subject-specific models of the cortical surface (Dale et al., 1999; Fischl et al., 1999a) and measure thickness across the entire cortical mantle (Fischl and Dale, 2000) based on T1-weighted MRI.”
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study (2018, background): “sMRI morphometric and image intensity analysis Morphometric measures include cortical thickness (Fischl and Dale, 2000; Rimol et al., 2010), area (Chen et al.”
FreeSurfer (2012, methodology): “…thickness such as von Economo (1929) in motor cortex, somatosensory cortex, gyral cortex, sulcal cortex and overall average cortical thickness (Fischl and Dale, 2000), comparison with manual measures from MRI in disease and control populations (Kuperberg et al., 2003), estimation of the…”
Age-Associated Reductions in Cerebral Blood Flow Are Independent from Regional Atrophy (2010, methodology): “, 2007), and surface deformation following intensity gradients to optimally place the grey/white and grey/CSF borders at the location where the greatest shift in intensity defines the transition to the other tissue class (Fischl and Dale, 2000).”
MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths (2009, positive): “Although the accuracy validation of automated segmentation methods has been performed against regional manual measurements derived from both in vivo and post-mortem brain scans ( Fischl and Dale, 2000, Fischl et al., 2002), the influence of image acquisition and data analyses parameters on the reli”
Quantitative Assessment of Structural Image Quality (2017, methodology): “Fifth, we examined how quantitative measures of image quality related to cortical thickness as measured by the popular FreeSurfer platform (Fischl and Dale, 2000).”
A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging (2009, background): “This may be achieved using image information and surface geometry to construct or fit a representation of the grey and white matter surfaces (Fischl and Dale, 2000; Jones et al., 2000; MacDonald et al., 2000; Miller et al., 2000; Zeng et al., 1999).”