Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification

By J. Kim, Vivek Kumar Singh, Jun Ki Lee, Jason P. Lerch, Y. Ad-Dab'bagh, David MacDonald, Jong-Min Lee, Sun I. Kim, Alan C. Evans. NeuroImage, 2005

857 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/38cee36ac383568e5f020ecfeebed40264c9c6ad

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In Computer Vision and Pattern Recognition

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

The NIH MRI study of normal brain development (2006, neutral): “6, MacDonald et al., 2000; Kabani et al., 2001; Kim et al., 2005; Lerch and Evans, 2005).”
Accelerated Brain Gray Matter Loss in Fibromyalgia Patients: Premature Aging of the Brain? (2007, methodology): “Voxels with an effect of insufficient image resolution leading to a mixing of different tissue types were corrected with a partial volume estimation algorithm, which classified a voxel continuously rather than discretely (Kim et al., 2005).”
Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease (2011, methodology): “…hemispheres and the inner and outer surfaces of the cortex were extracted according to intersections between WM and GM (white matter surface, WMS) as well as GM and CSF (grey matter surface, GMS) using the Constrained Laplacian-Based Automated Segmentation with Proximities (CLASP) algorithm [44].”
Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements (2014, methodology): “Similar to other surface-based cortical thickness estimation approaches (e.g., Davatzikos and Bryan, 1996; Kim et al., 2005; and FreeSurfer cortical thicknessmeasurements, NeuroImage (2014), T F 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87…”
Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI (2006, methodology): “which does not contain a coupled surface constraint [8].”
Cortical thickness and central surface estimation (2013, methodology): “Skeleton-based reconstruction of the outer boundary is used by 70 CLASP (Kim et al., 2005; Lee et al., 2006a,2006b; Lerch and Evans, 71 2005), CRUISE (Han et al., 2004; Tosun et al., 2004; Xu et al., 1999), 72 Caret (Van Essen et al., 2001), the Laplacian approach (Acosta et al., 73 2009; Haidar…”
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets (2019, methodology): “Spin permutation analysis leverages spherical representations of the cerebral cortex, such as those derived from FreeSurfer 58 or CIVET 59 , to address the problem of spatial autocorrelation in statistical inference.”
Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex (2012, methodology): “The inner and outer gray matter surfaces were then automatically extracted from each hemisphere using the CLASP algorithm (Kim et al., 2005; MacDonald et al., 2000).”
Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease (2008, methodology): “Our methods to automatically measure cortical thickness have been described previously (MacDonald et al., 2000; Kim et al., 2005).”
Networks of anatomical covariance (2013, background): “Thus any comparison of network parameters across studies must consider the nodal density (Kötter and Wanke, 2005).”
Gender difference analysis of cortical thickness in healthy young adults with surface-based methods (2006, methodology): “Cortical surfaces were automatically extracted from each MR volume using the Constrained Laplacian-based Automated Segmentation with Proximities (CLASP) algorithm (Kim et al., 2005), which is an improvement of the conventional Automated”
Brain Functional Localization: A Survey of Image Registration Techniques (2007, methodology): “In other work, a method based on filling a cortical mesh with gyral labels has been developed [315], and a surface feature extraction algorithm based on Laplacian maps has been developed [285].”
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”
An unbiased iterative group registration template for cortical surface analysis (2007, methodology): “, 1994a,b) to give Talairach space tissue class images, fromwhich 302 hemispheric surfaces were extracted (one subject failed the surface extraction process) using the CLASP algorithm (Kim et al., 2005; Lee et al., 2006).”
Cortical Oscillatory Activity and Motor Control in Pediatric Stroke Patients With Hemidystonia (2025, unknown): “To aid anatomical visualization of source activity relative to cortical anatomy, SAM beamformer images were interpolated onto high-resolution cortical surfaces created using the CIVET image-processing pipeline (Kim et al. 2005).”