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Results 1 - 10
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Cortical surface-based analysis. I. Segmentation and surface reconstruction
- Neuroimage
, 1999
"... Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical pr ..."
Abstract
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Cited by 450 (42 self)
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Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical
Cortical surface-based analysis II: Inflation, flattening, and a surface-based coordinate system
- NEUROIMAGE
, 1999
"... The surface of the human cerebral cortex is a highly folded sheet with the majority of its surface area buried within folds. As such, it is a difficult domain for computational as well as visualization purposes. We have therefore designed a set of procedures for modifying the representation of the c ..."
Abstract
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Cited by 738 (57 self)
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of the cortical surface to (i) inflate it so that activity buried inside sulci may be visualized, (ii) cut and flatten an entire hemisphere, and (iii) transform a hemisphere into a simple parameterizable surface such as a sphere for the purpose of establishing a surface-based coordinate system.
High-resolution intersubject averaging and a coordinate system for the cortical surface
- Hum. Brain Mapp
, 1999
"... Abstract: The neurons of the human cerebral cortex are arranged in a highly folded sheet, with the majority of the cortical surface area buried in folds. Cortical maps are typically arranged with a topography oriented parallel to the cortical surface. Despite this unambiguous sheetlike geometry, the ..."
Abstract
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Cited by 339 (44 self)
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Abstract: The neurons of the human cerebral cortex are arranged in a highly folded sheet, with the majority of the cortical surface area buried in folds. Cortical maps are typically arranged with a topography oriented parallel to the cortical surface. Despite this unambiguous sheetlike geometry
Visualization and Measurement of the Cortical Surface
, 2000
"... Much of the human cortical surface is obscured from view by the complex pattern of folds, making the spatial relationship between different surface locations hard to interpret. Methods for viewing large portions of the brain's surface in a single flattened representation are described. The f ..."
Abstract
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Cited by 40 (2 self)
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Much of the human cortical surface is obscured from view by the complex pattern of folds, making the spatial relationship between different surface locations hard to interpret. Methods for viewing large portions of the brain's surface in a single flattened representation are described
Diffusion smoothing on the cortical surface
- NeuroImage
, 2001
"... Gaussian kernel smoothing has been widely used in either 2D flat or 3D volume images, but it does not work on the curved cortical surface. However, by reformulating Gaussian kernel smoothing as a solution to a diffusion equation on a 2D manifold, we can generalize it to the cortical surface. This ge ..."
Abstract
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Cited by 10 (0 self)
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Gaussian kernel smoothing has been widely used in either 2D flat or 3D volume images, but it does not work on the curved cortical surface. However, by reformulating Gaussian kernel smoothing as a solution to a diffusion equation on a 2D manifold, we can generalize it to the cortical surface
Statistical Analysis of Cortical Surfaces
- DETECTING STRUCTURAL CHANGES IN WHOLE BRAIN
"... Introduction Cortical surfaces can now be extracted from MRI images by surface segmentation and matching using 3D deformations (1). In this abstract we present methods for the statistical analysis of these surfaces that can be used to detect abnormal deformations in an individual or between groups, ..."
Abstract
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Cited by 3 (2 self)
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Introduction Cortical surfaces can now be extracted from MRI images by surface segmentation and matching using 3D deformations (1). In this abstract we present methods for the statistical analysis of these surfaces that can be used to detect abnormal deformations in an individual or between groups
Brainsuite: An automated cortical surface identification tool
- Med. Image Anal
, 2002
"... We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool provides a sequence of low-level operations in a single package that can produce accurate brain segmentations in clinical t ..."
Abstract
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Cited by 105 (15 self)
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We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool provides a sequence of low-level operations in a single package that can produce accurate brain segmentations in clinical
Encoding Cortical Surface by Spherical Harmonics
"... Abstract: There is a lack of unified statistical modeling framework for cerebral shape asymmetry analysis in literature. Most previous approaches start with flip-ping the 3D magnetic resonance images (MRI). The anatomical correspondence across the hemispheres is then established by registering the o ..."
Abstract
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Cited by 13 (7 self)
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the original image to the flipped image. A difference of an anatomical index between these two images is used as a measure of cerebral asymmetry. We present a radically different asymmetry analysis that utilizes a novel weighted spherical harmonic representation of cortical surfaces. The weighted spherical
Hamilton-Jacobi Skeleton on Cortical Surfaces
, 2007
"... In this paper, we propose a new method to construct graphical representations of cortical folding patterns by computing skeletons on triangulated cortical surfaces. In our approach, a cortical surface is first partitioned into sulcal and gyral regions via the solution of a variational problem using ..."
Abstract
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Cited by 9 (3 self)
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In this paper, we propose a new method to construct graphical representations of cortical folding patterns by computing skeletons on triangulated cortical surfaces. In our approach, a cortical surface is first partitioned into sulcal and gyral regions via the solution of a variational problem using
Diffeomorphic Spectral Matching of Cortical Surfaces
"... Abstract. Accurate matching of cortical surfaces is necessary in many neuroscience applications. In this context diffeomorphisms are often sought, because they facilitate further statistical analysis and atlas building. Present methods for computing diffeomorphisms are based on optimizing flows or o ..."
Abstract
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Cited by 1 (0 self)
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Abstract. Accurate matching of cortical surfaces is necessary in many neuroscience applications. In this context diffeomorphisms are often sought, because they facilitate further statistical analysis and atlas building. Present methods for computing diffeomorphisms are based on optimizing flows
Results 1 - 10
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