High-Resolution Random Mesh Algorithms for Creating a Probabilistic 3D Surface Atlas of the Human Brain

@article{Thompson1996HighResolutionRM,
  title={High-Resolution Random Mesh Algorithms for Creating a Probabilistic 3D Surface Atlas of the Human Brain},
  author={Paul M. Thompson and Craig Schwartz and Arthur W. Toga},
  journal={NeuroImage},
  year={1996},
  volume={3},
  pages={19-34}
}
Striking variations exist, across individuals, in the internal and external geometry of the brain. Such normal variations in the size, orientation, topology, and geometric complexity of cortical and subcortical structures have complicated the problem of quantifying deviations from normal anatomy and of developing standardized neuroanatomical atlases. This paper describes the design, implementation, and results of a technique for creating a three-dimensional (3D) probabilistic surface atlas of… 
Visualization and Mapping of Anatomic Abnormalities Using a Probabilistic Brain Atlas Based on Random Fluid Transformations
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We have devised, implemented and tested a fast, spatially accurate technique for calculating the high-dimensional deformation field relating the brain anatomies of an arbitrary pair of subjects. The
A surface-based technique for warping three-dimensional images of the brain
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This work represents anatomical variations in the form of statistical models, and embed these statistics into a 3-D digital brain atlas which is built by registering a training set of brain MRI volumes with the atlas.
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    2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
  • 2008
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An automated system to identify and map genetic and environmental effects on brain structure in large brain MRI databases is developed, and surface-based statistical maps revealed 3D heritability patterns, and their significance, with and without adjustments for global brain scale.
Anatomical standardization of the human brain in euclidean 3-space and on the cortical 2-manifold
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The first part of this thesis develops two measures of alignment consistency that are used to evaluate performance of a standardization method and proposes an algorithm for highly-flexible deformation in 2D of a template cortex to an individual.
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References

SHOWING 1-10 OF 41 REFERENCES
Warping of a computerized 3-D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis
TLDR
3-D computerized brain atlas for topographical and functional analysis of brain sub-regions and results indicate a substantial component of morphometric variability is not accounted for by linear scaling has profound implications for applications which employ stereotactic coordinate systems which map individual brains into a common reference frame.
Human cingulate and paracingulate sulci: pattern, variability, asymmetry, and probabilistic map.
TLDR
The results revealed considerable variability in the location of some of the above morphological features and a striking hemispheric asymmetry in the prominence of the PCS.
Brain surface cortical sulcal lengths: quantification with three-dimensional MR imaging.
TLDR
The repeatability and accuracy of brain surface cortical sulcal length measurements obtained with three-dimensional reconstructions of volumetric, gradient-echo magnetic resonance (MR) images were tested and all measurements from reconstructed images had high repeatability, and there were no statistically significant differences between measurement trials.
Postmortem cryosectioning as an anatomic reference for human brain mapping.
TLDR
The densitometric and topographic detail of high resolution 3D digital postmortem cryosectioned brain images were examined to permit comprehensive morphometric analyses necessary for an anatomic framework to a digital atlas of the human brain.
An MRI-Based Probabilistic Atlas of Neuroanatomy
TLDR
Two new acquisition techniques with gradient echo as opposed to spin echo techniques allow for an improved signal-to-noise ratio in thin slices in times compatible with clinical examinations and the advent of high resolution MRI scanning offers finer spatial and contrast resolution in normal brain in vivo.
Mathematical textbook of deformable neuroanatomies.
Mathematical techniques are presented for the transformation of digital anatomical textbooks from the ideal to the individual, allowing for the representation of the variabilities manifest in normal
Cerebral Cortical Localization: Application and Validation of the Proportional Grid System in MR Imaging
TLDR
The proportional grid proved to be valid for indirect cerebral cortical localization in the regions studied and was applied to magnetic resonance imaging of 30 brain hemispheres of healthy adult volunteers.
Two‐dimensional maps of the cerebral cortex
A procedure is described for constructing two‐dimensional, unfolded representations of the cerebral cortex. The technique is based on information contained in outlines of histological sections, and
Variation of perisylvian and calcarine anatomic landmarks within stereotaxic proportional coordinates.
TLDR
The findings indicate that macroanatomic individuality in the cerebral surface cannot be accounted for adequately by proportional coordinates, and that this method does not allow precise definition of anatomically based regions of interest for functional imaging.
Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology.
TLDR
Direct reference to the landmarks that frame these fields may be expected to be a more reliable basis for functional mapping thanreference to a template or stereotactic coordinate-based system of reference to a standard or idealized brain.
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