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Automated versus manual segmentation of brain region volumes in former football players.

NeuroImage. Clinical | 2018

To determine whether or not automated FreeSurfer segmentation of brain regions considered important in repetitive head trauma can be analyzed accurately without manual correction.

Pubmed ID: 29876273 RIS Download

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM074905
  • Agency: NIA NIH HHS, United States
    Id: P30 AG013846
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS100952
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS078337
  • Agency: NINDS NIH HHS, United States
    Id: F31 NS081957
  • Agency: NINDS NIH HHS, United States
    Id: F32 NS096803
  • Agency: NIBIB NIH HHS, United States
    Id: P41 EB015902

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This is a list of tools and resources that we have found mentioned in this publication.


FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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3D Slicer (tool)

RRID:SCR_005619

A free, open source software package for visualization and image analysis including registration, segmentation, and quantification of medical image data. Slicer provides a graphical user interface to a powerful set of tools so they can be used by end-user clinicians and researchers alike. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X. Slicer is based on VTK (http://public.kitware.com/vtk) and has a modular architecture for easy addition of new functionality. It uses an XML-based file format called MRML - Medical Reality Markup Language which can be used as an interchange format among medical imaging applications. Slicer is primarily written in C++ and Tcl.

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