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Resource:ANTS - Advanced Normalization ToolS

Name: Resource:ANTS - Advanced Normalization ToolS
Description: The ANTS package is designed to enable researchers with advanced tools for brain and image mapping. Many of the ANTS registration tools are diffeomorphic*, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD).
  • Diffeomorphism: a differentiable map with differentiable inverse. In general, these maps are generated by integrating a time-dependent velocity field.

ANTS Applications:

  • Gray matter morphometry based on the jacobian and/or cortical thickness.
  • Group and single-subject optimal templates.
  • Multivariate DT + T1 brain templates and group studies.
  • Longitudinal brain mapping -- special similarity metric options.
  • Neonatal and pediatric brain segmentation.
  • Pediatric brain mapping.
  • T1 brain mapping guided by tractography and connectivity.
  • Diffusion tensor registration based on scalar or connectivity data.
  • Brain mapping in the presence of lesions.
  • Lung and pulmonary tree registration.
  • User-guided hippocampus labeling, also of sub-fields.
  • Group studies and statistical analysis of cortical thickness, white matter volume, diffusion tensor-derived metrics such as fractional anisotropy and mean diffusion.
Other Name(s): Advanced Normalization Tools
Parent Organization: University of Pennsylvania; Pennsylvania; USA
Supporting Agency: National Institute of Biomedical Imaging and Bioengineering
Related to: Resource:NITRC
Resource Type(s): Software application, Segmentation software, Image processing software
Keywords: Algorithm, Atlas Application, Morphology, Segmentation, Image registration, Temporal Transformation
Grant: R01-EB006266-01
Abbreviation: ANTS
Resource: Resource
URL: http://www.picsl.upenn.edu/ANTS/
Availability: BSD License
Id: nlx_75959
Link to OWL / RDF: Download this content as OWL/RDF

Categories related to Resource:ANTS - Advanced Normalization ToolS

Resource:ANTsR, Resource:Segmentation of Hippocampus Subfields

Curation status: Curated

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Notes

This page uses this default form:Resource

Alt. NITRC URL: http://www.nitrc.org/projects/ants

Contributors

Aarnaud, MalkamG, Memartone



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Facts about Resource:ANTS - Advanced Normalization ToolSRDF feed
AbbrevANTS  +
AvailabilityBSD License  +
CurationStatusuncurated  +
DefiningCitationhttp://www.picsl.upenn.edu/ANTS/  +
DefinitionThe ANTS package is designed to enable res The ANTS package is designed to enable researchers with advanced tools for brain and image mapping. Many of the ANTS registration tools are diffeomorphic*, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD).
  • Diffeomorphism: a differentiable map with differentiable inverse. In general, these maps are generated by integrating a time-dependent velocity field.

ANTS Applications:

  • Gray matter morphometry based on the jacobian and/or cortical thickness.
  • Group and single-subject optimal templates.
  • Multivariate DT + T1 brain templates and group studies.
  • Longitudinal brain mapping -- special similarity metric options.
  • Neonatal and pediatric brain segmentation.
  • Pediatric brain mapping.
  • T1 brain mapping guided by tractography and connectivity.
  • Diffusion tensor registration based on scalar or connectivity data.
  • Brain mapping in the presence of lesions.
  • Lung and pulmonary tree registration.
  • User-guided hippocampus labeling, also of sub-fields.
  • Group studies and statistical analysis of cortical thickness, white matter volume, diffusion tensor-derived metrics such as fractional anisotropy and mean diffusion. fractional anisotropy and mean diffusion.
ExampleImageANTS.PNG  +
GrantCategory:R01-EB006266-01   +
Has default formThis property is a special property in this wiki.Resource  +
Has roleSoftware application  +, Segmentation software  +, and Image processing software  +
Idnlx_75959  +
Is part ofUniversity of Pennsylvania; Pennsylvania; USA  +
KeywordsAlgorithm  +, Atlas Application  +, Morphology  +, Segmentation  +, Image registration  +, and Temporal Transformation  +
LabelResource:ANTS - Advanced Normalization ToolS  +
ModifiedDate29 September 2012  +
Page has default formThis property is a special property in this wiki.Resource  +
RelatedToResource:NITRC  +
SuperCategoryResource  +
Supporting AgencyNational Institute of Biomedical Imaging and Bioengineering  +
SynonymAdvanced Normalization Tools  +