Ants

Enables researchers with advanced tools for brain and image mapping
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Ants Ranking & Summary

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  • Rating:
  • License:
  • Freeware
  • Price:
  • FREE
  • Publisher Name:
  • ANTS Team
  • Publisher web site:
  • http://www.picsl.upenn.edu/ANTS/index.html
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 47.2 MB

Ants Tags


Ants Description

Enables researchers with advanced tools for brain and image mapping Many of the ANTs (Advanced Normalization Tools) registration tools are diffeomorphic, but deformation (BSpline and elastic) 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).Image registration with variable transformations (elastic, diffeomorphic, diffeomorphisms, unbiased) and similarity metrics (landmarks, cross-correlation, mutual information, etc). Designed for neuroscience and medical imaging researchers and users. Here are some key features of "ANTS": · 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. What's New in This Release: · Release 1.0 Diffusion tensor mapping updates, improved validation and performance, superior documentation, better user-friendly scripts, augmented balance of landmark energy term with image similarity terms for multivariate mapping. · Image segmentation methods -- which can incorporate user-defined priors -- are now available! · Cortical thickness estimates now more stable with improved segmentation methods. · A couple of bugs fixed in Jacobian and grid generation. Interfaces with PipeDream for pipelining:


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