Group :: Ciências/Medicina
RPM: greedy
Principal Changelog Spec Patches Sources Download Gear Bugs e FR Repocop
A versão atual: 1.0.1-alt1.git79e69e3
Data da compilação: 30 julho 2019, 00:06 ( 246.4 weeks ago )
Tamanho:: 7.66 Mb
Home page: https://sites.google.com/view/greedyreg/about
Licença: GPLv3
Sumário: Very fast greedy diffeomorphic registration code
Descrição:
Lista dos contribuidores Lista dos rpms provida por esta srpm:
ACL:
Data da compilação: 30 julho 2019, 00:06 ( 246.4 weeks ago )
Tamanho:: 7.66 Mb
Home page: https://sites.google.com/view/greedyreg/about
Licença: GPLv3
Sumário: Very fast greedy diffeomorphic registration code
Descrição:
Greedy is a tool for fast medical image registration.
It was developed by Paul Yushkevich
at the Penn Image Computing and Science Lab at the University of Pennsylvania.
The motivation for developing greedy was to have a really fast
CPU-based deformable image registration tool that could be used in applications
where many images have to be registered in parallel
- like multi-atlas image segmentation.
Greedy borrows many concepts (and some implementation strategies)
from the Symmetric Normalization (SyN) in ANTS.
But greedy is non-symmetric, which makes it faster
(in applications like multi-atlas segmentation,
symmetric property is not required).
Greedy also uses highly optimized code for
image metric computation that adds extra speed.
This work is funded by the NIH/NIBIB under
grants R01 EB-017255 and R01 EB-014146
Main Features
- Greedy diffeomorphic image registration
- Affine and rigid image registration (also, matching by moments of inertia)
- Support for normalized cross-correlation, mutual information, and sum of squared differences metrics
- Multiple images and multi-component images can be registered
- Fast CPU-based implementation (takes advantage of multi-threading and SIMD)
- Supports 2D and 3D registration
- Masks can be supplied for restricting registration to a region
- Supports NIFTI image format
- Single executable for registration and image/mesh re-slicing
- High-level API that can be called from other software (e.g., ITK-SNAP)
- Free open-source software (licensed under GPL3)
- It works!
Mantenedor currente: Aleksei Nikiforov It was developed by Paul Yushkevich
at the Penn Image Computing and Science Lab at the University of Pennsylvania.
The motivation for developing greedy was to have a really fast
CPU-based deformable image registration tool that could be used in applications
where many images have to be registered in parallel
- like multi-atlas image segmentation.
Greedy borrows many concepts (and some implementation strategies)
from the Symmetric Normalization (SyN) in ANTS.
But greedy is non-symmetric, which makes it faster
(in applications like multi-atlas segmentation,
symmetric property is not required).
Greedy also uses highly optimized code for
image metric computation that adds extra speed.
This work is funded by the NIH/NIBIB under
grants R01 EB-017255 and R01 EB-014146
Main Features
- Greedy diffeomorphic image registration
- Affine and rigid image registration (also, matching by moments of inertia)
- Support for normalized cross-correlation, mutual information, and sum of squared differences metrics
- Multiple images and multi-component images can be registered
- Fast CPU-based implementation (takes advantage of multi-threading and SIMD)
- Supports 2D and 3D registration
- Masks can be supplied for restricting registration to a region
- Supports NIFTI image format
- Single executable for registration and image/mesh re-slicing
- High-level API that can be called from other software (e.g., ITK-SNAP)
- Free open-source software (licensed under GPL3)
- It works!
Lista dos contribuidores Lista dos rpms provida por esta srpm:
- greedy
- greedy-debuginfo
- libgreedy
- libgreedy-debuginfo
- libgreedy-devel