URL: http://www.nitrc.org/projects/gpu-areg/
Proper Citation: GPU based affine registration (RRID:SCR_009486)
Description: This tool can be used as a command line module with 3D Slicer (version 3 and above) for the affine registration of image volumes. The registration toolbox has 2 options: 1) a Mutual Information based registration, 2) a Sum-of-Square differences registration method. The final output is in the same space as the fixed image. You do require to have CUDA v2.2 or greater installed on your system with atleast 256MB Nvidia GPU memmory card. All operating systems are supported, but take a look at the CMakeLists.txt file for how to compile for you system.
Abbreviations: GPU based affine registration
Resource Type: data processing software, image analysis software, registration software, software application, software resource
Keywords: magnetic resonance
Availability: GPL-Style Open unspecified license, Http://www.nitrc.org/include/glossary.php#573
Resource Name: GPU based affine registration
Resource ID: SCR_009486
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
