https://github.com/muschellij2/drammsr

Create R package for DRAMMS
https://github.com/muschellij2/drammsr

Last synced: about 1 month ago
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Create R package for DRAMMS

• Host: GitHub
• URL: https://github.com/muschellij2/drammsr
• Owner: muschellij2
• License: other
• Created: 2015-03-07T21:48:41.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2021-01-11T20:20:30.000Z (almost 4 years ago)
• Last Synced: 2024-10-16T08:22:04.872Z (3 months ago)
• Language: C++
• Size: 57 MB
• Stars: 5
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# drammsr

Create R package for DRAMMS

[![Travis-CI Build Status](https://travis-ci.org/muschellij2/drammsr.png?branch=master)](https://travis-ci.org/muschellij2/drammsr)

This package will install Deformable Registration via Attribute Matching and Mutual-Saliency Weighting (DRAMMS)

(http://www.cbica.upenn.edu/sbia/software/dramms):

Deformable Registration via Attribute Matching and Mutual-Saliency Weighting (DRAMMS) [MedIA2011](http://www.sciencedirect.com/science/article/pii/S1361841510000940), is a software package designed for 2D-to-2D and 3D-to-3D image registration tasks.

Some typical applications of DRAMMS include,

Cross-subject registration of the same organ (can be brain, breast, cardiac, etc);

Mono- and Multi-modality registration (MRI, CT, histology);

Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc);

Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts).

DRAMMS is implemented as a Unix command-line tool. It is fully automatic and easy to use — users input two images, and DRAMMS will output the registered image and the associated deformation. No need for pre-segmentation of structures, or prior knowledge, or human initialization/interventions.