Documentation/Nightly/Extensions/DTI-Reg

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Introduction and Acknowledgements

Extension: DTI-Reg Acknowledgments: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. DTI-Reg is an extension that performs pair-wise DTI registration, using scalar FA map to drive the registration. Author: Francois Budin (NIRAL) Contributor1: Clement Vachet (SCI) Contributor2: Martin Styner (NIRAL) Contact: Francois Budin, <email>fbudin@unc.edu</email> Website: https://www.nitrc.org/projects/dtireg License: Apache License v2.0

Neuro Image Research and Analysis Laboratories (NIRAL)   University of North Carolina at Chapel Hill (UNC)   Scientific Computing and Imaging Institute (SCI)   National Alliance for Medical Image Computing (NA-MIC)

Module Description

DTI-Reg is an extension that performs pair-wise DTI registration, using scalar FA map to drive the registration.
Individual steps of the pair-wise registration pipeline are performed via external applications - some of them being 3D Slicer modules. Starting with two input DTI images, scalar FA maps are generated via dtiprocess. Registration is then performed between these FA maps, via BRAINSFit/BRAINSDemonWarp or ANTS -Advanced Normalization Tools-, which provide different registration schemes: rigid, affine, BSpline, diffeomorphic, logDemons. The final deformation is then applied to the source DTI image via ResampleDTIlogEuclidean.

Use Cases

Misaligned Diffusion Tensor Images

Aligned DTIs

Tutorials

A tutorial can be found here

Panels and their use

Module UI

Similar Modules

See ResampleDTIlogEuclidean and DTIAtlasBuilder.

Information for Developers

The source code of DTI-Reg is available on GitHub. It is published under an Apache License v2.0.