Personal tools

Software

Some of our image registration software is available, to be used for research purposes only. Please cite the relevant publications as indicated when reporting on findings using our software. We are currently working towards making more software available, so watch this space! 


  • MIND: Modality Independent Shape Descriptor for Multi-modal Deformable Registration

Author: Mattias Heinrich.

Downloads (Matlab):

    • Modality independent neighbourhood descriptor: MIND.zip
    • Symmetric Gauss-Newton deformable registration: SymGN.zip
    • MIND and Gauss-Newton registration in 2D: GN-MIND2d.zip

 

If you use any of these implementations or in parts, please cite:

MP Heinrich, M Jenkinson, M Bhushan, T Matin, F Gleeson, M Brady, JA Schnabel. MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Analysis. Vol. 16(7) Oct. 2012, pp. 1423–1435, Special Issue on MICCAI 2011.

  • Deeds: Dense Displacement Sampling for Deformable Registration

Author: Mattias Heinrich.

Download C++ code: deeds-mst.zip

If you use this implementation or parts of it, please cite:

 "MRF-Based Deformable Registration and Ventilation Estimation of Lung CT." by Mattias P. Heinrich, M. Jenkinson, M. Brady and J.A. Schnabel. IEEE Transactions on Medical Imaging 2013, Volume 32, Issue 7, July 2013, Pages 1239-1248. http://dx.doi.org/10.1109/TMI.2013.2246577

"Globally optimal deformable registration on minimum spanning tree using dense displacement sampling." by Mattias P. Heinrich, M. Jenkinson, M. Brady and J.A. Schnabel. MICCAI (3) 2012: 115-122. http://dx.doi.org/10.1007/978-3-642-33454-2_15

  • Diffeomorphic registration of 2D/3D nifti images (including: Piecewise-Diffeomorphic Image Registration

Author: Laurent Risser

Download (C++): uTIlzReg

If you use this implementation or parts of it, please cite:

Risser L., Vialard F.X., Baluwala H.Y., Schnabel J.A.: Piecewise-Diffeomorphic Image Registration: Application to the Motion Estimation between 3D CT Lung Images with Sliding Conditions Medical Image Analysis 2012