Neurodata Image Registration

Neurodata's open-source Python package that performs affine and deformable (LDDMM) image registration.

An example jupyter notebook from A. Branch et al. (2019) can be found here.

Publications
  1. A. Branch et al. An optimized protocol for iDISCO+ rat brain clearing, imaging, and analysis. bioRxiv, 2019.
  2. D. J. Tward et al. Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer{\textquoteright}s disease. bioRxiv, 2019.
  3. D. Tward and M. Miller. EM-LDDMM for 3D to 2D registration. bioRxiv, 2019.
  4. K. S. Kutten et al. A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017.
  5. K. S. Kutten et al. A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images. MICCAI, 2016.
  6. K. S. Kutten et al. Deformably registering and annotating whole CLARITY brains to an atlas via masked LDDMM. Optics, Photonics and Digital Technologies for Imaging Applications IV, 2016.
  7. K. S. Kutten et al. Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. SPIE Europe, 2016.
Slides
  1. NeuroData Tools