Registration#
What is the optimal setting to register the images to an atlas?
Transformation type
Metric type
Optimizer type
Deep learning for image registration
Materials#
pymia.filtering.registration
P. Viola and W. M. I. Wells, Alignment by maximization of mutual information, Proc. IEEE Int. Conf. Comput. Vis., vol. 24, no. 2, pp. 16–23, 1995.
P. Cattin and V. Roth, Biomedical Image Analysis, 2016. [Online]. Available: https://miac.unibas.ch/BIA/ [Accessed: 08-Sep-2020].
M.-M. Rohé, M. Datar, T. Heimann, M. Sermesant, and X. Pennec, “SVF-Net: Learning Deformable Image Registration Using Shape Matching,” in Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I, Springer International Publishing, 2017, pp. 266–274.
SimpleITK Notebooks: See chapters 60-67
ITK Software Guide, Book 2: In C++ but with a thorough description
Tools#
There exist various tools for registration besides the implemented code for registration:
3D Slicer: Open source software which also includes registration.
ANTs: Advanced Normalization Tools, which come with registration algorithms.
NiftyReg: Rigid, affine and non-linear registration of medical images.
SimpleElastix: An extension of SimpleITK.