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A curated list of state-of-the-art 3D image registration methods in medical imaging

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Awesome 3D Medical Image Registration

A curated list of awesome 3D medical image registration algorithms, articles, software and resources.

Articles

Literature Reviews

  • An overview of deep learning in medical imaging focusing on MRI (Zeitschrift für Medizinische Physik, 2019), Alexander Selvikvag Lundervoldab and Arvid Lundervold, pdf
  • Deep Learning in Medical Image Registration: A Survey (arXiv, 2019), Grant Haskins, Uwe Kruger, Pingkun Yan, pdf
  • Deep Learning in Medical Image Registration: A Review (arXiv, 2019),Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang, pdf
  • A Review on Medical Image Registration as an Optimization Problem (Current Medical Imaging Reviews , 2017), Guoli Song et al., RG

Unsupervised approaches

  • Unsupervised 3D End-to-End Medical ImageRegistration with Volume Tweening Network (arXiv, 2019), Lau et al., arXiv
  • Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior (MILD, 2019), Laves et al., Open Review
  • Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior (arXiv, 2019), Simonovsky et al., pdf

Weakly-supervised approaches

  • Weakly-supervised convolutional neural networks for multimodal image registration (Medical Image Analysis, 2018), Yipeng et al., pdf

Weakly-supervised approaches (segmentation labels)

  • Y. Hu, M. Modat, E. Gibson, W. Li, N. Ghavami, E. Bonmati, G. Wang,S. Bandula, C. M. Moore, M. Embertonet al., “Weakly-supervised con-volutional neural networks for multimodal image registration,”Medicalimage analysis, vol. 49, pp. 1–13, 2018.[44] - Y. Hu, M. Modat, E. Gibson, N. Ghavami, E. Bonmati, C. M. Moore,M. Emberton, J. A. Noble, D. C. Barratt, and T. Vercauteren, “Label-driven weakly-supervised learning for multimodal deformable imageregistration,” inBiomedical Imaging (ISBI 2018), 2018 IEEE 15thInternational Symposium on.

Metric learning

  • A Deep Metric for Multimodal Registration (arXiv, 2019), Lau et al., arXiv
  • PCANet-Based Structural Representation forNonrigid Multimodal Medical Image Registration (Sensors, 2019), Zhu et al., pdf

Uncategorized

  • Learning interpretable multi-modal features for alignment with supervised iterative descent (MIDL, 2019), Blendowski et al., Open Review

Other Collections

Implementations of Classical Algorithms

Implementations of Deep Learning Algorithms

FOSS Applications

Libraries and SDKs

Resources

Datasets

  • OSIRIX DICOM Image Library web
  • 3Dircadb web

Contributing

Contributions are welcome! Please create a pull-request to propose your changes.

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