A curated list of 2D/3D medical image rigid registration algorithms, articles, software, and resources.
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2021/08| The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective
Mathias Unberath, Cong Gao, Yicheng Hu, Max Judish, Russell H Taylor, Mehran Armand, and Robert Grupp
Frontiers in Robotics and AI, 2021
[arxiv] [paper] -
2010/04| A review of 3D/2D registration methods for image-guided interventions
P. Markelj, D. Tomazˇevicˇ, B. Likar, F. Pernuš
Medical Image Analysis (MIA), 2012
[paper]
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2023/09| Fully automatic tracking of native glenohumeral kinematics from stereo-radiography
William Burton, Ignacio Rivero Crespo, Thor Andreassen, Moira Pryhoda, Andrew Jensen, Casey Myers, Kevin Shelburne, Scott Banks, and Paul Rullkoetter
Computers in Biology and Medicine, 2023
[paper] -
2021/08| Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images
Chaochao Zhou, Thomas Cha, Yun Peng, and Guoan Li
Computers in Biology and Medicine, 2021
[arXiv] [paper] -
2019/11Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration
Robert Grupp, Mathias Unberath, Cong Gao, Rachel Hegeman, Ryan Murphy, Clayton Alexander, Yoshito Otake, Benjamin McArthur, Mehran Armand, and Russell Taylor
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2020
[arXiv] [paper] -
2019/10| Towards Fully Automatic X-Ray to CT Registration
Javier Esteban, Matthias Grimm, Mathias Unberath, Guillaume Zahnd, and Nassir Navab
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
[paper] -
2019/03|Point2| Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation
Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, and S. Kevin Zhou
Computer Vision and Pattern Recognitio (CVPR), 2019
[arXiv] [paper]
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2023/10| A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration
Baochang Zhang, Shahrooz Faghihroohi, Mohammad Farid Azampour, Shuting Liu, Reza Ghotbi, Heribert Schunkert, and Nassir Navab
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
[paper] [code] [reviews] -
2023/10| X-Ray to CT Rigid Registration Using Scene Coordinate Regression
Pragyan Shrestha, Chun Xie, Hidehiko Shishido, Yuichi Yoshii, and Itaru Kitahara
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
[paper] [code] [reviews] -
2023/08| A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers
Cong Gao, Anqi Feng, Xingtong Liu, Russell H. Taylor, Mehran Armand, and Mathias Unberath
IEEE Transactions on Medical Imaging (TMI), 2023
[paper] -
2021/07| Deep Iterative 2D/3D Registration
Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Karthik Shetty, and Andreas Maier
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
[arXiv] [paper] [reviews] -
2020/03| Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell Taylor, and Mathias Unberath
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020
[arXiv] [paper] [Code] -
2016/01| A CNN Regression Approach for Real-Time 2D/3D Registration
Shun Miao, Z. Jane Wang, and Rui Liao
IEEE Transactions on Medical Imaging (TMI), 2016
[arXiv version] [paper]
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2021/01| A novel approach to 2D/3D registration of X-ray images using Grangeat’s relation
Robert Frysch, Tim Pfeiffer, and Georg Rose
Medical Image Analysis (MIA), 2021
[paper] -
2008/03| 2D/3D registration with the CMA-ES method
Ren Hui Gong, and Purang Abolmaesumi
Society of Photo-Optical Instrumentation Engineers (SPIE), 2008
[paper]