Biomedical Image Registration: 10th International Workshop, WBIR 2022, Munich, Germany, July 10–12, 2022, Proceedings (Lecture Notes in Computer Science)

Preface
Organization
Contents
Atlases/Topology
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
	1 Introduction
	2 Materials and Methods
	3 Results
	4 Discussion
	References
Weighted Metamorphosis for Registration of Images with Different Topologies
	1 Introduction
	2 Methods
	3 Results and Perspectives
	References
LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration
	1 Introduction
	2 Background on LDDMM
	3 Generative Adversarial Networks for LDDMM
		3.1 Proposed GAN Architecture
	4 Experiments and Results
		4.1 Results in the 3D NIREP Dataset
	5 Conclusions
	References
Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach for Groupwise Image Registration
	1 Introduction
	2 Method
	3 Data and Experiments
	4 Results
	5 Discussion and Conclusion
	References
Uncertainty
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation
	1 Introduction
	2 Method
	3 Experiments
	4 Results and Discussion
	5 Conclusion and Outlook
	References
A Method for Image Registration via Broken Geodesics
	1 Introduction
		1.1 Background
	2 Method
		2.1 Registration Metric Approximation
	3 Results
		3.1 Visual Assessment of Registration
		3.2 Quantitative Assessment of Registration
		3.3 Validation of Proposed Registration Metric
	4 Discussion
	References
Deformable Image Registration Uncertainty Quantification Using Deep Learning for Dose Accumulation in Adaptive Proton Therapy
	1 Introduction
	2 Methods
		2.1 Probabilistic VoxelMorph
		2.2 Combining Deep Learning with Existing DIR Software
		2.3 Non-diagonal Covariance Matrix
		2.4 Training
		2.5 Validation
	3 Results
		3.1 Hyper Parameter Tuning
		3.2 Dose Deformation
	4 Discussion
	5 Conclusion
	References
Distinct Structural Patterns of the Human Brain: A Caveat for Registration
	1 Introduction
	2 Methods
	3 Results
	4 Conclusion
	References
Architectures
A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration
	1 Introduction
	2 Method
	3 Experiments
	4 Conclusion
	References
Voxelmorph++
	1 Introduction
	2 Method
	3 Experiments and Results
	4 Discussion and Conclusions
	References
Unsupervised Learning of Diffeomorphic Image Registration via TransMorph
	1 Introduction
	2 Background on LDDMM
	3 Methods
	4 Experiments and Results
	5 Conclusion
	References
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration
	1 Introduction
	2 Related Work
		2.1 Optical Flow Estimation
	3 Mathematical Framework
		3.1 Optical Flow Estimation and Duality Principle
		3.2 Supervised Learning and Multi-scale Warping
		3.3 Deep Supervision, Data Augmentation and Training
	4 Experimental Evaluation
		4.1 Invariant Registration of Brain MR Images
		4.2 Optical Flow Estimation
	5 Discussion
		5.1 Future Work
	References
Optimisation
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation
	1 Introduction and Related Work
	2 Method
		2.1 Differentiable Convex-Discrete Optimisation
		2.2 Learning of Input Feature Fusion
	3 Experiments and Results
	4 Discussion and Conclusion
	References
Multi-magnification Networks for Deformable Image Registration on Histopathology Images
	1 Introduction
	2 Methods
		2.1 Network Architectures
		2.2 Loss Function
	3 Experiments
		3.1 Experimental Settings
		3.2 Evaluation Metrics
	4 Results
	5 Discussion and Conclusion
	References
Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation
	1 Introduction
	2 Related Work
		2.1 Dynamic Ultrasound Analysis
		2.2 Optical Flow Estimation
		2.3 Knowledge Distillation
		2.4 Contributions
	3 Results and Discussion
	4 Conclusion
	References
Metrics/Losses
Motion Correction in Low SNR MRI Using an Approximate Rician Log-Likelihood
	1 Introduction
	2 Background: The Rice Distribution
	3 Method
		3.1 Priors
		3.2 A Stable Approximation of the Rician Log-Likelihood
		3.3 Inference
	4 Experiments
		4.1 Synthetic Data
		4.2 Real Sodium MRI
	5 Discussion
	6 Conclusions
	References
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields
	1 Introduction
	2 Background
	3 Method
		3.1 Method for Global 3D Rigid Alignment
	4 Performance Analysis
		4.1 Similarity Landscape of the Average SNGF
		4.2 Multimodal Brain Image Volume Alignment
		4.3 Time Analysis
	5 Conclusion
	References
Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space
	1 Introduction
	2 Methods
	3 Data and Experiments
		3.1 Data
		3.2 Experiments
	4 Discussions and Conclusions
	5 Discussions and Conclusions
	6 Conclusions
	References
Transformed Grid Distance Loss for Supervised Image Registration
	1 Introduction
	2 Transformed Grid Distance
	3 Experiments
	4 Discussions and Conclusion
	References
Efficiency
Deformable Lung CT Registration by Decomposing Large Deformation
	1 Introduction
	2 Methodology
	3 Experiments
	4 Conclusion
	References
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration
	1 Introduction
	2 Proposed Framework
	3 Experimental Results
	4 Conclusion
	References
Recent Developments of an Optimal Control Approach to Nonrigid Image Registration
	1 Our Approach to Image Registration
		1.1 Gradient with Respect to Control F-.4
		1.2 Hessian Matrix with Respect to Control Function F-.4
		1.3 Partial Gradients with Respect to Control Functions  and g-.4
	2 Numerical Examples
		2.1 A Large Deformation Test and a MRI Registration Test
	3 Discussion
	References
2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images
	1 Introduction
		1.1 Clinical Motivation
		1.2 Clinical Data
	2 Method
		2.1 2D to 3D Reconstruction Using SFS
		2.2 3D to 2D Projection Using Binary Search
	3 Discussion
	References
Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images
	1 Introduction
	2 Methodology
	3 Experiments
	4 Results
	5 Discussion and Conclusion
	References
Real-Time Alignment for Connectomics
	1 Introduction
	2 Methods
	3 Results
	4 Conclusion
	References
Weak Bounding Box Supervision for Image Registration Networks
	1 Introduction
	2 Methods
	3 Experiments
	4 Results
	5 Discussion and Conclusion
	References
Author Index