Title Biomedical image registration 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1-2, 2020, Proceedings / Žiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Goksel (Eds.)

Published Cham : Springer, 2020

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Description 1 online resource (178 pages) Series Lecture Notes in Computer Science ; 12120 LNCS Sublibrary: SL 6, Image Processing, Computer Vision, Pattern Recognition, and Graphics Lecture notes in computer science ; 12120. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. Contents Intro -- Preface -- Organization -- Contents -- Registration Initialization and Acceleration -- Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem -- 1 Introduction -- 2 Methods -- 2.1 Streamline Correspondence -- 2.2 Linear Assignment Problem -- 2.3 Large-Scale Approximation -- 3 Experiments -- 3.1 Comparison -- 3.2 Results -- 4 Discussion and Conclusions -- References -- Learning-Based Affine Registration of Histological Images -- 1 Introduction -- 2 Methods -- 2.1 General Aspects -- 2.2 Preprocessing -- 2.3 Affine Registration -- 3 Results 4 Discussion and Conclusion -- References -- Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series -- 1 Introduction -- 2 Method -- 3 Application and Results -- 4 Discussion -- References -- Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-Based Registration -- 1 Introduction -- 2 Method -- 2.1 Network Architecture -- 2.2 The Loss Function -- 3 Data -- 3.1 Synthetic 2D Dataset 1 -- 3.2 Synthetic 2D Dataset 2 -- 3.3 3D Ultrasound Data: Rotterdam Periconceptional Cohort -- 4 Experiments -- 4.1 Evaluation 5 Results -- 6 Conclusion -- References -- Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy -- 1 Introduction -- 2 Method -- 2.1 Registration Types by Input -- 2.2 Loss Function -- 2.3 Network Architecture -- 3 Experiments -- 4 Results -- 5 Conclusion -- References -- Interventional Registration -- Multilevel 2D-3D Intensity-Based Image Registration -- 1 Introduction -- 2 Methods -- 2.1 Digitally Reconstructed Radiographs (DRRs) -- 2.2 Intensity-Based 2D-3D Image Registration -- 2.3 Multilevel Strategy -- 3 Experiments and Evaluation 3.1 Clinical Database -- 3.2 Evaluation Parameters -- 3.3 Experiments -- 4 Discussion -- References -- Towards Automated Spine Mobility Quantification: A Locally Rigid CTpg to X-ray Registration Framework -- 1 Introduction -- 2 Methods -- 2.1 Registration Framework -- 2.2 Poly-rigid Transformation Model -- 2.3 Weight Map Computation -- 2.4 Regularisation -- 3 Experiments -- 4 Results -- 5 Discussion -- References -- Landmark Based Registration -- Reinforced Redetection of Landmarkpg in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment -- 1 Introduction 2 Deep Reinforcement Learning Using Q-Learning -- 3 Anatomically Guided RL Agent -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- References -- Deep Volumetric Feature Encoding for Biomedical Images -- 1 Introduction -- 2 Methods -- 2.1 Network 1: 3D VGG-19 -- No Training -- 2.2 Network 2: Transfer Learning from 2D VGG-19 to Pseudo-3D VGG-19 -- 2.3 Network 3: Direct 3D VGG Learning of Pseudo-3D VGG-19 Activations -- 2.4 Network 5: Direct 3D ResNet Learning of Pseudo-3D VGG-19 Activations -- 2.5 Network 5: Pre-trained ResNet Network Summary This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion Notes International conference proceedings 2.6 Evaluation Strategy in Terms of Landmark Matching in 7T Hippocampus Data Includes author index Print version record Subject Image registration -- Congresses Imaging systems in medicine -- Congresses Artificial intelligence. Pattern recognition. Information technology: general issues. Computer networking & communications. Image processing. Computers -- Intelligence (AI) & Semantics. Computers -- Computer Vision & Pattern Recognition. Computers -- Data Processing. Computers -- Networking -- General. Computers -- Social Aspects -- Human-Computer Interaction. Computers -- Computer Graphics. Image registration Imaging systems in medicine Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Spiclin, Žiga McClelland, Jamie Kybic, Jan. Goksel, Orcun. ISBN 9783030501204 3030501205

Other Titles WBIR 2020

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