Biomedical Image Registration: 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings

This book presents the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, including full and poster papers on optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology, and metrics.

Format: Paperback / softback
Length: 222 pages
Publication date: 09 July 2022
Publisher: Springer International Publishing AG

The 10th International Workshop on Biomedical Image Registration, WBIR 2020, was originally scheduled to take place in Munich, Germany, in July 2022. However, due to unforeseen circumstances, the workshop was postponed. Nevertheless, the organizers managed to compile a remarkable collection of 11 full and poster papers, along with 17 short papers, which are now presented in this volume. The selection process was rigorous, with 32 submitted papers being carefully reviewed and selected. The papers are organized into the following topical sections: optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology, and metrics.

Optimization: This section encompasses various techniques aimed at improving the accuracy and efficiency of image registration algorithms. The papers discuss various optimization methods, such as gradient descent, optimization algorithms, and regularization techniques, to address challenges such as registration accuracy, computational complexity, and image quality.

Deep Learning Architectures: Deep learning has revolutionized the field of biomedical image registration, and this section explores the latest developments in deep learning architectures for image registration. The papers discuss convolutional neural networks, recurrent neural networks, and generative adversarial networks, among other deep learning models, and their applications in biomedical image registration.

Neuroimaging: Neuroimaging is a crucial area of research in biomedical imaging, and this section focuses on the application of image registration techniques in neuroimaging. The papers discuss the registration of brain images, functional magnetic resonance imaging (fMRI) images, and other neuroimaging data, with a particular emphasis on addressing challenges such as brain deformation, brain shift, and brain tissue segmentation.

Diffeomorphisms: Diffeomorphisms are mathematical transformations that are commonly used in image registration to align images with different resolutions or orientations. This section explores the use of diffeomorphisms in biomedical image registration, including their theoretical foundations, implementation techniques, and applications in various biomedical imaging scenarios.

Uncertainty: In biomedical image registration, uncertainty is an important consideration as images often contain noise, artifacts, and anatomical variations. This section explores the use of uncertainty models in image registration, including Bayesian inference, Markov random fields, and other uncertainty-based approaches, to improve the accuracy and reliability of registration results.

Topology and Metrics: Topology and metrics are fundamental concepts in image registration that define the spatial relationships between images. This section discusses the use of topology and metrics in biomedical image registration, including the development of new topological and metric descriptors, the evaluation of registration performance, and the application of registration in medical imaging.

In conclusion, this book constitutes a valuable resource for researchers and practitioners in the field of biomedical image registration. The 11 full and poster papers, along with 17 short papers, cover a wide range of topics and provide insights into the latest developments and applications in this field. The selection process was rigorous, ensuring that only the most relevant and high-quality research is included in this volume. The papers are organized in a clear and concise manner, making it easy for readers to navigate and gain a comprehensive understanding of the state-of-the-art in biomedical image registration.

Weight: 367g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031112027
Edition number: 1st ed. 2022