Computational Biomechanics for Medicine

Progress in Research and Applications

Magdalena Kobielarz, Adam Wittek, Martyn P. Nash , Poul Nielsen

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English

Springer International Publishing AG
16 July 2025

Biomechanics, human kinetics; Biomedical engineering; Biology, life sciences; Computer aided manufacture (CAM); Computing: general

Series: Lecture Notes in Bioengineering

This book presents contributions from the MICCAI 2024 Computational Biomechanics for Medicine Workshop CBM XIX. The peer-reviewed chapters of the book were presented during the 27th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI held in Marrakesh, Morocco. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes medical image computing, application of machine learning in image analysis and biomechanics, new approaches to stress computing for biomechanics of soft tissues and evaluation of strain, new assumptions to computing pipelines for disease and injury mechanisms, novel algorithms of computational biomechanics, a unique application of artificial intelligence and neural network in computing and experimental methods for the analysis of disease and injury mechanisms. This book details the state-of-the-art and progress in above mentioned scientific fields for researchers, students, and professionals.

Edited by: Magdalena Kobielarz, Adam Wittek, Martyn P. Nash, Poul Nielsen, Anju R. Babu
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031941276
ISBN 10: 3031941276
Series: Lecture Notes in Bioengineering
Pages: 154
Publication Date: 16 July 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Validation of 4D ultrasound strain imaging of the aortic wall.- Reliable computational fluid dynamics for ground truth generation for AI-based blood flow analysis.- The comparison of 2D and 3D based models for the problem of plaque segmentation and coronary artery calcium scoring on non-contrast cardiac CT imaging.- Conditional Graph Neural Network for Predicting Soft Tissue Deformation and Forces.- Abdominal aortic aneurysm wall stress: A 7-line code in MATLAB and a one-click software application.