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Technologies for Medical Sciences
Lecture Notes in Computational Vision and Biomechanics
Volume 1
This book is the first to be published under the Book Series “Lecture Notes in Computational Vision and
Biomechanics (LNCV&B)”.
The research related to the analysis of living structures (Biomechanics) has been a source of recent
research in several distinct areas of science, for example, Mathematics, Mechanical Engineering, Physics,
Informatics, Medicine and Sport. However, for its successful achievement, numerous research topics
should be considered, such as image processing and analysis, geometric and numerical modelling,
biomechanics, experimental analysis, mechanobiology and enhanced visualization, and their application
to real cases must be developed and more investigation is needed. Additionally, enhanced hardware
solutions and less invasive devices are demanded.
On the other hand, Image Analysis (Computational Vision) is used for the extraction of high level
information from static images or dynamic image sequences. Examples of applications involving image
analysis can be the study of motion of structures from image sequences, shape reconstruction from
images and medical diagnosis. As a multidisciplinary area, Computational Vision considers techniques
and methods from other disciplines, such as Artificial Intelligence, Signal Processing, Mathematics,
Physics and Informatics. Despite the many research projects in this area, more robust and efficient
methods of Computational Imaging are still demanded in many application domains in Medicine, and
their validation in real scenarios is matter of urgency.
These two important and predominant branches of Science are increasingly considered to be strongly
connected and related. Hence, the main goal of the LNCV&B book series consists of the provision of a
comprehensive forum for discussion on the current state-of-the-art in these fields by emphasizing their
connection. The book series covers (but is not limited to):
• Applications of Computational Vision and
Biomechanics
• Biometrics and Biomedical Pattern
Analysis
• Cellular Imaging and Cellular Mechanics
• Clinical Biomechanics
• Computational Bioimaging and Visualization
• Computational Biology in Biomedical
Imaging
• Development of Biomechanical Devices
• Device and Technique Development for
Biomedical Imaging
• Digital Geometry Algorithms for Computational
Vision and Visualization
• Experimental Biomechanics
• Gait & Posture Mechanics
• Grid and High Performance Computing for
Computational Vision and Biomechanics
• Image-based Geometric Modeling and Mesh
Generation
• Image Processing and Analysis
• Image Processing and Visualization in
Biofluids
• Image Understanding
• Material Models
• Mechanobiology
• Medical Image Analysis
• Molecular Mechanics
• Multi-Modal Image Systems
• Multiscale Analysis in Biomechanics
• Multiscale Biosensors in Biomedical Imaging
• Multiscale Devices and Biomems for Biomedical
Imaging
• Musculoskeletal Biomechanics
• Neuromuscular Biomechanics
• Numerical Methods for Living Tissues
• Numerical Simulation
• Software Development on Computational
Vision and Biomechanics
• Sport Biomechanics
• Virtual Reality in Biomechanics
• Vision Systems
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