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Bio-Imaging and Visualization for Patient-Customized Simulations

  • Conference proceedings
  • © 2014

Overview

  • A set of eleven papers from international experts
  • Includes novel methods, techniques and applications
  • Addresses several key methods and applications in Medical Imaging, Computational Vision and Computer Vision, Computer Graphics, Computer Simulation, Image based Modelling, Simulation and Surgical Planning, Image guided Robot Assisted Surgical and Image based Diagnosis
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 13)

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Table of contents (11 papers)

Keywords

About this book

This book contains the full papers presented at the MICCAI 2013 workshop Bio-Imaging and Visualization for Patient-Customized Simulations (MWBIVPCS 2013). MWBIVPCS 2013 brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic.

The contributions included in this book present and discuss new trends in those fields, using several methods and techniques, including the finite element method, similarity metrics, optimization processes, graphs, hidden Markov models, sensor calibration, fuzzy logic, data mining, cellular automation, active shape models, template matching and level sets. These serve as tools to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.

This book will appeal to researchers, PhD students and graduate students with multidisciplinary interests related to the areas of medical imaging, image processing and analysis, computer vision, image segmentation, image registration and fusion, scientific data visualization and image based modeling and simulation.

Editors and Affiliations

  • Department of mechanical engineering, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  • Graduate School of Information Science, Nagoya University, Nagoya, Japan

    Xiongbiao Luo

  • GE Healthcare and University of Western Ontario, London, Canada

    Shuo Li

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