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Soft Tissue Biomechanical Modeling for Computer Assisted Surgery

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Cover of 'Soft Tissue Biomechanical Modeling for Computer Assisted Surgery'

Table of Contents

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    Book Overview
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    Chapter 117 Model-Assisted Image-Guided Liver Surgery Using Sparse Intraoperative Data
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    Chapter 118 CamiTK: A Modular Framework Integrating Visualization, Image Processing and Biomechanical Modeling
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    Chapter 119 Doppler Ultrasound Driven Biomechanical Model of the Brain for Intraoperative Brain-Shift Compensation: A Proof of Concept in Clinical Conditions
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    Chapter 120 Measuring the In Vivo Behavior of Soft Tissue and Organs Using the Aspiration Device
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    Chapter 121 Biomechanical Modeling of the Prostate for Procedure Guidance and Simulation
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    Chapter 122 Dynamic Material Properties of Human and Animal Livers
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    Chapter 123 Validation of a Light Aspiration Device for In Vivo Soft Tissue Characterization (LASTIC)
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    Chapter 124 Harmonic Motion Imaging for Tumor Imaging and Treatment Monitoring
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    Chapter 125 SOFA: A Multi-Model Framework for Interactive Physical Simulation
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    Chapter 126 ArtiSynth: A Fast Interactive Biomechanical Modeling Toolkit Combining Multibody and Finite Element Simulation
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    Chapter 127 Viscoelastic and Nonlinear Liver Modeling for Needle Insertion Simulation
  13. Altmetric Badge
    Chapter 128 Application of Biomechanical Modelling to Image-Guided Breast Surgery
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    Chapter 129 Estimation of Intraoperative Brain Deformation
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    Chapter 130 Introduction
Attention for Chapter 126: ArtiSynth: A Fast Interactive Biomechanical Modeling Toolkit Combining Multibody and Finite Element Simulation
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Chapter title
ArtiSynth: A Fast Interactive Biomechanical Modeling Toolkit Combining Multibody and Finite Element Simulation
Chapter number 126
Book title
Soft Tissue Biomechanical Modeling for Computer Assisted Surgery
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/8415_2012_126
Book ISBNs
978-3-64-229013-8, 978-3-64-229014-5
Authors

John E. Lloyd, Ian Stavness, Sidney Fels

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Sweden 1 <1%
Norway 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 28%
Student > Master 17 15%
Researcher 11 10%
Student > Doctoral Student 9 8%
Student > Bachelor 8 7%
Other 14 13%
Unknown 20 18%
Readers by discipline Count As %
Engineering 37 34%
Computer Science 13 12%
Medicine and Dentistry 9 8%
Agricultural and Biological Sciences 8 7%
Linguistics 7 6%
Other 11 10%
Unknown 25 23%