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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
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    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
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Mentioned by

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5 patents

Citations

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71 Dimensions

Readers on

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48 Mendeley
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Title
Soft Tissue Biomechanical Modeling for Computer Assisted Surgery
Published by
Springer, Berlin, Heidelberg, April 2012
DOI 10.1007/978-3-642-29014-5
ISBNs
978-3-64-229013-8, 978-3-64-229014-5
Editors

Yohan Payan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Canada 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 48%
Researcher 7 15%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Professor 2 4%
Other 1 2%
Unknown 7 15%
Readers by discipline Count As %
Engineering 23 48%
Computer Science 6 13%
Agricultural and Biological Sciences 5 10%
Sports and Recreations 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 8%
Unknown 8 17%