Soft Tissue Biomechanical Modeling For Computer Assisted Surgery

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Soft Tissue Biomechanical Modeling for Computer Assisted Surgery

Soft Tissue Biomechanical Modeling for Computer Assisted Surgery
Author :
Publisher : Springer Science & Business Media
Total Pages : 392
Release :
ISBN-10 : 9783642290145
ISBN-13 : 3642290140
Rating : 4/5 (140 Downloads)

Book Synopsis Soft Tissue Biomechanical Modeling for Computer Assisted Surgery by : Yohan Payan

Download or read book Soft Tissue Biomechanical Modeling for Computer Assisted Surgery written by Yohan Payan and published by Springer Science & Business Media. This book was released on 2012-04-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the biomechanical modeling of biological tissues in the context of Computer Assisted Surgery (CAS). More specifically, deformable soft tissues are addressed since they are the subject of the most recent developments in this field. The pioneering works on this CAS topic date from the 1980's, with applications in orthopaedics and biomechanical models of bones. More recently, however, biomechanical models of soft tissues have been proposed since most of the human body is made of soft organs that can be deformed by the surgical gesture. Such models are much more complicated to handle since the tissues can be subject to large deformations (non-linear geometrical framework) as well as complex stress/strain relationships (non-linear mechanical framework). Part 1 of the volume presents biomechanical models that have been developed in a CAS context and used during surgery. This is particularly new since most of the soft tissues models already proposed concern Computer Assisted Planning, with a pre-operative use of the models. Then, the volume addresses the two key issues raised for an intra-operative use of soft tissues models, namely (Part 2) “how to estimate the in vivo mechanical behavior of the tissues?” (i.e. what are the values of the mechanical parameters that can deliver realistic patient-specific behavior?) and (Part 3) “how to build a modeling platform that provides generic real-time (or at least interactive-time) numerical simulations?”


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