Soft Tissue Biomechanical Modeling for Computer Assisted Surgery (Paperback, 2012 ed.)

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?"

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Mechanobiology, Tissue Engineering and Biomaterials, 11
Release date:	June 2014
First published:	2012
Editors:	Yohan Payan
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	398
Edition:	2012 ed.
ISBN-13:	978-3-642-43879-0
Categories:	Books > Medicine > Surgery > Surgical techniques Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Promotions
LSN:	3-642-43879-2
Barcode:	9783642438790

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