000 04277nam a22004815i 4500
001 978-3-642-29014-5
003 DE-He213
005 20140220083314.0
007 cr nn 008mamaa
008 120426s2012 gw | s |||| 0|eng d
020 _a9783642290145
_9978-3-642-29014-5
024 7 _a10.1007/978-3-642-29014-5
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
100 1 _aPayan, Yohan.
_eeditor.
245 1 0 _aSoft Tissue Biomechanical Modeling for Computer Assisted Surgery
_h[electronic resource] /
_cedited by Yohan Payan.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aIX, 396p. 184 illus., 97 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Mechanobiology, Tissue Engineering and Biomaterials,
_x1868-2006 ;
_v11
505 0 _aAssisted Image-Guided Liver Surgery Using Sparse Intraoperative Data -- Viscoelastic and Nonlinear Liver Modeling for Needle Insertion Simulation -- Application of Biomechanical Modelling to Image-Guided Breast Surgery -- Estimation of Intraoperative Brain Deformation -- Doppler Ultrasound Driven Biomechanical Model of the Brain for Intraoperative Brain-Shift Compensation: A Proof of Concept in Clinical Conditions -- Biomechanical Modeling of the Prostate for Procedure Guidance and Simulation -- Measuring the in vivo behavior of soft tissue and organs using the aspiration device -- Dynamic Material Properties of Human and Animal Livers -- Validation of a Light Aspiration device for in vivo Soft Tissue Characterization (LASTIC) -- Harmonic Motion Imaging (HMI) for Tumor Imaging and Treatment Monitoring -- SOFA, a Multi-Model Framework for Interactive Physical Simulation -- CamiTK :a modular framework integrating visualization, image processing and biomechanical modelling -- ArtiSynth: A Fast Interactive Biomechanical Modeling Toolkit Combining Multibody and Finite Element Simulation.
520 _a  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?”
650 0 _aEngineering.
650 0 _aMaterials.
650 0 _aBiomedical engineering.
650 0 _aBiomaterials.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aBiomaterials.
650 2 4 _aContinuum Mechanics and Mechanics of Materials.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642290138
830 0 _aStudies in Mechanobiology, Tissue Engineering and Biomaterials,
_x1868-2006 ;
_v11
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-29014-5
912 _aZDB-2-ENG
999 _c102939
_d102939