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Computational Biomechanics for Medicine PDF

166 Pages·2019·5.24 MB·English
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Poul M. F. Nielsen · Adam Wittek  Karol Miller · Barry Doyle  Grand R. Joldes · Martyn P. Nash Editors Computational Biomechanics for Medicine Measurements, Models, and Predictions Computational Biomechanics for Medicine Poul M. F. Nielsen • Adam Wittek (cid:129) Karol Miller Barry Doyle (cid:129) Grand R. Joldes (cid:129) Martyn P. Nash Editors Computational Biomechanics for Medicine Measurements, Models, and Predictions 123 Editors PoulM.F.Nielsen AdamWittek AucklandBioengineeringInstitute IntelligentSystemsforMedicineLaboratory TheUniversityofAuckland TheUniversityofWesternAustralia Auckland,NewZealand Crawley,Perth,WA,Australia KarolMiller BarryDoyle IntelligentSystemsforMedicineLaboratory VascularEngineeringLaboratory TheUniversityofWesternAustralia TheUniversityofWesternAustralia Crawley,Perth,WA,Australia Crawley-Perth,WA,Australia GrandR.Joldes MartynP.Nash IntelligentSystemsforMedicineLaboratory AucklandBioengineeringInstitute TheUniversityofWesternAustralia TheUniversityofAuckland Crawley,Perth,WA,Australia Auckland,NewZealand ISBN978-3-319-75588-5 ISBN978-3-319-75589-2 (eBook) https://doi.org/10.1007/978-3-319-75589-2 LibraryofCongressControlNumber:2018940527 ©SpringerInternationalPublishingAG,partofSpringerNature2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. Printedonacid-freepaper ThisSpringerimprintispublishedbytheregisteredcompanySpringerInternationalPublishingAGpart ofSpringerNature. Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface Extending the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine, is recognisedasoneofthesignificantchallengesfacingthecomputationalengineering and computational mechanics communities. While advancements are being made towards clinically relevant computational biomechanics models and simulations, many issues remain before personalised medicine underpinned by personalised computersimulationsbecomesanestablishedpartofhealthcare. The first volume in the Computational Biomechanics for Medicine book series was published in 2010. Since then, each book has become an annual forum for specialists in computational sciences to describe their latest results and discuss the application of their techniques to computer-integrated medicine. This ninth volume in the Computational Biomechanics for Medicine book series comprises the latest developments in solid biomechanics, fluid biomechanics, and multiscale modelling,fromresearchersthroughouttheworld.Someofthetopicsdiscussedare asfollows: (cid:129) braininjury (cid:129) fluid-tissueinteraction (cid:129) softtissuemechanics (cid:129) simulationofheatflow (cid:129) medicalimageacquisitionandanalysis (cid:129) patient-specificsimulation The Computational Biomechanics for Medicine book series not only provides the community witha snapshot of the stateof theart,butmore importantly, when v vi Preface computationalbiomechanicsandindividual-specificmodellingbecomeamainstay ofpersonalisedhealthcare,itwillserveasakeyrecordofhowthefieldhasovercome oneofitsgreatestchallenges. Auckland,NewZealand PoulM.F.Nielsen Perth,WA,Australia AdamWittek Perth,WA,Australia KarolMiller Perth,WA,Australia BarryDoyle Perth,WA,Australia GrandR.Joldes Auckland,NewZealand MartynP.Nash Contents MakingHeadandNeckReconstructionSurgeryanEngineeringProcess 1 SidneyFels Atlas of Acceleration-Induced Brain Deformation fromMeasurementsInVivo .................................................... 3 Arnold D. Gomez, Andrew Knutsen, Deva Chan, Yuan-Chiao Lu, DzungL.Pham,PhilipBayly,andJerryL.Prince ReconstructionofReal-WorldCar-to-PedestrianAccidentUsing Computational Biomechanics Model: Effects of the Choice ofBoundaryConditionsoftheBrainonBrainInjuryRisk................. 15 Fang Wang, Bingyu Wang, Yong Han, Qian Peng, Fan Li, andAdamWittek ComputationalModelingofFluid–StructureInteractionBetween BloodFlowandMitralValve ................................................... 31 WeixinSi,XiangyunLiao,JingQin,andPhengAnnHeng MaximumPrincipalAAAWallStressIsProportionaltoWall Thickness.......................................................................... 43 K.Miller,G.R.Joldes,J.Qian,A.P.Patel,M.S.Jung,A.C.R.Tavner, andA.Wittek AnImmersedBoundaryMethodforDetail-PreservingSoftTissue SimulationfromMedicalImages............................................... 55 ChristophJ.Paulus,RolandMaier,DanielPeterseim,andStéphaneCotin AFlux-ConservativeFiniteDifferenceSchemefortheNumerical SolutionoftheNonlinearBioheatEquation .................................. 69 GeorgeC.Bourantas,GrandR.Joldes,AdamWittek,andKarolMiller vii viii Contents Quantifying Carotid Pulse Waveforms Using Subpixel Image Registration....................................................................... 83 Amir HajiRassouliha, Emily J. Lam Po Tang, Martyn P. Nash, AndrewJ.Taberner,PoulM.F.Nielsen,andYusufO.Cakmak ADiscreteElementMethodforModellingCellMechanics: ApplicationtotheSimulationofChondrocyteBehavior intheGrowthPlate .............................................................. 93 Grand R. Joldes, George C. Bourantas, Adam Wittek, Karol Miller, DavidW.Smith,andBruceS.Gardiner Image-BasedBiomechanicalModellingofHeartFailure.................... 105 MartynP.Nash AComparisonofBiomechanicalModelsforMRItoDigitalBreast Tomosynthesis3DRegistration................................................. 107 P.Coticˇ Smole,C.Kaiser,J.Krammer,N.V.Ruiter,andT.Hopp TowardsaReal-TimeFull-FieldStereoscopicImagingSystemfor TrackingLungSurfaceDeformationUnderPressureControlled Ventilation......................................................................... 119 SamuelRichardson,ThiranjaP.BabarendaGamage,AmirHajiRassouliha, Toby Jackson, Kerry Hedges, Alys Clark, Andrew Taberner, MerrynH.Tawhai,andPoulM.F.Nielsen Patient-SpecificSimulation:Non-DestructiveIdentificationMethod forSoftTissueUnderLargeStrain:ApplicationtoPelvicSystem......... 131 Olivier Mayeur, Jean-François Witz, Pauline Lecomte-Grosbras, MichelCosson,andMathiasBrieu SimulatingPlateletTransportinType-BAorticDissection................. 145 Louis P. Parker, Lachlan J. Kelsey, James Mallal, Roland Hustinx, NatziSakalihasan,PaulE.Norman,andBarryDoyle Index............................................................................... 161 Making Head and Neck Reconstruction Surgery an Engineering Process SidneyFels Abstract Computer modeling and simulation of the human body is rapidly becoming a critical and central tool in a broad range of disciplines, including engineering, education, entertainment, physiology and medicine. Often, these models underpin the goal of transitioning from an artisanal practice to designing and making to an industrial engineering process. One reason for this approach is that designed and simulated models can be thoroughly tested and manufactured by machine to high tolerances, potentially removing much of the guess work whenaddressingcomplexhumanbodydynamicsandvariations.Thechallengefor researchersishowtocreatepatient-specificmodelswithenoughfidelityforin-silico simulation to accurately predict treatment outcomes. To address these challenges, we are developing technology to create dynamic, parametric, multiscale models of human musculoskeletal anatomy that can later be extended to include organ structures and other subsystems. We are working to provide a range, from low- to-high accuracy, of models, including high-resolution bone surfaces and detailed representations of muscle fibre structure and pennation. A significant component of our approach provides 3D finite element (FEM) muscle models coupled with multibody simulation techniques including contact handling and constraints. Our primarymodellingeffortisfortheoral,pharyngealandlaryngeal(OPAL)complex to predict functional outcomes, such as chewing, swallowing and speaking. I report on our progress with our interdisciplinary team of scientific and clinical investigators, and collaborators and iRSM partners, the advances we have made including: an advanced Functional Reference ANatomy Knowledge (FRANK) templateoftheheadandneckthatcanberegisteredstructurallyandfunctionallyto patient-specific data, new techniques for patient-specific registration, liquid bolus simulations in the head and neck models, and a new technique for simulating S.Fels((cid:2)) DepartmentofElectricalandComputerEngineering,TheUniversityofBritishColumbia, Vancouver,BC,Canada e-mail:[email protected] ©SpringerInternationalPublishingAG,partofSpringerNature2019 1 P.M.F.Nielsenetal.(eds.),ComputationalBiomechanicsforMedicine, https://doi.org/10.1007/978-3-319-75589-2_1 2 S.Fels speech from the biomechanics of the airway. Based on our experiences, I will outlineanumberofgrandchallengesthatrequireacommunityofclinical,scientific andengineeringresearcherstoaddressbeforewecantransitiontopatienttreatment asanengineeredsolution.

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