Modelling the Physiological Human: 3D Physiological Human Workshop, 3DPH 2009, Zermatt, Switzerland, November 29 – December 2, 2009. Proceedings PDF
Preview Modelling the Physiological Human: 3D Physiological Human Workshop, 3DPH 2009, Zermatt, Switzerland, November 29 – December 2, 2009. Proceedings
Lecture Notes in Computer Science 5903 CommencedPublicationin1973 FoundingandFormerSeriesEditors: GerhardGoos,JurisHartmanis,andJanvanLeeuwen EditorialBoard DavidHutchison LancasterUniversity,UK TakeoKanade CarnegieMellonUniversity,Pittsburgh,PA,USA JosefKittler UniversityofSurrey,Guildford,UK JonM.Kleinberg CornellUniversity,Ithaca,NY,USA AlfredKobsa UniversityofCalifornia,Irvine,CA,USA FriedemannMattern ETHZurich,Switzerland JohnC.Mitchell StanfordUniversity,CA,USA MoniNaor WeizmannInstituteofScience,Rehovot,Israel OscarNierstrasz UniversityofBern,Switzerland C.PanduRangan IndianInstituteofTechnology,Madras,India BernhardSteffen TUDortmundUniversity,Germany MadhuSudan MicrosoftResearch,Cambridge,MA,USA DemetriTerzopoulos UniversityofCalifornia,LosAngeles,CA,USA DougTygar UniversityofCalifornia,Berkeley,CA,USA GerhardWeikum Max-PlanckInstituteofComputerScience,Saarbruecken,Germany Nadia Magnenat-Thalmann (Ed.) Modelling the Physiological Human 3D Physiological Human Workshop, 3DPH 2009 Zermatt, Switzerland, November 29 - December 2, 2009 Proceedings 1 3 VolumeEditor NadiaMagnenat-Thalmann MIRALab/C.U.I,UniversityofGeneva Battelle,7routedeDrize,1227Carouge/Geneva,Switzerland E-mail:[email protected] LibraryofCongressControlNumber:Appliedfor CRSubjectClassification(1998):J.3,I.3,I.3.5,I.4,I.5,H.5.2 LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition, andGraphics ISSN 0302-9743 ISBN-10 3-642-10468-1SpringerBerlinHeidelbergNewYork ISBN-13 978-3-642-10468-8SpringerBerlinHeidelbergNewYork Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting, reproductiononmicrofilmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965, initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Violationsareliable toprosecutionundertheGermanCopyrightLaw. springer.com ©Springer-VerlagBerlinHeidelberg2009 PrintedinGermany Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India Printedonacid-freepaper SPIN:12804917 06/3180 543210 Preface Thisbookpresentsrecentadvancesinthedomainofthe3Dphysiologicalhuman thatwerepresentedlastDecemberattheWorkshopon3DPhysiologicalHuman 2009 that was held in Zermatt, Switzerland. This workshop was funded by the “Third Cycle in Computer Science of Western Switzerland” named CUSO, the European project Focus K3D (ICT-2007-214993), the European Marie Curie project 3D Anatomical Human (MRTN-CT-2006-035763) and the European Network of Excellence InterMedia (NoE-IST-2006-038419). 3D physiological human research is a very active field supported by several scientific projects. Many of them are funded by the European Union, such as the 3D Anatomical Human project and those present in the seventh framework programme “Virtual Physiological Human”(FP7-ICT-2007-2).One of the main objectivesoftheresearchon3Dphysiologicalhumanistocreatepatient-specific computermodelsforpersonalizedhealthcare.Thesemodelsareusedtosimulate andhencebetterunderstandthehumanphysiologyandpathology.Thereisalso a synergyin this researchinthe waymedicalinformationis distributed: to have any model available anytime, anywhere on any mobile equipment. A collection of scientific articles was proposed to highlight the necessity to exchange and disseminate novel ideas and techniques from a wide range of dis- ciplines (computer graphics, biomechanics, knowledge representation, human– machine interface, mobile computing, etc.) associated with medical imaging, medical simulation, computer-assistedsurgeryand 3D semantics.The emphasis wasontechnicalnoveltyalongwithcurrentandfutureapplicationsformodeling and simulating the anatomical structures and functions of the human body. The book is divided into six main parts: Segmentation Methods, Anatomi- cal and Physiological Modeling, Simulation Models, Motion Analysis, Medical Visualization and Medical Ontology. It includes 19 papers that were carefully selected by an International ProgramCommittee. December 2009 Nadia Magnenat-Thalmann Organization 3DPH 2009 was organizedby MIRALab, University of Geneva. Workshop Chairs Nadia Magnenat-Thalmann MIRALab/University of Geneva, Switzerland Seunghyun Han MIRALab/University of Geneva, Switzerland Jinman Kim MIRALab/University of Geneva, Switzerland Daniel Thalmann EPFL, Switzerland Program Co-chairs Nadia Magnenat-Thalmann MIRALab/University of Geneva, Switzerland Nuria Oliver Telefo´nica R&D, Barcelona,Spain Eric Stindel University Hospital of Brest, France Local Committee Chairs Caecilia Charbonnier MIRALab/University of Geneva, Switzerland J´erˆome Schmid MIRALab/University of Geneva, Switzerland International Program Committee Massimiliano Baleani IOR, Italy Raffaele Bolla DIST/University of Genoa, Italy Werner Ceusters State Center of Excellence in Bioinformatics & Life Sciences, USA Jian Chang Bournemouth University, UK Gary E. Christensen University of Iowa, USA Albert C.S. Chung Hong Kong University of Science and Technology, Hong Kong Herv´e Delingette INRIA, France Scott Delp Stanford University, USA Mark de Zee SMI, Denmark Tor Dokken SINTEF, Norway Guy A. Dumont University of British Columbia, Canada Daniel Espino IOR, Italy David D. Feng Sydney University, Australia Stephen Ferguson University of Bern, Switzerland John Fisher Institute of Medical & BiologicalEngineering, UK VIII Organization Andrea Giachetti CRS4 and University of Verona, Italy Enrico Gobbetti CRS4, Italy James K. Hahn George Washington University, USA Hans-Christian Hege Zuse Institute Berlin, Germany Tobias Heimann INRIA, France Pheng-Ann Heng The Chinese University of Hong Kong, Hong Kong Pierre Hoffmeyer HUG/University of Geneva, Switzerland Wolfgang Hu¨rst Utrecht University, The Netherlands Nigel John University of Wales, UK Chris Joslin Carleton University, Canada Leo Joskowicz The Hebrew University of Jerusalem, Israel Jinman Kim MIRALab/University of Geneva, Switzerland WonSook Lee University of Ottawa, Canada Vincent Luboz Imperial College London, UK Nadia Magnenat-Thalmann MIRALab/University of Geneva, Switzerland Dimitris N. Metaxas State University of New Jersey, USA Nassir Navab Technische Universita¨t Mu¨nchen, Germany Bernhard Preim University of Magdeburg, Germany Nicolas Pronost EPFL, Switzerland Hong Qin State University of New York at Stony Brook, USA Ewald Quak SINTEF, Norway Michela Spagnuolo CNR, Italy Eric Stindel University Hospital of Brest, France Daniel Thalmann EPFL, Switzerland Andrew Todd-Pokropek UCL, UK Remco Veltkamp Utrecht University, The Netherlands Franz-ErichWolter University of Hannover, Germany Sponsoring Projects and Institutions 3D Anatomical Human (MRTN-CT-2006-035763) http://3dah.miralab.unige.ch InterMedia (NoE-IST-2006-038419) http://intermedia.miralab.unige.ch Focus K3D (ICT-2007-214993) http://www.focusk3d.eu Conf´erence Universitaire de Suisse Occidentale (CUSO) http://www.cuso.ch Table of Contents I Segmentation Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling................................................ 1 Moti Freiman, Noah Broide, Miriam Natanzon, Einav Nammer, Ofek Shilon, Lior Weizman, Leo Joskowicz, and Jacob Sosna Interactive Segmentation of Volumetric Medical Images for Collaborative Telemedicine........................................ 13 J´eroˆme Schmid, Niels Nijdam, Seunghyun Han, Jinman Kim, and Nadia Magnenat-Thalmann Simultaneous Segmentation and Correspondence Establishment for Statistical Shape Models.......................................... 25 Marius Erdt, Matthias Kirschner, and Stefan Wesarg The Persistent Morse Complex Segmentation of a 3-Manifold.......... 36 Herbert Edelsbrunner and John Harer II Anatomical and Physiological Modeling Modelling Rod-Like Flexible Biological Tissues for Medical Training.... 51 Jian Chang, Junjun Pan, and Jian J. Zhang Using Musculoskeletal Modeling for Estimating the Most Important Muscular Output – Force ......................................... 62 Mark de Zee and John Rasmussen Computer Assisted Estimation of Anthropometric Parameters from Whole Body Scanner Data ........................................ 71 Christian Lovato, Umberto Castellani, Simone Fantoni, Chiara Milanese, Carlo Zancanaro, and Andrea Giachetti III Simulation Models A PhysiologicalTorso Model for Realistic Breathing Simulation........ 84 Remco C. Veltkamp and Berry Piest Evaluating the Impact of Shape on Finite Element Simulations in a Medical Context ................................................. 95 Lars Walczak, Frank Weichert, Andreas Schro¨der, Constantin Landes, Heinrich Mu¨ller, and Mathias Wagner X Table of Contents MotionLab: A Matlab Toolbox for Extracting and Processing Experimental Motion Capture Data for Neuromuscular Simulations .... 110 Anders Sandholm, Nicolas Pronost, and Daniel Thalmann IV Motion Analysis Predicting Missing Markers in Real-Time Optical Motion Capture ..... 125 Tommaso Piazza, Johan Lundstro¨m, Andreas Kunz, and Morten Fjeld Motion Analysis of the Arm Based on Functional Anatomy............ 137 Charles Pontonnier and Georges Dumont WAPA: A Wearable Framework for Aerobatic Pilot Aid............... 150 Xavier Righetti, Sylvain Cardin, and Daniel Thalmann Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data.............................................. 159 Loren Arthur Schwarz, Diana Mateus, and Nassir Navab V Medical Visualization and Interaction A 3D Human Brain Atlas ......................................... 173 Sebastian Thelen, Joerg Meyer, Achim Ebert, and Hans Hagen ContextPreservingFocalProbesfor ExplorationofVolumetric Medical Datasets ........................................................ 187 Yanlin Luo, Jos´e Antonio Iglesias Guiti´an, Enrico Gobbetti, and Fabio Marton Use of High Dynamic Range Images for Improved Medical Simulations ..................................................... 199 Meagan Leflar, Omar Hesham, and Chris Joslin VI Medical Ontology My Corporis Fabrica: A Unified Ontological, Geometrical and Mechanical View of Human Anatomy............................... 209 Olivier Palombi, Guillaume Bousquet, David Jospin, Sahar Hassan, Lionel Rev´eret, and Franc¸ois Faure Formal Representation of Tissue Geometric Features by DOGMA Ontology ....................................................... 220 Han Kang and Robert Meersman Author Index.................................................. 229 Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling Moti Freiman1, Noah Broide1, Miriam Natanzon1, Einav Nammer2, Ofek Shilon2, Lior Weizman1, Leo Joskowicz1, and Jacob Sosna3 1 School of Eng. and Computer Science, The Hebrew Univ.of Jerusalem, Israel 2 Simbionix Ltd,Israel 3 Dept.Of Radiology, Hadassah Hebrew UniversityMedical Center, Israel [email protected] Abstract. We present a nearly automatic graph-based segmentation methodforpatientspecificmodelingoftheaorticarchandcarotidarter- iesfrom CTAscansforinterventionalradiology simulation.Themethod starts with morphological-based segmentation of theaorta and the con- structionofapriorintensityprobabilitydistributionfunctionforarteries. The carotid arteries are then segmented with a graph min-cut method based on a new edge weights function that adaptively couples the voxel intensity, the intensity prior, and geometric vesselness shape prior. Fi- nally,thesame graph-cutoptimization framework is used for nearly au- tomaticremovalofafewvesselsegmentsandtofillminorvesseldisconti- nuitiesduetohighlysignificantimagingartifacts.Ourmethodaccurately segments the aortic arch, the left and right subclavian arteries, and the common, internal, and external carotids and their secondary vessels. It does not require any user initialization, parameters adjustments, and is relatively fast (150–470 secs). Comparative experimental results on 30 carotid arteries from 15 CTAs from two medical centres manually seg- mentedbyexpertradiologist yieldameansymmetricsurfacedistanceof 0.79mm(std=0.25mm).Thenearlyautomaticrefinementrequiresabout 10seedpointsandtooklessthan2minsoftreatingphysicianinteraction with no technical support for each case. 1 Introduction Minimally invasive endovascular surgeries such as carotid, coronary, and cere- bral angiographic procedures are frequent in interventional radiology. They re- quire experienced physicians and involve time-consuming trial and error with repeated contrast agent injection and X-ray imaging. This leads to outcome variability and non-negligible complication rates. Training simulators such the ANGIOMentorTM (SimbionixLtd,Israel)havethepotentialtosignificantlyre- ducethephysicians’learningcurve,reducetheoutcomevariability,andimprove their performance. A key limitation is the simulators’ reliance on hand-tailored anatomical models generated by a technician from CTA scans, which are im- practical to produce patient-specific simulations in a clinical environment. N.Magnenat-Thalmann(Ed.):3DPH2009,LNCS5903,pp.1–12,2009. (cid:2)c Springer-VerlagBerlinHeidelberg2009
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