Table Of ContentLecture 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
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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
