Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers

298 Pages·2012·17.09 MB·English

by  Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Sudip Ghate, Jatin Relan (auth.), Oscar Camara, Ender Konukoglu, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young (eds.)

Lecture Notes in Computer Science 7085
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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
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StanfordUniversity,CA,USA
MoniNaor
WeizmannInstituteofScience,Rehovot,Israel
OscarNierstrasz
UniversityofBern,Switzerland
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IndianInstituteofTechnology,Madras,India
BernhardSteffen
TUDortmundUniversity,Germany
MadhuSudan
MicrosoftResearch,Cambridge,MA,USA
DemetriTerzopoulos
UniversityofCalifornia,LosAngeles,CA,USA
DougTygar
UniversityofCalifornia,Berkeley,CA,USA
GerhardWeikum
MaxPlanckInstituteforInformatics,Saarbruecken,Germany
Oscar Camara Ender Konukoglu
Mihaela Pop Kawal Rhode
Maxime Sermesant AlistairYoung (Eds.)
Statistical Atlases
and Computational Models
of the Heart
Imaging and Modelling Challenges
Second International Workshop, STACOM 2011
Held in Conjunction with MICCAI 2011
Toronto, ON, Canada, September 22, 2011
Revised Selected Papers
1 3
VolumeEditors
OscarCamara
UniversityofPompeuFabra,PlaçadelaMercè10-12,08002Barcelona,Spain
E-mail:[email protected]
EnderKonukoglu
MicrosoftResearch,7JJThomsonAvenue,CambridgeCB30FB,UK
E-mail:[email protected]
MihaelaPop
UniversityofToronto,610UniversityAvenue,Toronto,ON,M5G2M9,Canada
E-mail:[email protected]
KawalRhode
King’sCollege,St.Thomas’Hospital,LambethWing,LondonSE17EH,UK
E-mail:[email protected]
MaximeSermesant
InriaSophiaAntipolis-Méditerranée
2004RoutedesLucioles-BP93,06902SophiaAntipolisCedex,France
E-mail:[email protected]
AlistairYoung
UniversityofAuckland,85ParkRoad,Auckland1023,NewZealand
E-mail:[email protected]
ISSN0302-9743 e-ISSN1611-3349
ISBN978-3-642-28325-3 e-ISBN978-3-642-28326-0
DOI10.1007/978-3-642-28326-0
SpringerHeidelbergDordrechtLondonNewYork
LibraryofCongressControlNumber:2012930995
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Preface
This year’sedition of STACOM was held in conjunction with the MICCAI con-
ference (Toronto, Canada), and followed last year’s workshop, STACOM 2010
(heldin2010,Beijing,China),withthe samegoaloforganizinganinternational
event that provides a forum for the discussion of the latest developments in the
areasofstatisticalatlasesandcomputationalimagingandmodellingoftheheart.
Thisbroadaimincluded:cardiacmapping,imageprocessing,atlasconstruction,
statisticalmodellingofcardiacfunctionacrossdifferentpatientpopulations,car-
diac computational physiology, model personalization, ontological schemata for
dataandresults,atlas-basedfunctionalanalysis,integratedfunctionalandstruc-
tural analyses, as well as the clinical applicability of these methods. STACOM
2011 again attracted participants from around the world, with 28 papers ac-
cepted and published by Springer in this volume of Lecture Notes in Computer
Science.Besidesregularcontributionsonstate-of–the-artcardiacimageanalysis
techniques, atlases and computational models that integrate data from large-
scaledatabasesofheartshape,functionandphysiology,additionaleffortsofthis
year’s STACOM workshop focused on imaging and modelling challenges.
The integration of cardiac models in pre-clinical and clinical platforms is
important for understanding disease, evaluating treatment, and planning inter-
vention. However,significant clinical translationof these tools is constrainedby
the lack of complete and rigorous technical and clinical validation, as well as
benchmarking of the developed tools. To validate the models, available ground-
truth data capturing generic knowledge on healthy and pathological hearts are
required. Several efforts are now established to provide Web-accessible struc-
turalandfunctionalexperimentaldatasetsfor clinical,researchandeducational
purposes. We believe that these approaches will only be effectively developed
through collaboration across the full research scope of the cardiac imaging and
modellingcommunities.Lastyear’sSTACOMworkshopwascomplementedwith
theCESC2010challenge,whereacompletedatasetcontainingcardiacgeometry
andfiberorientationsfromdiffusion-tensorMRIaswellasepicardialtransmem-
brane potentials from opticalmapping (acquiredat Sunnybrook ResearchInsti-
tute,UniversityofToronto)wasprovidedinadvancefortheanalysisofdifferent
strategies for the personalization of electrophysiological models. This resulted
in a joint journal publication including all CESC 2010 participants, and was
recently published in Progress in Biophysics and Molecular Biology (Camara et
al, 2011).
STACOM2011wasenhancedbytheorganizationofthreedifferentchallenges
forparticipantsto testtheir computationaltoolsongivendata:anElectrophys-
iology (EP) Simulation Challenge (organized by the Sunnybrook Research In-
stitute - University of Toronto, and Inria - France), a Cardiac Motion Analysis
Challenge (organized by Kings College London and Universitat Pompeu Fabra,
VI Preface
Barcelona)and a Cardiac SegmentationChallenge (organizedby the University
of Auckland); each challenge is briefly described here.
TheElectrophysiology(EP)SimulationChallengewasorganizedwiththeaim
to better understand structural and electrical functional properties of healthy
and infarcted hearts using a fusion of EP and (MRI) data obtained in a pre-
clinical animal model. Specifically, two datasets (acquired at Sunnybrook Re-
searchInstitute, Toronto)obtainedinhealthy andinfarctedporcineheartswere
made available to the challengers in order to validate their computer models.
These datasets included in vivo EP data (i.e., electro-anatomical voltage and
isochronal maps acquired with the CARTO-XP system, Biosense Webster) and
corresponding high-resolution ex vivo 3D diffusion-weighted MRI scans (from
which the anatomy,infarct extent andfiber direction wereextracted). However,
this year’s EP simulation challenge did not aim to compare the results among
challengers, but was rather focused on different applications and modelling ap-
proachesusingtheEP-MRIdataprovided.Threeresearchgroupsparticipatedin
thechallenge,fromthefollowinginstitutions:Inria-AsclepiosProject(France),
Rochester Institute of Technology (USA) and Sunnybrook Research Institute
(Toronto, Canada). Each group presented a different application to 3D MR
image-based cardiac computer modelling using one or both EP-MRI datasets.
These applications concerned forward and/or inverse theoretical problems that
applytocomputationalelectrophysiology,andaimedtoeithervalidatesimpleor
complex mathematical models, to optimize the model’s parameterization from
EPmeasuresortodetectnon-invasivelytheinfarctscar.Acollatejournalpaper
summarizing all these EP simulation challenge results is under preparation.
Many forms of cardiac pathology affect the pattern of motion of the my-
ocardium. Analysis of this motion can be useful for diagnosis, treatment plan-
ning,treatmentguidanceandtreatmentfollow-up.Echocardiography(echo)and
MRI are the imaging modalities of choice for studying myocardial motion, but
quantitative analysiscanbe very time-consuming andprone to inter- andintra-
observervariability.Therecentdevelopmentofseveralsemi-andfully-automatic
motion analysis algorithms has the potential to make a significant clinical im-
pact in the field of cardiology. The benchmarking of these methods in terms of
accuracy and robustness is necessary in order to make the approaches feasible
for widespread clinical translation. This was the motivation for the First Car-
diacMotionAnalysisChallenge(cMAC)thattookplaceaspartofthe MICCAI
2011conference.State-of-the-artimagingacquisitionmethods wereemployedto
acquire four-dimensional (4D) echo and MRI data of a left ventricular phan-
tom (at the University of Ulm, Germany) and 15 healthy volunteers (at King’s
College London, UK). These data were made available to participants in or-
der to quantify the deformation fields and subsequently compare the results
with manualgroundtruth annotations.Four internationalresearchgroups took
part in the challenge: Fraunhofer MEVIS, Bremen, Germany; Imperial College
London/UniversityCollegeLondon,UK;UniversitatPompeuFabra,Barcelona,
Spain; and Inria—Asclepios Project, France. Each participant quantified defor-
mation fields from either or both of the echo and MRI data. The protocols
Preface VII
for the data acquisition and the methodologies and results from each of the
participants are presented within this volume. Quantitative comparison with
the ground truth and a comparison between participants will be the subject of
a future journal publication. The longevity of the availability of the data has
been assured by making the data available through the Cardiac Atlas Project
(www.cardiacatlas.org) so that researchers can use the data for future bench-
marking.
The 2011 Left Ventricular Segmentation Challenge was organized to allow
researchers to test their segmentation algorithms on a large dataset. In total,
there were200casesofcardiacMRI dataconsisting ofpatients with myocardial
infarctionfromtheDETERMINEcohort,madeavailableforthischallengefrom
the CardiacAtlas Projectdatabase.Halfofthe datawererandomlyselectedfor
testingandthe remainingonesweresetforthechallenge.Asetofgroundtruth-
labeled images, manually and carefully drawn by experts, was provided in the
test set to the participants. The objective of this challenge was rather uncom-
mon compared with previous segmentation challenges. This challenge was held
as a collaborative effort between peers to produce better ground truth images
of the myocardium. As such, there was no ’winner’ and the results were pre-
sented without ranks. The Expectation-Maximization-based STAPLE method
was applied to estimate the ground truth images from all the participants. Five
automated segmentation methods and two sets of expert contours participated
in this challenge. A collation study of this segmentation challenge is presented
in these proceedings.
We hope that the results obtained by the three challenges, together with
the regularpaper contributions, will act to accelerate progressin the important
areas of heart function and structure analysis.
September 2011 Oscar Camara
Ender Konukoglu
Mihaela Pop
Kawal Rhode
Maxime Sermesant
Alistair Young
Organization
WewouldliketothanktheProgramCommittee,theadditionalreviewers,andall
participantsfortheirtimeandeffort,aswellasoursponsors:OntarioConsortium
for Imaging in Cardiovascular Therapeutics (Canada), Siemens AG (Siemens
CorporateResearch,PrincetonNJ,USA)andScimedia/BrainVision(Japanand
USA).
Chairs
Oscar Camara Universitat Pompeu Fabra, Spain
Ender Konukoglu Microsoft Research, UK
Mihaela Pop University of Toronto, Canada
Kawal Rhode King’s College London, UK
Maxime Sermesant Inria, France
Alistair Young University of Auckland, New Zealand
Program Committee
Leon Axel New York University, USA
Nicholas Ayache Inria, France
Antonio Criminisi Microsoft, UK
Herv´e Delingette Inria, France
Alejandro Frangi Universitat Pompeu Fabra, Spain
Peter Hunter University of Auckland, New Zealand
Tommaso Mansi Siemens Corporate Research, USA
Perry Radau Sunnybrook Health Sciences Centre, Canada
Reza Razavi King’s College London, UK
Nic Smith King’s College London, UK
Graham Wright University of Toronto, Canada
Challenges—Organizing Teams
Segmentation Challenge: Alistair Young, Avan Suinesiaputra
Motion Challenge: KawalRhode, Mathieu de Craene, Catalina Tobon-Gomez
EP Simulation Challenge: Mihaela Pop, Graham Wright, Maxime Sermesant
X Organization
Additional Referees
Constantine Butakoff Kilian Pohl
Ruben Cardenes Brett R. Cowan
Mathieu de Craene Jean-Marc Peyrat
Daniel Ennis St´ephanie Marchesseau
Pau Medrano-Gracia Kristin McLeod
Yingliang Ma Ben Glocker
Wenzhe Shi Maria J. Ledesma-Carbayo
Xiahai Zhuang Bart Bijnens
Bjoern Menze
Sponsoring Institutions
TheSTACOM2011workshopwassponsoredbytheOntarioConsortiumforImag-
inginCardiovascularTherapeutics(Ontario,Canada),SiemensAG(SiemensCor-
porateResearch,PrincetonNJ,USA)andScimedia/BrainVision(JapanandUSA)
and was endorsed by SCMR (Society for Cardiovascular Magnetic Resonance,
USA).
Table of Contents
EP Simulation Challenge
EP Challenge - STACOM’11: Forward Approaches to Computational
Electrophysiology Using MRI-Based Models and In-Vivo CARTO
Mapping in Swine Hearts ......................................... 1
Mihaela Pop, Maxime Sermesant, Tommaso Mansi,
Eugene Crystal, Sudip Ghate, Jatin Relan, Charles Pierre,
Yves Coudiere, Jennifer Barry, Ilan Lashevsky, Beiping Qiang,
Elliot R. McVeigh, Nicholas Ayache, and Graham A. Wright
Personalisation of a 3D Ventricular Electrophysiological Model, Using
Endocardial and Epicardial Contact Mapping and MRI ............... 14
Jatin Relan, Maxime Sermesant, Herv´e Delingette, and
Nicholas Ayache
TransmuralElectrophysiologicand Scar Imaging on PorcineHeart with
Chronic Infarction ............................................... 23
Linwei Wang, Fady Dawoud, Ken C.L. Wong, Heye Zhang,
Huafeng Liu, Albert C. Lardo, and Pengcheng Shi
Motion Tracking Challenge
A Multimodal Database for the 1st Cardiac Motion Analysis
Challenge ....................................................... 33
Catalina Tobon-Gomez, Mathieu De Craene, Annette Dahl,
Stam Kapetanakis, Gerry Carr-White, Anja Lutz, Volker Rasche,
Patrick Etyngier, Sebastian Kozerke, Tobias Schaeffter,
Chiara Riccobene, Yves Martelli, Oscar Camara,
Alejandro F. Frangi, and Kawal S. Rhode
Automatic Cardiac Motion Tracking Using Both Untagged and 3D
Tagged MR Images............................................... 45
Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon Duckett,
KaiPin Tung, Philip Edwards, Reza Razavi, Sebastien Ourselin, and
Daniel Rueckert
An Incompressible Log-Domain Demons Algorithm for Tracking Heart
Tissue .......................................................... 55
Kristin McLeod, Adityo Prakosa, Tommaso Mansi,
Maxime Sermesant, and Xavier Pennec
XII Table of Contents
Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to
Motion and Deformation Quantification of Tagged MRI Sequences ..... 68
Mathieu De Craene, Catalina Tobon-Gomez, Constantine Butakoff,
Nicolas Duchateau, Gemma Piella, Kawal S. Rhode, and
Alejandro F. Frangi
Motion Analysis with Quadrature Filter Based Registration of Tagged
MRI Sequences .................................................. 78
Lennart Tautz, Anja Hennemuth, and Heinz-Otto Peitgen
Segmentation Challenge
Left Ventricular Segmentation Challenge from Cardiac MRI:
A Collation Study ............................................... 88
Avan Suinesiaputra, Brett R. Cowan, J. Paul Finn,
Carissa G. Fonseca, Alan H. Kadish, Daniel C. Lee,
Pau Medrano-Gracia, Simon K. Warfield, Wenchao Tao, and
Alistair A. Young
Automatic Segmentation of the Myocardium in Cine MR Images Using
Deformable Registration .......................................... 98
Marie-Pierre Jolly, Christoph Guetter, Xiaoguang Lu, Hui Xue, and
Jens Guehring
Layered Spatio-temporal Forests for Left Ventricle Segmentation from
4D Cardiac MRI Data............................................ 109
J´an Margeta, Ezequiel Geremia, Antonio Criminisi, and
Nicholas Ayache
Myocardial Segmentation Using Contour-Constrained Optical Flow
Tracking........................................................ 120
Ahmed S. Fahmy, Ahmed O. Al-Agamy, and Ayman Khalifa
Regular Papers
Optimization for Multi-Region Segmentation of Cardiac MRI.......... 129
Johannes Ul´en, Petter Strandmark, and Fredrik Kahl
Analysis of Catheter-Based Registration with Vessel-Radius Weighting
of 3D CT Data to 2D X-ray for Cardiac Catheterisation Procedures in
a Phantom Study ................................................ 139
Michael Truong, Thomas Gordon, Reza Razavi,
Graeme Penney, and Kawal S. Rhode
Myocardial Contractility and Regional Work throughout the Cardiac
Cycle Using FEM and MRI ....................................... 149
Vicky Y. Wang, Daniel B. Ennis, Brett R. Cowan,
Alistair A. Young, and Martyn P. Nash