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 PDF
Preview 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
Lecture Notes in Computer Science 7085 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 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 CRSubjectClassification(1998):J.3,H.4,H.5.2,H.1.2,H.5.1 LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition, andGraphics ©Springer-VerlagBerlinHeidelberg2012 Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting, reproductiononmicrofilmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965, initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Violationsareliable toprosecutionundertheGermanCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,etc.inthispublicationdoesnotimply, evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevantprotectivelaws andregulationsandthereforefreeforgeneraluse. Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) 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
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