Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022 and Fourth MICCAI Workshop, GRAIL 2022 Held in Conjunction with MICCAI 2022 Singapore, September 18, 2022 Proceedings PDF
Preview Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022 and Fourth MICCAI Workshop, GRAIL 2022 Held in Conjunction with MICCAI 2022 Singapore, September 18, 2022 Proceedings
Luigi Manfredi · Seyed-Ahmad Ahmadi · Michael Bronstein · Anees Kazi · Davide Lomanto · Alwyn Mathew · Ludovic Magerand · Kamilia Mullakaeva · Bartlomiej Papiez · Russell H. Taylor · Emanuele Trucco (Eds.) Imaging Systems for GI 4 5 7 3 Endoscopy, and Graphs in 1 S C Biomedical Image Analysis N L First MICCAI Workshop, ISGIE 2022 and Fourth MICCAI Workshop, GRAIL 2022 Held in Conjunction with MICCAI 2022 Singapore, September 18, 2022, Proceedings Lecture Notes in Computer Science 13754 FoundingEditors GerhardGoos KarlsruheInstituteofTechnology,Karlsruhe,Germany JurisHartmanis CornellUniversity,Ithaca,NY,USA EditorialBoardMembers ElisaBertino PurdueUniversity,WestLafayette,IN,USA WenGao PekingUniversity,Beijing,China BernhardSteffen TUDortmundUniversity,Dortmund,Germany MotiYung ColumbiaUniversity,NewYork,NY,USA Moreinformationaboutthisseriesathttps://link.springer.com/bookseries/558 · · Luigi Manfredi Seyed-Ahmad Ahmadi · · Michael Bronstein Anees Kazi · · Davide Lomanto Alwyn Mathew · · Ludovic Magerand Kamilia Mullakaeva · · Bartlomiej Papiez Russell H. Taylor Emanuele Trucco (Eds.) Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis First MICCAI Workshop, ISGIE 2022 and Fourth MICCAI Workshop, GRAIL 2022 Held in Conjunction with MICCAI 2022 Singapore, September 18, 2022 Proceedings Editors LuigiManfredi Seyed-AhmadAhmadi UniversityofDundee Nvidia Dundee,UK Munich,Germany MichaelBronstein AneesKazi UniversityofOxford HarvardUniversity Oxford,UK Boston,USA DavideLomanto AlwynMathew NationalUniversityofSingapore UniversityofDundee Singapore,Singapore Dundee,UK LudovicMagerand KamiliaMullakaeva UniversityofDundee TechnicalUniversityofMunich Dundee,UK Munich,Germany BartlomiejPapiez RussellH.Taylor UniversityofOxford JohnsHopkinsUniversity Oxford,UK Baltimore,USA EmanueleTrucco UniversityofDundee Dundee,UK ISSN 0302-9743 ISSN 1611-3349 (electronic) LectureNotesinComputerScience ISBN 978-3-031-21082-2 ISBN 978-3-031-21083-9 (eBook) https://doi.org/10.1007/978-3-031-21083-9 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicense toSpringerNatureSwitzerlandAG2022 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. 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ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland ISGIE Preface The First International on Imaging Systems for GI Endoscopy (ISGIE 2022) was organized as a satellite event of the 25th International Conference on Medical Image ComputingandComputerAssistedIntervention(MICCAI2022)inSingapore,andheld onSeptember18,2022,asahalf-dayevent. This workshop was specific to the application of imaging systems in the gastrointestinal (GI) tract. The objective of this event was to stimulate an interdisci- plinarydiscussiononclinicalapplicationsfocusingonunmetclinicalneedsaswellas onnewtechnologiesattheR&Dstage,aimingfortranslationintoclinicalpractice.Both clinicalandengineeringcommunitiesbenefitfromthesediscussions,whichfitwiththe MICCAImission. Thisworkshopfocusedonnovelscientificcontributionsonvisionsystems,imaging algorithms,andautonomoussystemsforendorobotsforGIendoscopy,includinglesion andlumendetectionaswellas3DreconstructionoftheGItract.Localizinginteresting featuressuchasthelumen,lesions,orpolypstoberemoved,requirestheirdetectionin theimagesofthevideostream.Deeplearning-basedapproachesofthistaskhavebecome verysuccessfulinrecentyears,withannotateddatasetspubliclyavailabletotrainthem. Challengesremain,especiallyconcerningtherobustnessoftheilluminationbecauseof thereflectivesurface.Potentialsolutionstotheseissueswerediscussedinthisworkshop. Anotherimportantaspectinendoscopy,coveredinthisworkshop,wasthelevelofauton- omyofamedicaldevicetosupporttheclinicalworkforceinperformingtheprocedure. Thisautonomousbehaviorcanbenefitfrom3Dinformationsuchasthelocalizationof thetarget,lumen,orlesion,andthepositionofadevicewithrespecttothewalloftheGI tract.Traditionallythisinformationcouldbeobtainedfromamonocularvideosystem byusingmethodssuchasSLAM,shape-from-template,andnon-rigidstructure-from- motion. More recently, methods based on deep learning monocular depth estimation alsohaveemerged.Thisworkshopaddressedprogressmadewiththoseapproachesand limitationsremainingtosuccessfullymoveadeviceautonomouslyaswellasachieving autonomoussurgicaltasks. Theworkshopconsistedofthepresentationofsixselectedpapersandthreeinvited keynote talks covering both clinical and technical aspects. A technical talk was given byRussellTaylor,ProfessorofComputerSciencewithjointappointmentsinMechani- calEngineering,OtolaryngologyHead-and-NeckSurgery,Radiology,andSurgeryand Director of the Laboratory for Computational Sensing and Robotics (LCSR) at Johns Hopkins University. He provided an overview of current research and technologies togetherwithnewtrendsandfuturetechnologies,includingautonomyinmedicine. Another technical talk was also given by José María Martínez Montiel, Full Pro- fessor inthe Department of Computer Science Systems Engineering at the University of Zaragoza, where he is in charge of perception and computer vision research grants and courses. He presented EndoMapper, a dataset of complete calibrated endoscopy procedures,whichresultsfromafundedEuropeanUnionproject,grantagreementNo. 863146.HecoveredtheimportantaspectsofvisualSLAMandthedatasetprovidedby vi ISGIEPreface thisprojecttosimulatethecolonenvironmentandtoprovidesyntheticdatafortraining purposes.TheclinicaltalkwasgivenbyLawrenceHoKhek-Yu,FullProfessorinthe DepartmentofSurgeryattheNationalUniversityofSingaporeandtheDirectorofthe CentreforInnovationinHealthcare,NationalUniversityHealthSystem.Hepresented current solutions available in clinical practice, providing an in-depth view of unmet clinicalneeds.Histalkcoveredthepatientperspectiveandtheacceptanceofnewtech- nologies, such as AI and robotics, as well as challenges on equality and diversity in endoscopy. TheISGIE2022proceedingscontainsixhigh-qualitypapers,selectedfrom9sub- missionsthrougharigorousdouble-blindpeer-reviewprocess,withthreereviewersfor eachpaper,allofthemexpertsonthetopic.Fullauthorshipanddomainconflictswere disclosedinCMT,themanuscriptsubmissionsystem,inordertoavoidconflictofinter- estbetweenauthorsandreviewersofthepapers.Theacceptedmanuscriptscoverlight adaptationforclassificationoftheupperGIsites,criss-crossattentionforGImetaplasia segmentation, landmark detection using vision transformers in colonoscopy, real-time lumendetectionforautonomouscolonoscopy,SuperPointfeaturesincolonoscopy,and estimating coverage in 3D reconstruction of the colon from colonoscopy videos. We wouldliketothankalltheISGIE2022authorsfortheirsubmissionsandparticipation, themembersoftheorganizingteam,thereviewers,andthekeynotespeakersfortheir valuable contributions and commitment to the workshop. We would like to thank our sponsorOlympusforitssupportbyfundinganawardof1,000USDforthebestpresen- tation, which went to O. León Barbed fromDIIS-i3A, University of Zaragoza, Spain, forhistalkon“SuperPointFeaturesinEndoscopy”. TheproceedingsofourworkshoparepublishedasajointLNCSvolumealongside theFourthInternationalWorkshoponGraphsinBiomedicalImageAnalysis(GRAIL 2022),organizedinconjunctionwithMICCAI.Inadditiontothepapers,abstractsand slides presented during the workshop will be made publicly available on the ISGIE website(https://miccai2022-isgie.github.io/). September2022 LuigiManfredi RussellTaylor DavideLomanto AlwynMathew LudovicMagerand EmanueleTrucco Preface GRAIL 2022 TheFourthInternationalWorkshoponGRaphsinbiomedicAlImageanaLysis(GRAIL 2022)wasorganizedasasatelliteeventofthe25thInternationalConferenceonMedical ImageComputingandComputerAssistedIntervention(MICCAI2022)inSingapore. Following two years of entirely virtual conference events, we were excited to offer our community a hybrid event, and finally meet some of our colleagues face-to-face again.Afterthesuccessandpositivefeedbackobtainedinpreviousyears,GRAILhad itsfourtheventatMICCAI2022,inthespiritofstrengtheningthelinksbetweengraphs andbiomedicalimaging. This workshop provides a unique opportunity to meet and discuss both theoreti- cal advances in graphical methods and the practicality of such methods when applied to complex biomedical imaging problems. Simultaneously, the workshop seeks to be aninterfacetofosterfutureinterdisciplinaryresearch,includingsignalprocessingand machinelearningongraphs. Graphs and related graph-based modeling have attracted an exponentially grow- ing research interest in recent years, as they enable us to represent complex data and their interactions in a perceptually meaningful way. With the emergence of big data in the medical imaging community, the relevance of graphs as a means to represent datasampledfromirregularandnon-Euclideandomainsisincreasing,togetherwiththe development of new inference and learning methods that operate on such structures. Thereisawiderangeofwell-establishedandemergingbiomedicalimagingproblems thatcanbenefitfromtheseadvances.Webelievethattheresearchpresentedatthiswork- shopconstitutesaclearexampleofthat.ComparedtoourpreviousGRAILevents,we specifically encouraged submissions in the areas of explainable GNNs, graph models in computer-aided surgery/intervention, unstructured medical big data, and semantic knowledge(scene/knowledgegraphs). The GRAIL 2022 proceedings contain six high-quality papers of 9–10 pages that werepre-selectedfrom10submissionsinarigorouspeer-reviewprocess.Allsubmis- sions were peer-reviewed in a double-blind process by at least three members of the reviewingboardandProgramCommittee,comprising20expertsongraphsinbiomed- ical image analysis, with each member undertaking at least one review. The accepted manuscriptscoverawidesetofgraph-basedmedicalimageanalysismethodsandappli- cations. As in previous years, one of the primary domains of imaging-related graph methods are brain connectomics. Papers this year proposed brain connectome encod- ing methods for anomaly detection and disease diagnosis; generation of post-surgical connectomes in tumor patients; multimodal brain connectome fusion methods; and transforming connectomes to arbitrary brain parcellations via graph matching. Out- sideofbrainimaging,wesawanapplicationofgraphsforlabelingofvasculaturetrees, and improved annotation of whole slide images in digital pathology with hierarchical cell-graphs. InadditiontothepaperspresentedinthisLNCSvolume,theworkshopeventfea- tured four outstanding keynote presentations from world-renowned experts: Marinka viii PrefaceGRAIL2022 ZitnikfromHarvardMedicalSchoolon“TrustworthyAIwithGNNExplainers”,Mark O’Donoghue from Astra Zeneca on “Knowledge Graphs for Drug Discovery”, Islem Rekik from the Technical University of Istanbul on “Debunking the brain connectiv- ityusingpredictivelearningfromlimiteddata”,andXavierBressonfromSeaAILab (formerlyfromtheNationalUniversityofSingapore)on“GNNtrendsin2022”. WewishtothankalltheGRAIL2022authorsfortheirsubmissionsandparticipation, the members of the Program Committee, the numerous reviewers, and of course the keynote speakers for their valuable contributions and commitment to the workshop. Finally, we are very grateful to our sponsor NVIDIA for their generous support, by awardingaGPUtothebestworkshoppresentation. TheproceedingsofourworkshoparepublishedasajointLNCSvolumealongside theFirstInternationalWorkshoponImagingSystemsforGIEndoscopy(ISGIE2022), organizedinconjunctionwithMICCAI.Inadditiontothepapers,abstractsandslides presentedduringtheworkshopwillbemadepubliclyavailableontheGRAILwebsite (http://grail-miccai.github.io/). September2022 Seyed-AhmadAhmadi AneesKazi BartlomiejPapiez KamiliaMullakaeva MichaelBronstein Organization GeneralChairsISGIE2022 LuigiManfredi UniversityofDundee,UK DavideLomanto NationalUniversityofSingapore RussellTaylor JohnsHopkinsUniversity,USA ProgramCommitteeISGIE2022 AlwynMathew(Chair) UniversityofDundee,UK LudovicMagerand(Chair) UniversityofDundee,UK EmanueleTrucco(Chair) UniversityofDundee,UK BaidaaAl-Bander KeeleUniversity,UK AdrienBartoli ClermontUniversityHospital,France ZhenLi ChineseUniversityofHongKong,Shenzhenand ShenzhenResearchInstituteofBigData (SRIBD),China LiuLi ChineseUniversityofHongKong,Shenzhen, China AriannaMenciassi ScuolaSuperioreSant’AnnaofPisa,Italy MathieuPioch CHUdeLyon,France AdditionalReviewersISGIE2022 ZixunZhang JunWei ZhuoLi JieYang YunchengJiang JacobCarse YiwenHu JoséMaríaMartínezMontiel YeZhu DanielPizarro WeizhenDing WeijieMa BehzadMirmahboub MarianHimstedt AgnivaSengupta SponsorsISGIE2022 We are very grateful to our sponsor Olympus for their valuable support and awarding 1,000USDtothebestpaper.
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