Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16

360 Pages·2018·52.763 MB·English

by  Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne Martel, Lena Maier-Hein, Kanwal Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga

Danail Stoyanov · Zeike Taylor
Bernhard Kainz · Gabriel Maicas
Reinhard R. Beichel et al. (Eds.)
Image Analysis
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and Thoracic Images
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Third International Workshop, RAMBO 2018
Fourth International Workshop, BIA 2018
and First International Workshop, TIA 2018
Held in Conjunction with MICCAI 2018
Granada, Spain, September 16 and 20, 2018, Proceedings
123
Lecture Notes in Computer Science 11040
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Carnegie Mellon University, Pittsburgh, PA, USA
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University of Surrey, Guildford, UK
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Cornell University, Ithaca, NY, USA
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ETH Zurich, Zurich, Switzerland
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Stanford University, Stanford, CA, USA
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Weizmann Institute of Science, Rehovot, Israel
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Indian Institute of Technology Madras, Chennai, India
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TU Dortmund University, Dortmund, Germany
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University of California, Los Angeles, CA, USA
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University of California, Berkeley, CA, USA
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Max Planck Institute for Informatics, Saarbrücken, Germany
More information about this series at http://www.springer.com/series/7412
Danail Stoyanov Zeike Taylor
(cid:129)
Bernhard Kainz Gabriel Maicas
(cid:129)
Reinhard R. Beichel et al. (Eds.)
Image Analysis
for Moving Organ, Breast,
and Thoracic Images
Third International Workshop, RAMBO 2018
Fourth International Workshop, BIA 2018
and First International Workshop, TIA 2018
Held in Conjunction with MICCAI 2018
Granada, Spain, September 16 and 20, 2018
Proceedings
123
Editors
DanailStoyanov GabrielMaicas
University CollegeLondon University of Adelaide
London,UK Adelaide, SA,Australia
ZeikeTaylor Reinhard R.Beichel
University of Leeds University of Iowa
Leeds,UK Iowa City,IA, USA
Bernhard Kainz
Imperial CollegeLondon
London,UK
Additional WorkshopEditors seenext page
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-030-00945-8 ISBN978-3-030-00946-5 (eBook)
https://doi.org/10.1007/978-3-030-00946-5
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Additional Workshop Editors
Tutorial and Educational Chair
Anne Martel
University of Toronto
Toronto, ON
Canada
Workshop and Challenge Co-chair
Lena Maier-Hein
German Cancer Research Center (DKFZ)
Heidelberg
Germany
Third International Workshop on Reconstruction and Analysis
of Moving Body Organs, RAMBO 2018
Kanwal K. Bhatia Ozan Oktay
Visulytix Limited Imperial College London
London London
UK UK
Tom Vercauteren
King’s College London
London
UK
Fourth International Workshop on Breast Image Analysis,
BIA 2018
Gustavo Carneiro Jacinto C. Nascimento
University of Adelaide Instituto Superior Técnico
Adelaide, SA Lisboa
Australia Portugal
Andrew P. Bradley Hang Min
Queensland University of Technology University of Queensland
Brisbane, QLD Brisbane, QLD
Australia Australia
VI Additional Workshop Editors
First International Workshop on Thoracic Image Analysis,
TIA 2018
Matthew S. Brown Jens Petersen
David Geffen School of Medicine University of Copenhagen
at UCLA Copenhagen
Los Angeles, CA Denmark
USA
Raúl San José Estépar
Colin Jacobs Harvard Medical School
Radboud University Medical Center Boston, MA
Nijmegen USA
The Netherlands
Alexander Schmidt-Richberg
Bianca Lassen-Schmidt Philips Research Laboratories
Fraunhofer Institute for Medical Image Hamburg
Computing (MEVIS) Germany
Bremen
Catarina Veiga
Germany
University College London
Kensaku Mori
London
Nagoya University
UK
Nagoya
Japan
RAMBO 2018 Preface
Physiological motion is an important factor in several medical imaging applications.
The speed of motion may inhibit the acquisition of high-resolution images needed for
effectivevisualizationandanalysis,forexample,incardiacorrespiratoryimagingorin
functional magnetic resonance imaging (fMRI) and perfusion applications. Addition-
ally,incardiacandfetalimaging,thevariationintheframeofreferencemayconfound
automatedanalysispipelines.Theunderlyingmotionmayalsoneedtobecharacterized
either to enhance images or for clinical assessment. Techniques are therefore needed
for faster or more accurate reconstruction or for analysis of time-dependent images.
Despite the related concerns, few meetings have focused on the issues caused by
motion in medical imaging, without restriction on the clinical application area or
methodology used.
After a very successful international workshop on Reconstruction and Analysis of
Moving Body Organs (RAMBO) at MICCAI 2016 in Athens, Greece, and MICCAI
2017inQuebec,Canada,weareproudtohaveorganizedthismeetingforthethirdtime
in conjunction with MICCAI 2018 in Granada, Spain.
RAMBOwassetuptoprovideadiscussionforumforresearchersforwhommotion
and its effects on image analysis or visualization is a key aspect of their work. By
invitingcontributionsacrossallapplicationareas,theworkshopaimedtobringtogether
ideas from different areas of specialization, without being confined to a particular
methodology. In particular, the recent trend to move from model-based to
learning-based methods of analysis has resulted in increased transferability between
application domains. A further goal of this workshop series is to enhance the links
between image analysis (including computer vision and machine learning techniques)
and image acquisition and reconstruction, which generally tends to be addressed in
separate meetings.
The presentedcontributions cover registration andtrackingtoimagereconstruction
and information retrieval techniques, while application areas include cardiac, pul-
monary, abdominal, fetal, and renal imaging, showing the breadth of interest in the
topic. Research from both academia and industry was presented and keynote lectures
from Dr. Leo Grady (Senior Vice President of Engineering at HeartFlow Inc.) and
Dr.ElisendaEixarch(ConsultantandAssociateProfessor,FetalandPerinatalMedicine
Research Group, Hospital Clínic de Barcelona) gave an overview of recent
developments.
We believe that this workshop fosters the cross-fertilization of ideas across appli-
cationdomainswhiletacklingandtakingadvantageoftheproblemsandopportunities
arising from motion in medical imaging.
August 2018 Bernhard Kainz
Kanwal Bhatia
Tom Vercauteren
Ozan Oktay
BIA 2018 Preface
Welcome to the fourth edition of the Breast Image Analysis (BIA) workshop held in
conjunctionwithMICCAI.TheaimofBIAistobringtogetherthegrowingnumberof
researchers in the field given the significant amount of effort in the development of
toolsthatcanautomatetheanalysisandsynthesisofbreastimaging.Themainpurpose
of the workshop is to provide a stimulating environment for an in-depth discussion of
important recent developments among experts in the field that enables future research
impact in the field. For the keynote talks, we invited Prof. Anne Martel from Sunny-
brook Health Sciences Centre, Assist. Prof. Orcun Goksel from ETH Zurich and
Dr.MarkusWenzelfromFraunhoferInstituteforMedicalImageComputingMEVIS-
they represent three prominent researchers in the field of breast image analysis.
The first call for papers for the 4th BIA was released on April 4, 2018 and the last
call was done on June 5, 2018, with the paper deadline set to June 18, 2018. The
submission site of BIA received 22 papers registrations, from which 18 papers turned
intofullpapersubmissions.Eachsubmissionwasreviewedbythreeorfourreviewers.
The chairs decided to select nine out of the 18 submissions (50% acceptance rate)
based on the majority voting of three meta-reviewers. Meta-reviewers decided on
acceptance or rejection based on the scores and comments made by the reviewers.
Finally, we would like to acknowledge the support from the Australian Research
Council for the realisation of this workshop (discovery project DP180103232). We
would also like to thank the program committee members of BIA.
July 2018 BIA Workshop Chairs
TIA 2018 Preface
TheFirstInternationalWorkshoponThoracicImageAnalysiswasheldattheMedical
Image Computing and Computer-Assisted Intervention Conference (MICCAI) in
Granada,Spain,2018.BuildingonthehistoryofthePulmonaryImageAnalysiswork-
shop,aroughlybiannualeventatMICCAIgoingback10years,theaimoftheworkshop
wastobringtogethermedicalimageanalysisresearchersintheareaofthoracicimagingto
discuss recent advances in this rapidly developing field. Cardiovascular disease, lung
cancer,andchronicobstructivepulmonarydisease(COPD),threediseasesallvisibleon
thoracicimaging,areamongthetopcausesofdeathworldwide.Manyimagingmodalities
arecurrentlyavailabletostudythepulmonaryandcardiacsystem,includingradiography,
computed tomography (CT), positron emission tomography (PET) and magnetic reso-
nanceimaging(MRI).Papersdealingwithallaspectsofimageanalysisofthoracicdata,
includingbutnotlimitedtosegmentation,registration,quantification,modellingofthe
image acquisition process, visualization, validation, statistical modelling biophysical
modelling(computationalanatomy),deeplearning,imageanalysisinsmallanimals,and
novelapplicationswereinvited.Good-sizedindependentvalidationstudiesontheuseof
deep learning models in the area of thoracic imaging, despite having possibly little
technicalnovelty,wereparticularlyinvited.
The 21 papers submitted to the workshop were reviewed in a double-blind manner
with at least two reviewers per paper, whose affiliations and recent publications were
checked to avoid conflicts of interests. Finally, 20 papers were accepted for presen-
tationaseitheroralorposter.Oftheacceptedpapers,18werelongformat(8–12pages)
and two were short format (4–7 pages). The papers were grouped into four topics,
which are reflected in the structure of this volume: Image Acquisition and Enhance-
ment (3), Image Segmentation (7), Image Registration (4), and Computer-Aided
Diagnosis (6). Deep learning is undoubtedly a hot topic in the community, with
techniquesliketransferlearningandgenerativeadversarialnetworksbeinginthefocus
of recent research activities. We were pleased to note that the majority (70%) of the
submissionswereontheuseofsuchstate-of-the-artmethodsforavarietyofimportant
clinical applications – some examples include enhancement of chest radiographs,
image registration of the lungs, lung cancer screening, and segmentation of airways.
The imaging modalities used were a good mixture of 2D X-ray, 3D CT, 4D CT, and
functional MRI, demonstrating the complementary information brought together by
different modalities used to study the thoracic system.
Wewouldliketoexpressourgratitudetoalltheauthorsforsubmittingpaperstothe
First International Workshop on Thoracic Image Analysis, as well as to everyone
involved in the organization and peer review process.
July 2018 TIA Workshop Chairs