Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation: International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedi

214 Pages·2018·25.044 MB·English

by  Danail Stoyanov, Zeike Taylor, Stephen Aylward, João Manuel R.S. Tavares, Yiming Xiao, Amber Simpson, Anne Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani

Danail Stoyanov · Zeike Taylor
Stephen Aylward · João Manuel R. S. Tavares
Yiming Xiao · Amber Simpson et al. (Eds.)
2
4
Simulation, Image Processing,
0
1
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and Ultrasound Systems for

S
C
N Assisted Diagnosis and Navigation
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International Workshops, POCUS 2018, BIVPCS 2018,
CuRIOUS 2018, and CPM 2018
Held in Conjunction with MICCAI 2018
Granada, Spain, September 16–20, 2018, Proceedings
123
Lecture Notes in Computer Science 11042
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Lancaster University, Lancaster, UK
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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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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)
ã
Stephen Aylward Jo o Manuel R. S. Tavares
(cid:129)
Yiming Xiao Amber Simpson et al. (Eds.)
(cid:129)
Simulation, Image Processing,
and Ultrasound Systems for
Assisted Diagnosis and Navigation
International Workshops, POCUS 2018, BIVPCS 2018,
CuRIOUS 2018, and CPM 2018
Held in Conjunction with MICCAI 2018
–
Granada, Spain, September 16 20, 2018
Proceedings
123
Editors
DanailStoyanov João Manuel R. S.Tavares
University CollegeLondon University of Porto
London,UK Porto, Portugal
ZeikeTaylor Yiming Xiao
University of Leeds RobartsResearch Institute
Leeds,UK Western University
London,ON,Canada
StephenAylward
Kitware Inc. Amber Simpson
Carrboro, NC, USA Memorial SloanKettering Cancer Center
NewYork,NY, USA
Additional WorkshopEditors seenext page
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-030-01044-7 ISBN978-3-030-01045-4 (eBook)
https://doi.org/10.1007/978-3-030-01045-4
LibraryofCongressControlNumber:2018955279
LNCSSublibrary:SL6–ImageProcessing,ComputerVision,PatternRecognition,andGraphics
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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
International Workshop on Bio-Imaging and Visualization
for Patient-Customized Simulations, BIVPCS 2018
Shuo Li
University of Western Ontario
London, ON
Canada
International Workshop on Correction of Brainshift
with Intra-Operative Ultrasound, CuRIOUS 2018
Hassan Rivaz Matthieu Chabanas
Concordia University Grenoble Institute of Technology
Montréal, QC Grenoble
Canada France
Ingerid Reinertsen
SINTEF Health Research
Trondheim
Norway
VI Additional Workshop Editors
International Workshop on Computational Precision Medicine,
CPM 2018
Keyvan Farahani
National Cancer Institute
Bethesda, MD
USA
POCUS 2018 Preface
For the full potential of point-of-care ultrasound (POCUS) to be realized, POCUS
systems must be approached as if they were new diagnostic modalities, not simply
inexpensive, portable ultrasound image systems. Building on the highly successful
MICCAI 2017 POCUS Workshop, this MICCAI 2018 workshop dedicated to the
research and clinical evaluations of the technologies specific to POCUS. POCUS
involvesautomateddataanalyses,ruggedhardware,andspecializedinterfacestoguide
novice users to properly place and manipulate an ultrasound probe and interpret the
returnedultrasounddata.Inparticular,theoutputofaPOCUSsystemshouldtypically
be quantitative measures and easy-to-understand reformulations of the acquired data,
notb-modeimages;itshouldbeassumedthattheexpertiseneededtointerpretb-mode
imageswillnotbereadilyavailableatthepointsofcare.Imageanalysisalgorithmsas
well as tracking and systems engineering are essential to POCUS applications.
Example applications include detection of intra-abdominal bleeding by emergency
medical services (EMS) personnel for patient triage at the scene of an accident,
diagnosis of increased intra-cranial pressure by medics using computer-assisted mea-
surement of optic nerve sheath diameter, and monitoring of liver tissue health in the
homes of at-risk patients. At the workshop, attendees learned from leaders in POCUS
research via oral presentations as well as via numerous live demonstrations.
September 2018 Stephen Aylward
Emad Boctor
Gabor Fitchinger
BIVPCS 2018 Preface
Imaging and visualization are among the most dynamic and innovative areas of
research of the past few decades. Justification of this activity arises from the require-
ments of important practical applications such as the visualization of computational
data,theprocessingofmedicalimagesforassistingmedicaldiagnosisandintervention,
and the 3D geometry reconstruction and processing for computer simulations. Cur-
rently, owing to the development of more powerful hardware resources, mathematical
and physical methods, investigators have been incorporating advanced computational
techniques to derive sophisticated methodologies that can better enable the solution
oftheproblems encountered. Consequenttotheseefforts, anyeffectivemethodologies
have been proposed, validated, and some of them have already been integrated into
commercial software for computer simulations. The main goal of this MICCAI
workshop on “Bio-Imaging and Visualization for Patient-Customized Simulations” is
toprovideaplatformforcommunicationamongspecialistsfromcomplementaryfields
such as signal and image processing, mechanics, computational vision, mathematics,
physics, informatics, computer graphics, bio-medical practice, psychology and indus-
try. Another important objective of this MICCAI workshop is to establish a viable
connection between software developers, specialist researchers, and applied end-users
from diverse fields related to signal processing, imaging, visualization, biomechanics
and simulation. This book contains the full papers presented at the MICCAI 2018
workshop on “Bio-Imaging and Visualization for Patient-Customized Simulations”
(MWBIVPCS2018),whichwasorganizedundertheauspicesofthe21stInternational
Conference on Medical Image Computing and Computer-Assisted Intervention 2018
that was held in Granada, Spain, during September 16–20, 2018. MWBIVPCS 2018
brought together researchers representing several fields, such as biomechanics, engi-
neering, medicine, mathematics, physics, and statistics. The works included in this
book present and discuss new trends in those fields, using several methods and tech-
niques, including convolutional neural networks, similarity metrics, atlas, level-set,
deformable models,GPGPUprogramming, sparse annotation, and sensorscalibration,
in order to address more efficiently different and timely applications involving signal
and image acquisition, image processing and analysis, image visualization, image
segmentation, image reconstruction, image fusion, computer simulation, image based
modelling, ray tracing, virtual reality, image-based diagnosis, surgery planning and
simulation,andtherapyplanning. Theeditors wishtothank alltheMWBIVPCS2018
authors and members of the Program Committee for sharing their expertise, and also
the MICCAI Society for having hosted and supported the workshop within MICCAI
2018.
September 2018 João Manuel R. S. Tavares
Shuo Li
CuRIOUS 2018 Preface
Radicalbraintumorresectioncaneffectively improvethepatient’ssurvival.However,
resectionqualityandsafetycanoftenbeheavilyaffectedbyintra-operativebraintissue
shift due to factors such as gravity, drug administration, intracranial pressure change,
andtissueremoval.Suchtissueshiftcandisplacethesurgicaltargetandvitalstructures
(e.g.,bloodvessels)showninpre-operativeimageswhilethesedisplacementsmaynot
be directly visible in the surgeon’s field of view. Intra-operative ultrasound (iUS) is a
robust and relatively inexpensive technique to track intra-operative tissue shift. To
update pre-surgicalplans withthis information,accurate androbust image registration
algorithms are needed in order to relate pre-surgical magnetic resonance imaging
(MRI) to iUS images. Despite the great progress so far, medical image registration
techniquesarestillnotinroutineclinicaluseinneurosurgerytodirectlybenefitpatients
with brain tumors. The MICCAI Challenge 2018 for Correction of Brain Shift with
Intra-Operative Ultrasound (CuRIOUS) offered a snapshot of the state-of-the-art pro-
gress in the field through extended discussions, and provided researchers with an
opportunity to characterize their image registration methods on a newly released
standardized dataset of iUS-guided brain tumor resection.
September 2018 Ingerid Reinertsen
Hassan Rivaz
Yiming Xiao
Matthieu Chabanas