Visualization in Medicine and Life Sciences III: Towards Making an Impact

350 Pages·2016·13.143 MB·English

by  Lars Linsen, Bernd Hamann, Hans-Christian Hege (eds.)

Mathematics and Visualization
Lars Linsen · Bernd Hamann
Hans-Christian Hege Editors
Visualization
in Medicine and
Life Sciences III
Towards Making an Impact
Mathematics and Visualization
Serieseditors
Hans-ChristianHege
DavidHoffman
ChristopherR.Johnson
KonradPolthier
MartinRumpf
Moreinformationaboutthisseriesathttp://www.springer.com/series/4562
Lars Linsen
Bernd Hamann
Hans-Christian Hege
Editors
Visualization in Medicine
and Life Sciences III
Towards Making an Impact
With161Figures, 132in color
123
Editors
LarsLinsen BerndHamann
DepartmentofComputerScienceand DepartmentofComputerScience
ElectricalEngineering UniversityofCalifornia
JacobsUniversity Davis,California,USA
Bremen,Germany
Hans-ChristianHege
VisualizationandDataAnalysis
ZuseInstituteBerlin(ZIB)
Berlin,Germany
ISSN1612-3786 ISSN2197-666X (electronic)
MathematicsandVisualization
ISBN978-3-319-24521-8 ISBN978-3-319-24523-2 (eBook)
DOI10.1007/978-3-319-24523-2
LibraryofCongressControlNumber:2007935102
MathematicsSubjectClassification(2010):68-XX,68-06,68Uxx,68U99
©SpringerInternationalPublishingSwitzerland2016
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Preface
Medicine has for a long time been a driving force for the development of
visualizationandvisualanalysismethods.Visualizationhasbecomeanintegralpart
of severalclinicaltreatmentandplanningprocesses.Still, much moreneedsto be
done.Manyexistingstate-of-theartvisualizationapproacheshavenotyetbecome
part of daily clinical routine. It should be a major interest of the visualization
communitytostrengthentheroleandimpactofvisualizationcomponentsinmedical
applications and, more generally, in health services. The topics are not limited
to volume visualization, the traditional field of medical visualization, but include
visual analysis of highly complex data and of large databases. With this broader
focus,manychallengingvisualizationproblemsremaintobesolved.
Significant advancesin data acquisition and new experimentaltechniqueshave
boosted research in the life sciences in recent decades. The huge amount of data
collected made it necessary to include sophisticated computational tools for data
analysis,andasteadystreamofnewtypesofdatarequirescontinuousdevelopment
of analysis tools. An important component to data analysis is provided by visual
means, i.e., by visual encoding for intuitive and effective display of the acquired
data and by interactionmechanismsfor user-centeredexploration.This lies in the
coreofvisualizationresearch.
ThethirdinternationalworkshoponVisualizationinMedicineandLifeSciences
took place in 2013 (VMLS 2013).After two successful events in 2006 and 2009,
VMLS 2013 was, for the first time, colocated with the EuroVis conference. The
goal of the workshop was to discuss novel visualization techniques driven by
the needs in medicine and life sciences as well as new application areas and
challenges for visualization within these fields. VMLS 2013 generated ideas and
concepts for visual analysis of data from scientific studies of living organs or to
thedeliveryofhealthcareservices.Targetscientificdomainsincludetheentirefield
of biology at all scales—from genes and proteins to organs and populations—as
well as interdisciplinary research based on technological advances in other fields
suchasbioinformatics,biomedicine,biochemistry,andbiophysics.Moreover,they
comprise the field of medicine and the application of science and technology to
healthcareproblems.
v
vi Preface
Internationally leading experts came together at VMLS 2013 in Leipzig, Ger-
many. This book reflects the outcome of the workshop. It contains research
and survey articles, which were solicited and peer-reviewed after the conference.
The research topics covered by the papers in this book address the following
visualizationthemes:
• Segmentationanduncertainty
• Visualizationof3Dmedicalimages
• Visualizationfordiffusion-weightedimaging
• Cohortstudiesandtime-varyingphenomena
• Visualizationinlifesciences
Theworkshopwassupported,inpart,bytheDeutscheForschungsgemeinschaft
(DFG)andtheEurographicsAssociation.Wewouldliketothanktheorganizersof
EuroVis2013fortheircooperation.
Bremen,Germany LarsLinsen
Davis,CA,USA BerndHamann
Berlin,Germany Hans-ChristianHege
January2016
Contents
PartI SegmentationandUncertainty
LungSegmentationofMRImages:AReview................................ 3
TatyanaIvanovska,KatrinHegenscheid,RenéLaqua,SvenGläser,
RalfEwert,andHenryVölzke
Fast Uncertainty-GuidedFuzzy C-Means Segmentation
ofMedicalImages................................................................ 25
AhmedAl-Taie,HorstK.Hahn,andLarsLinsen
muView:AVisualAnalysisSystemforExploringUncertainty
inMyocardialIschemiaSimulations........................................... 49
PaulRosen,BrettBurton,KristinPotter,andChrisR.Johnson
PartII Visualizationof3DMedicalImages
CombinedVolumeRegistrationandVisualization........................... 73
Arlie G. Capps, Robert J. Zawadzki, John S. Werner,
andBerndHamann
Feature Lines for Illustrating Medical Surface Models:
MathematicalBackgroundandSurvey........................................ 93
KaiLawonnandBernhardPreim
Remote Visualization Techniques for Medical Imaging
ResearchandImage-GuidedProcedures...................................... 133
Peter Kohlmann, Tobias Boskamp, Alexander Köhn,
Christian Rieder, AndreaSchenk,FlorianLink,Uwe Siems,
Marcus Barann, Jan-Martin Kuhnigk, Daniel Demedts,
andHorstK.Hahn
vii
viii Contents
PartIII VisualizationforDiffusion-WeightedImaging
VisualizationofMRIDiffusionDatabyaMulti-KernelLIC
ApproachwithAnisotropicGlyphSamples................................... 157
Mark Höller, Uwe Klose, Samuel Gröschel, Kay-M. Otto,
andHans-H.Ehricke
ExploringCrossingFibersoftheBrain’sWhiteMatterUsing
DirectionalRegionsofInterest ................................................. 179
Andreas Graumann, Mirco Richter, Christopher Nimsky,
andDoritMerhof
Multi-ModalVisualizationofProbabilisticTractography................... 195
MathiasGoldauandMarioHlawitschka
PartIV CohortStudiesandTime-VaryingPhenomena
VisualAnalyticsofImage-CentricCohortStudiesinEpidemiology....... 221
BernhardPreim,PaulKlemm,HelwigHauser,KatrinHegenscheid,
SteffenOeltze,KlausToennies,andHenryVölzke
Three Dimensional Visualisationof Microscope Imaging
toImproveUnderstandingofHumanEmbryoDevelopment............... 249
Anna Leida Mölder, Sarah Drury, Nicholas Costen,
GeraldineHartshorne,andSilvesterCzanner
QuantitativeAnalysisofKneeMovementPatternsThrough
ComparativeVisualization...................................................... 265
Khoa Tan Nguyen, Håkan Gauffin, Anders Ynnerman,
andTimoRopinski
PartV VisualizationinLifeSciences
InteractiveSimilarityAnalysisandErrorDetectioninLarge
TreeCollections .................................................................. 287
Jens Fangerau, Burkhard Höckendorf, Bastian Rieck,
ChristianHeine,JoachimWittbrodt,andHeikeLeitte
Efficient Reordering of Parallel Coordinates and Its
ApplicationtoMultidimensionalBiologicalDataVisualization............ 309
TranVanLongandLarsLinsen
ExtractionofRobustVoidsandPocketsinProteins ......................... 329
Raghavendra Sridharamurthy, Talha Bin Masood,
Harish Doraiswamy,SiddharthPatel, RaghavanVaradarajan,
andVijayNatarajan
AuthorIndex...................................................................... 351
Part I
Segmentation and Uncertainty