Conference on ModernChallenges in Imaging

In the Footsteps of Allan MacLeod CormackOn the Fortieth Anniversary of his Nobel Prize

August 5-9, 2019, Tufts University, Medford, Massachusetts

More Information http://go.tufts.edu/Cormack2019

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MS1. Applied Mathematics in TomographyTodd Quinto

MS2. Dynamic TomographyBernadette Hahn, Alexander Katsevich

MS3. Generalized Radon Transforms andApplications in ImagingGaik Ambartsoumian, Venky Krishnan

MS4. Integral Geometry in TomographyFulton Gonzalez

MS5. Mathematics and Machine LearningGe Wang, Todd Quinto

MS6. Recent Advances in Algorithms and Softwarefor Tomographic ReconstructionJulianne Chung, Jim Nagy

MS7. RegularizationRonny Ramlau, Otmar Scherzer

MS8. Security ApplicationsEric Miller, Clem Karl

MS9. Spectral ImagingGael Rigaud, Fatma Terzioglu

MS10. Tomographic Image Reconstruction inMedical ImagingXiaochuan Pan, Emil Sidky

B01 Braker 01

BH Breed Hall, 51 Winthrop St. – Conference dinner

CR Crane Room – Coffee breaks M-Th mornings

SA SEC Atrium – Coffee breaks in the afternoons and Friday

R253 Robinson 253

112 Anderson 112-Nelson Auditorium

206 Anderson 206

210 Anderson 210

211 Anderson 211

Anderson, Robinson, and SEC are partsof the same building

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Monday, August 5

Plenaries

Rooms: B01, R253(afternoon)

9:00Frank NattererSonic reflection imaging in the time domain

9:40Peter KuchmentMathematics arising from some recent imagingchallenges

10:50John SchotlandSuperresolution and inverse problems with inter-nal sources

11:30Gunther UhlmannGeneralized Radon Transforms and Applications

13:40Carl CrawfordAchieving and Relaxing The Assumptions Posedby Cormack

MS 4 : Integral Geometry in Tomography

Room: 210

14:30Mark AgranovskyOn single and paired shifted Funk transform

15:00Arpad KurusaIdentifying X-ray transforms: the boundary-distance rigidity of projective metrics

MS 7 : Regularization

Room: 206

14:30Peter MaassRegularization properties of neural networks forinverse problems

15:00Otmar ScherzerMulti-Modal OCT and PAT

MS 10 : Tomo. Im. Rec. in Medical Imaging

Room: 112

14:30Scott D. MetzlerFuture Challenges for SPECT Imaging

15:00Xiaochuan PanVerification studies in inverse problems

MS 1 : Applied Mathematics in Tomography

Room: 112

16:00Venky KrishnanRange characterization of momentum ray trans-forms in Euclidean space

16:30Anuj AbhishekSupport theorem for transverse ray transform oftensor fields

17:00Jurgen FrikelCharacterizations of singular artifacts in limiteddata CT

17:30Yang YangFluorescence Ultrasound Modulated Optical To-mography in the Diffusive Regime

MS 7 : Regularization

Room: 206

16:00James NagyRegularization via Krylov Subspace Methods

16:30Denise SchmutzThree-dimensional Motion Reconstruction fromParallel-Beam Projection Data

17:00Lothar ReichelLinearized Krylov subspace Bregman iterationwith nonnegativity constraint

17:30Daniel GerthTowards the numerical quantification of sourceconditions

MS 9 : Spectral Imaging

Room: 210

16:00Markus HaltmeierDeep Learning in Image Reconstruction

16:30Voichita MaximChallenges in Compton camera imaging formedical applications

17:00Xiaochuan PanMulti-Spectral Computed Tomography withNon-Standard Configurations

17:30Alexander MeaneyStructural Priors in Multi-Energy CT Recon-struction

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Tuesday, August 6

Plenaries

Rooms: B01, R253(afternoon)

9:00Eric de SturlerEfficient parametric model reduction for tomo-graphic reconstruction

9:40Bernadette HahnDynamic Tomography: Modelling, Analysis andAlgorithms

10:50Misha KilmerImage Reconstruction from Limited Data

11:30 Lightning talks

13:40Jennifer MuellerElectrical impedance tomography: Modern ad-vances and challenges

MS 3 : Gen. RT and Applications in Imaging

Room: 210

14:30Francois MonardX-ray transform and tensor tomography in fan-beam coordinates

15:00Manmohan VashisthA uniqueness result for a light ray transform oftwo tensor fields

MS 7 : Regularization

Room: 211

14:30Ronny RamlauSingular value decomposition for atmospherictomography

15:00Tatiana A. BubbaLearning the Invisible: Limited Angle Tomogra-phy, Shearlets, and Deep Learning

MS 10 : Tomo. Im. Rec. in Medical Imaging

Room: 206

14:30Mark A. AnastasioDeep learning-enabled task-based image qualityassessment in medical imaging

15:00Georges El FakhriPET/MR: from Quantitative Reconstruction toMolecular Imaging

MS 2 : Dynamic Tomography

Room: 211

16:00Guang-Hong ChenAn Enhanced SMART-RECON Algorithm forTime-Resolved Cone-beam CT Imaging

16:30Salla-Maaria Latva-AijoModified Space Time Level Set Method in Dy-namic Tomography

17:00Jiahua JiangHybrid Projection Methods with Recycling forLarge Inverse Problems

17:30Marta M. BetckeDynamic tomography of foot & ankle using op-tical flow

MS 4 : Integral Geometry in Tomography

Room: 210

16:00Eric GrinbergIntegral Geometry over Finite Fields—-cataloging inadmissibility

16:30Jan BomanRadon transforms supported in hypersurfaces

17:00Fulton GonzalezSurjectivity of Convolution Operators

17:30Tomoyuki KakehiMean value Operators on Noncompact Symmet-ric Spaces

MS 6 : Recent Advances in Algo. and Software

Room: 206

16:00Ioannis SechopoulosBeyond anatomic imaging: More, not less, time

16:30Emil SidkyAn optimization framework for one-step spectralCT image reconstruction and current challenges

17:00William LionheartHistogram tomography

17:30Silvia GazzolaFlexible Krylov Methods for `p Regularization

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Wednesday, August 7

Plenaries

Room: B01

9:00Jeff FesslerCT image reconstruction using adaptive signalmodels

9:40Linh NguyenTime reversal methods for thermoacoustic to-mography

10:50Alexander KatsevichOn reconstruction of functions with discontinu-ities from discrete Radon transform data

11:30Simon ArridgeTomography with Sound and Light

Industrial Panel (13:40-14:20) Room: R253

MS 3 : Gen. RT and Applications in Imaging

Room: 210

14:30Raluca FaleaGeneralized Radon Transforms with cusp singu-larities

15:00Peter KuchmentDetecting presence of emission sources with lowSNR - ’Analysis’ vs deep learning

MS 5 : Mathematics and Machine Learning

Room: 112

14:30Gustav ZickertMachine learning for cryo-EM

15:00Xiaojing YeDeep Image Reconstruction Network

MS 6 : Recent Advances in Algo. and Software

Room: 206

14:30Chris JacobsenX-ray nanotomography: seeing subcellularstructure in 3D

15:00

Arvind SaibabaEfficient marginalization-based MCMC ap-proaches for Hierarchical Bayesian inverse prob-lems

MS 8 : Security Applications

Room: 211

14:30Jens GregorUnified Reconstruction Framework for Multi-Modality Neutron Imaging

15:00

Brian TraceyIterative sparse-view X-ray Tomography FusingAttenuation and Compton Scatter Data: Ap-proach, Simulation and Experimental Results

Tufts Talks

Room: R253

16:00

Linda M. AbriolaSubsurface Contaminant Source Zone Charac-terization and Uncertainty Quantification UsingDiscriminative Random Fields

16:40Sergio FantiniDiffuse optical imaging of biological tissue

17:20

George ReadAllan MacLeod Cormack: Scottish Ancestry,South African Ingenuity & American Opportu-nity

Thursday, August 8

Plenaries

Rooms: B01, R253(afternoon)

9:00Per Christian HansenConvergence and Non-Convergence of AlgebraicIterative Reconstruction Methods

9:40Charles EpsteinGeometry of the Phase Retrieval Problem

10:50Ge WangTomography with Deep Learning

11:30Andreas RiederSeismic imaging with the elliptic Radon trans-form

13:40Charles BoumanMachine Learning in Imaging and Reconstruc-tion: Where is it Going?

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MS 1 : Applied Mathematics in Tomography

Room: 206

14:30Anne WaldA fast iterative method for inverse problems withinexact forward operator

15:00

Ngoc DoTheoretically exact solution of the inverse sourceproblem for the wave equation with spatially andtemporally reduced data

MS 5 : Mathematics and Machine Learning

Room: 112

14:30Jong Chul YeUnderstanding Geometry of Deep Neural Net-works for CT Reconstruction

15:00Hengyong YuDictionary Learning based Image-domain Mate-rial Decomposition for spectral CT

MS 8 : Security Applications

Room: 211

14:30James WebberMicrolocal analysis of a Compton tomography

problem

MS 1 : Applied Mathematics in Tomography

Room: 206

16:00Ming JiangFPGA Acceleration for 3D Low-Dose CT

16:30Judit Chamorro-ServentMicrowave Inverse Scattering for ColorectalCancer Detection

17:00Gaik AmbartsoumianLines, broken lines and stars in tomography

MS 5 : Mathematics and Machine Learning

Room: 112

16:00Linh V. NguyenNETT regularization for inverse problems

16:30Klaus MuellerMedical CT Image Generation with Style

17:00Quanzheng LiDeep Learning in Iterative Image ReconstructionFramework

17:30Mikhail ZaslavskyDistance preserving model order reduction ofgraph-laplacians for cluster imaging

MS 3 : Gen. RT and Applications in Imaging

Room: 210

16:00Plamen StefanovSemiclassical Sampling and Discretization ofLinear Inverse Problems

16:30Fatma TerziogluCompton Camera Imaging and the Cone Trans-form

17:00Mohammad Latifi JebelliStar Radon Transform

17:30Yiran WangQuantitative analysis of metal artifacts in X-raytomography

Friday, August 9

Plenaries

Room: R253

9:00Rosemary RenautImproving LSQR with oversampling applicationfor inverse problems

9:40Leonid KunyanskyMagnetoacoustic and magnetoelectric hybridimaging modalities

10:50Gael RigaudA reconstruction strategy in 3D Compton scat-tering imaging

11:30Todd QuintoAllan Cormack and Limited Data Tomography

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Special thanks to our generous Sponsors

Tufts University (Provost, College of Arts and Sciences,

School of Engineering, Departments of Electrical and

Computer Engineering, Mathematics, Physics)

Mobius Imaging

IOP Publishing

US National Science Foundation

US NIH/National Institute of Biolomedical Imagingand Bioengineering

Gordon Foundation

Jay A. Stein, Chief Technology Officer, Hologic, Inc.,Marlboro, Massachusetts

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