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Center for Subsurface Sensing & Imaging Systems Physics-Based Signal Processing and Image Understanding Bahaa Saleh Carey Rappaport David Castañón Badri Roysam Miguel Velez David Kaeli

Center for Subsurface Sensing & Imaging Systems

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Center for Subsurface Sensing & Imaging Systems. Physics-Based Signal Processing and Image Understanding Bahaa Saleh Carey Rappaport David Castañón Badri Roysam Miguel Velez David Kaeli. Biological-Medical Applications. Environmental-Civil Applications. Bio-Med. Enviro-Civil. S2. - PowerPoint PPT Presentation

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Page 1: Center for Subsurface Sensing  &  Imaging Systems

Center forSubsurface Sensing & Imaging

Systems

Center forSubsurface Sensing & Imaging

Systems

Physics-Based Signal Processing

and Image

Understanding

Bahaa SalehCarey RappaportDavid CastañónBadri RoysamMiguel VelezDavid Kaeli

Physics-Based Signal Processing

and Image

Understanding

Bahaa SalehCarey RappaportDavid CastañónBadri RoysamMiguel VelezDavid Kaeli

Page 2: Center for Subsurface Sensing  &  Imaging Systems

R2

R2 in CenSSISR2 in CenSSIS

FundamentalScienceFundamentalScienceL1L1

L2L2

L3L3

R3R1

ValidatingTestBEDsValidatingTestBEDs

S1 S4 S5S3S2

Bio-Med Enviro-Civil

Environmental-CivilApplications

Biological-Medical Applications

S2 S4

S5Vulnerableplaque

BreastImaging

FunctionalImaging

Radiationtherapy

Coral Reef Monitoring

Retinalsurgery

MineDetection

Pollutionmonitoring

CellularImaging

S1

General information extraction approaches

Commonmathematical

structures

Algorithmrequirements

Applicationinstantiations

S3

Page 3: Center for Subsurface Sensing  &  Imaging Systems

R2A. Multiview TomographyR2A. Multiview Tomography

Focus of research: Image formation from tomographic measurements Modalities of interest in CenSSIS:

EIT, ERT, DOT, GPR, diffraction tomography, CT, ultrasound, elastography

Diverse applications approached through a common view: statistical physics-based inverse scattering Inverse problem goals + physics model +

solution representation + robust decision-directed algorithm

Objective: Improved resolution, signal-noise in subsurface imaging

object

Medium

1 2 .. I 1 2 .. J

Clutter

Y = T (, S, ) + w

Page 4: Center for Subsurface Sensing  &  Imaging Systems

Continued refinement of techniques for transition to System Applications EIT, DOT for breast imaging instruments in S3 Multi-detector DCT for detection of coronary stenosis

Expansion of algorithm approaches Nonlinear inversion approaches Boundary element techniques for EIT 4-D inverse problems (DOT, PET, others) Multispectral DOT with spectral priors Multisensor, multi-modal inversion Time reversal high-resolution imaging

Inversion techniques for new modalities Quantum OCT, Nano-imaging

Continued refinement of techniques for transition to System Applications EIT, DOT for breast imaging instruments in S3 Multi-detector DCT for detection of coronary stenosis

Expansion of algorithm approaches Nonlinear inversion approaches Boundary element techniques for EIT 4-D inverse problems (DOT, PET, others) Multispectral DOT with spectral priors Multisensor, multi-modal inversion Time reversal high-resolution imaging

Inversion techniques for new modalities Quantum OCT, Nano-imaging

R2A Highlights This Past YearR2A Highlights This Past Year

Page 5: Center for Subsurface Sensing  &  Imaging Systems

Brief Overview of R2A PostersBrief Overview of R2A Posters

Motivating Application: Breast Cancer

Student Posters R2A p1 S. Laxminarayan et al, “Controlling

Dimensionality in a Systems Approach to Dynamic Modeling”

R2A p2 E. Vidolova et al, “Hemodynamically Constrained Dynamic Diffuse Optical Tomography Under Mammographic Compression ”

R2A p5 G. Boverman et al, “Modeling and Electrode Contact Compensation for EIT in a Mammography Geometry”

R2A p6 C. Tamma, N. Liu et al, “ACT4: A High-Precision, Multi-frequency Electrical Impedance Tomograph”

R2A p7 T. Kao et al, “Regional Admittivity of Spectra with Tomosynthesis Image for Breast Cancer Detection”

R2A p8 R. Kulkarni et al, “A Layered Model for Breasts in Electrical Impedance Tomography”

Motivating Application: Breast Cancer

Student Posters R2A p1 S. Laxminarayan et al, “Controlling

Dimensionality in a Systems Approach to Dynamic Modeling”

R2A p2 E. Vidolova et al, “Hemodynamically Constrained Dynamic Diffuse Optical Tomography Under Mammographic Compression ”

R2A p5 G. Boverman et al, “Modeling and Electrode Contact Compensation for EIT in a Mammography Geometry”

R2A p6 C. Tamma, N. Liu et al, “ACT4: A High-Precision, Multi-frequency Electrical Impedance Tomograph”

R2A p7 T. Kao et al, “Regional Admittivity of Spectra with Tomosynthesis Image for Breast Cancer Detection”

R2A p8 R. Kulkarni et al, “A Layered Model for Breasts in Electrical Impedance Tomography”

Page 6: Center for Subsurface Sensing  &  Imaging Systems

R2A Posters Overview - 2R2A Posters Overview - 2

Other Multi-View Tomography Posters

R2A p3 F. Gruber et al, “New Aspects in Electromagnetic Information Theory”

R2A p4 Z. Liang et al, “Image Enhancement in Detection of Coronary Stenosis by MDCT”

R2A p9 B. Alacam et al, “Reconstruction of Spatially Resolved Pharmacokinetic Rate Images of Optical Fluorophores from NIR Measurements ”

R2A p10 M. Guven et al, “Flourescence Optical Tomography with a Priori Information ”

Other Multi-View Tomography Posters

R2A p3 F. Gruber et al, “New Aspects in Electromagnetic Information Theory”

R2A p4 Z. Liang et al, “Image Enhancement in Detection of Coronary Stenosis by MDCT”

R2A p9 B. Alacam et al, “Reconstruction of Spatially Resolved Pharmacokinetic Rate Images of Optical Fluorophores from NIR Measurements ”

R2A p10 M. Guven et al, “Flourescence Optical Tomography with a Priori Information ”

Conventional Imageof calcium and blood vessel

Enhanced MDCT vessel

Page 7: Center for Subsurface Sensing  &  Imaging Systems

Association with Systems Areas Association with Systems Areas

S1

S3

S5

S4

S2

Cell Counting, Quadrature Tomography

IMRT, Optical Biopsy, 4-D Inverse Problems

Multi-view Tomography for EIT, DOT, Elastography

Change Detection, Mulitspectral Classification

Crosswell tomography, Rough Surface Imaging, Time Reversal Imaging