COMPUTATIONAL IMAGING. Berthold K.P. Horn

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Transcription:

COMPUTATIONAL IMAGING Berthold K.P. Horn

What is Computational Imaging? Computation inherent in image formation

What is Computational Imaging? Computation inherent in image formation (1) Computing is getting faster and cheaper precision physical apparatus is not

What is Computational Imaging? Computation inherent in image formation (1) Computing is getting faster and cheaper precision physical apparatus is not (2) Can t refract or reflect some radiation

What is Computational Imaging? Computation inherent in image formation (1) Computing is getting faster and cheaper precision physical apparatus is not (2) Can t refract or reflect some radiation (3) Detection is at times inherently coded

Computational Imaging System

Examples of Computational Imaging: (1) Synthetic Aperture Imaging (2) Coded Aperture Imaging (3) Diaphanography Diffuse Tomography (4) Exact Cone Beam Reconstruction

(1) SYNTHETIC APERTURE IMAGING Traditional approach: Coupling of resolution, DOF, FOV to NA Precision imaging flat illumination with: Michael Mermelstein, Jekwan Ryu, Stanley Hong, and Dennis Freeman

Objective Lens Parameter Coupling

Synthetic Aperture Imaging Traditional approach: Coupling of resolution, DOF, FOV to NA Precision imaging flat illumination New approach: Precision illumination Simple imaging Multiple images Textured illumination

Synthetic Aperture Imaging Precision illumination Simple imaging Multiple images Textured illumination Image detail in response to textures Non-uniform samples in FT space

SAM M6

Creating Interference Pattern

Creating Interference Pattern

Fourier Transform of Texture Pattern

Interference Pattern Texture

Synthetic Aperture Microscopy Interference of many Coherent Beams Amplitude and Phase Control of Beams

Amplitude and Phase Control

Amplitude and Phase Control

Synthetic Aperture Microscopy Interference of many Coherent Beams Amplitude and Phase Control of Beams On the fly calibration Non-uniform inverse FT Least Squares

Wavenumber Calibration using FT

Hough Transform Calibration

Least Squares Match in FT

Fourier Transform of Texture Pattern

Uneven Fourier Sampling

Polystyrene Micro Beads (1µm)

Resolution Enhancement Reflective Optics Illumination Vaccum UV Short Wavelength

Reflective Optics M6

Resolution Enhancement Reflective Optics Illumination Vaccum UV Short Wavelength Fluorescence Mode Resolution Determined by Illumination

Synthetic Aperture Lithography Create pattern controlled interference Example: Two Dots Example: Straight Line Destructive interference safe zone Example: Bessel Ring.

(2) CODED APERTURE IMAGING Can t refract or reflect gamma rays Pinhole tradeoff resolution and SNR with: Richard Lanza, Roberto Accorsi, Klaus Ziock, and Lorenzo Fabris.

Coded Aperture Imaging Can t refract or reflect gamma rays Pinhole tradeoff resolution and SNR Multiple pinholes Complex masks can cast shadows

Masks Fresnel Camera

Coded Aperture Principle

Decoding Method Rationale

Coded Aperture Imaging Can t refract or reflect gamma rays Pinhole tradeoff resolution and SNR Complex masks can cast shadows Decoding by Correlation Special Masks with Flat Power Spectrum

Mask Design Inverse Systems

Maximizing SNR n n min w 2 i subject to w i = 1 i=1 i=1 yields w i = 1 n

Masks Legri URA

Masks XRT Coarse

Mask Design 1D Definition: q is a quadratic residue (mod p) if n s.t. n 2 q(mod p) Legendre symbol ( a ) p = 1 { 1 if a is quadratic residue otherwise Correlation with zero shift (p 1)/2 Correlation with non-zero shift (p 1)/4

Mask Design Auto Correlation a(i) = (p 1) 4 (1 + δ(i)) Power Spectrum A(j) = (p 1) (δ(j) + 1) 4

Masks Hexagonal

Coded Aperture Extensions Artifacts due to Finite Distance Mask / Countermask Combination

Coded Aperture Backprojection Reconstruction Animation

Coded Aperture Extensions Artifacts due to Finite Distance Mask / Countermask Combination Multiple Detector Array Positions Synthetic Aperture radiography

Coded Aperture Applications Detection of Fissile Material Large Area Detector Myth Signal and Background Amplified

Spatially Varying Background

Large Area Alone Doesn t Help

Imaging and Large Area Do!

Coded Aperture Example Imaging 1/R instead of 1/R 2

Coded Aperture Detector Array

Computational Imaging System

Coded Aperture Example Three weak, distant radioactive sources Reconstruction Animation

Coded Aperture Applications Detection of Fissile Material Imaging 1/R instead of 1/R 2 Increasing Gamma Camera Resolution Replacing Rats with Mice.

(3) DIAPHANOGRAPHY (Diffuse Optical Tomography) Highly Scattering Low Absorption Many Sources Many Detectors with: Xiaochun Yang, Richard Lanza, Charles Sodini, and John Wyatt.

Diaphanography Randomization of Direction Scalar Flux Density

Diaphanography Approximation: Diffusion Equation v(x,y) + ρ(x,y)c(x,y) = 0 v(x,y) flux density ρ(x, y) scattering coefficient c(x,y) absorption coefficient Forward: given c(x,y) find v(x,y)

Diaphanography Approximation: Diffusion Equation Leaky Resistive Sheet Analog (2D)

Diaphanography Invert Diffusion Equation Regions of Influence.

(4) EXACT CONE BEAM ALGORITHM Faster Scanning Fewer Motion Artifacts Lower Exposure Uniform Resolution with: Xiaochun Yang

Exact Cone Beam Reconstruction Faster Scanning Fewer Motion Artifacts Lower Exposure Uniform Resolution Parallel Beam Fan Beam Planar Fan Cone Beam

Parallel Beam to Fan Beam Coordinate Transform in 2D Radon Space

Cone Beam Geometry 3D

Radon s Formula In 2D: ~ derivatives of line integrals In 3D: derivatives of plane integrals Can t get plane integrals from projections ( ) f (r, θ)dr dθ 1 f (x, y) dx dy r

Radon s Formula in 3D f(x) = 1 8π 2 2 R f (l, β) S 2 l 2 l=x β dβ where R f (l, β) = f(x) δ(x β l)dv

Grangeat s Trick z f (x, y, z) dx dy = f (r, φ, θ) dr dφ θ

Exact Cone Beam Reconstruction Data Sufficiency Condition Good Orbit for Radiation Source

Radon Space 2D

Circular Orbit is Inadequate (3D)

Data Insufficiency

Good Source Orbit

Exact Cone Beam Reconstruction Data Sufficiency Condition Good Orbit for Radiation Source Practical Issue: Spiral CT Scanners Practical Issue: Long Body Problem.

COMPUTATIONAL IMAGING (1) Synthetic Aperture Imaging (2) Coded Aperture Imaging (3) Diaphanography Diffuse Tomography (4) Exact Cone Beam Reconstruction

COMPUTATIONAL IMAGING