Ye et al., 1999 - Google Patents

Modified distorted Born iterative method with an approximate Fréchet derivative for optical diffusion tomography

Ye et al., 1999

View HTML
Document ID
7814380900177891202
Author
Ye J
Webb K
Millane R
Downar T
Publication year
Publication venue
JOSA A

External Links

Snippet

In frequency-domain optical diffusion imaging, the magnitude and the phase of modulated light propagated through a highly scattering medium are used to reconstruct an image of the scattering and absorption coefficients in the medium. Although current reconstruction …
Continue reading at opg.optica.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47Scattering, i.e. diffuse reflection
    • G01N21/4795Scattering, i.e. diffuse reflection spatially resolved investigating of object in scattering medium
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47Scattering, i.e. diffuse reflection
    • G01N21/49Scattering, i.e. diffuse reflection within a body or fluid
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation
    • G06T2211/40Computed tomography
    • G06T2211/424Iterative
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce

Similar Documents

Publication Publication Date Title
Ye et al. Modified distorted Born iterative method with an approximate Fréchet derivative for optical diffusion tomography
Ye et al. Optical diffusion tomography by iterative-coordinate-descent optimization in a Bayesian framework
Yao et al. Frequency-domain optical imaging of absorption and scattering distributions by a Born iterative method
Arridge et al. A gradient-based optimisation scheme for optical tomography
Gao et al. Multilevel bioluminescence tomography based on radiative transfer equation Part 1: l1 regularization
Jin et al. A reconstruction algorithm for electrical impedance tomography based on sparsity regularization
Markel et al. Inverse problem in optical diffusion tomography. IV. Nonlinear inversion formulas
Chang et al. Luminescence optical tomography of dense scattering media
Zhu et al. Iterative total least-squares image reconstruction algorithm for optical tomography by the conjugate gradient method
Pan Unified reconstruction theory for diffraction tomography, with consideration of noise control
Davidoiu et al. Non-linear iterative phase retrieval based on Frechet derivative
Marks A family of approximations spanning the Born and Rytov scattering series
Prakash et al. A LSQR‐type method provides a computationally efficient automated optimal choice of regularization parameter in diffuse optical tomography
Heino et al. Compensation for geometric mismodelling by anisotropies in optical tomography
Kilmer et al. Three-dimensional shape-based imaging of absorption perturbation for diffuse optical tomography
Grauer et al. Measurement-based meshing, basis selection, and prior assignment in chemical species tomography
Oh et al. Source–detector calibration in three-dimensional Bayesian optical diffusion tomography
Testorf et al. Sampling of time-and frequency-domain signals in Monte Carlo simulations of photon migration
Ripoll et al. Iterative boundary method for diffuse optical tomography
Kolehmainen et al. Recovery of piecewise constant coefficients in optical diffusion tomography
Roy et al. Active constrained truncated Newton method for simple-bound optical tomography
Qi et al. Application of the sequential quadratic programming algorithm for reconstructing the distribution of optical parameters based on the time-domain radiative transfer equation
Chen et al. Implementation of edge-preserving regularization for frequency-domain diffuse optical tomography
Roy et al. A numerical study of gradient-based nonlinear optimization methods for contrast enhanced optical tomography
Mozumder et al. Compensation of optode sensitivity and position errors in diffuse optical tomography using the approximation error approach