Performance evaluation of typical approximation algorithms for nonconvex ℓp-minimization in diffuse optical tomography.

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Journal of The Optical Society of America A-optics Image Science and Vision

• Publication date

  2014-04-01

• Fields of study

  Medicine, Physics, Computer Science, Engineering

• Identifiers
  DOI 10.1364/JOSAA.31.000852PMID 24695149
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction

  2014cited by this paper
• Nonquadratic penalization improves near-infrared diffuse optical tomography.

  2013cited by this paper
• A comparison of typical ℓp minimization algorithms

  2013cited by this paper
• Constrained reconstructions for 4D intervention guidance

  2013cited by this paper
• Introduction to Sparsity in Signal Processing

  2012influential reference
• Sparsity enhanced spatial resolution and depth localization in diffuse optical tomography

  2012cited by this paper
• Compressed-sensing photoacoustic computed tomography in vivo with partially known support

  2012cited by this paper
• On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study

  2012influential reference
• Prior image-constrained ℓ(1)-norm-based reconstruction method for effective usage of structural information in diffuse optical tomography.

  2012cited by this paper
• Effective contrast recovery in rapid dynamic near-infrared diffuse optical tomography using ℓ(1)-norm-based linear image reconstruction method.

  2012cited by this paper
• Sparsity-Driven Reconstruction for FDOT With Anatomical Priors

  2011cited by this paper
• Improvement of image quality of time-domain diffuse optical tomography with lp sparsity regularization

  2011cited by this paper
• An adaptive regularization parameter choice strategy for multispectral bioluminescence tomography.

  2011influential reference
• An Unconstrained $\ell_q$ Minimization with $0q\leq1$ for Sparse Solution of Underdetermined Linear Systems

  2011cited by this paper
• Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity

  2011cited by this paper
• Compressed sensing in diffuse optical tomography.

  2010cited by this paper
• Optical tomography: forward and inverse problems

  2009cited by this paper
• New model function methods for determining regularization parameters in linear inverse problems

  2009cited by this paper
• Fast frame-based image deconvolution using variable splitting and constrained optimization

  2009influential reference
• Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction.

  2009cited by this paper
• Modified-CS: Modifying compressive sensing for problems with partially known support

  2009cited by this paper
• An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors

  2009influential reference
• Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

  2007cited by this paper
• Structural information within regularization matrices improves near infrared diffuse optical tomography.

  2007cited by this paper
• Enhancing Sparsity by Reweighted ℓ1 Minimization

  2007cited by this paper
• Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm.

  2007cited by this paper
• Exact Reconstruction of Sparse Signals via Nonconvex Minimization

  2007influential reference
• Review of tissue simulating phantoms for optical spectroscopy, imaging and dosimetry.

  2006cited by this paper
• Signal Recovery by Proximal Forward-Backward Splitting

  2005cited by this paper
• INSTITUTE OF PHYSICS PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY

  2003cited by this paper
• Interpreting hemoglobin and water concentration, oxygen saturation, and scattering measured in vivo by near-infrared breast tomography

  2003cited by this paper
• Special issue on Biophotonics

  2003cited by this paper
• A parallel-detection frequency-domain near-infrared tomography system for hemoglobin imaging of the

  2001cited by this paper
• Imaging the body with diffuse optical tomography

  2001cited by this paper
• Gradient-based iterative image reconstruction scheme for time-resolved optical tomography

  1999cited by this paper
• Photon-measurement density functions. Part 2: Finite-element-method calculations.

  1995cited by this paper

• Advancing Image Reconstruction in Diffuse Optical Tomography: An Overview of Regularization Methods

  2025cites this paper
• Advancements in Numerical Methods for Forward and Inverse Problems in Functional near Infra-Red Spectroscopy: A Review

  2023cites this paper
• Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography

  2022cites this paper
• A Model-Based Iterative Learning Approach for Diffuse Optical Tomography

  2021cites this paper
• Investigation of effect of modulation frequency on high-density diffuse optical tomography image quality

  2021cites this paper
• Multi Simulation Platform for Time Domain Diffuse Optical Tomography: An Application to a Compact Hand-Held Reflectance Probe

  2019cites this paper
• University of Birmingham L1-norm Based Nonlinear Reconstruction Improves Quantitative Accuracy of Spectral Diffuse Optical Tomography

  2018cites this paper
• L1-norm based nonlinear reconstruction improves quantitative accuracy of spectral diffuse optical tomography

  2018cites this paper
• University of Birmingham L1-norm Based Nonlinear Reconstruction Improves Quantitative Accuracy of Spectral Diffuse Optical Tomography

  2018cites this paper
• Optical tomographic imaging for breast cancer detection

  2017cites this paper
• Regularization opportunities for the diffuse optical tomography problem

  2015cites this paper
• Contrast improvement of continuous wave diffuse optical tomography reconstruction by hybrid approach using least square and genetic algorithm

  2015cites this paper
• An adaptive support driven reweighted L1-regularization algorithm for fluorescence molecular tomography.

  2014cites this paper
• Robust block sparse discriminative classification framework.

  2014cites this paper