Compressive diffuse optical tomography: Noniterative exact reconstruction using joint sparsity

Keyphrases

• Exact Reconstruction 100%
• Joint Sparsity 100%
• Diffuse Optical Tomography 100%
• Compressed Sensing 66%
• Imaging Geometry 66%
• Imaging Problems 66%
• Optical Properties 33%
• Joint Sparse Recovery 33%
• Highly Scattering Medium 33%
• Light Propagation 33%
• Computationally Expensive 33%
• Existing Algorithms 33%
• 3D Imaging 33%
• Ill-conditioned Problem 33%
• Sensing Framework 33%
• Nonlinear Iteration 33%
• Low-cost Imaging 33%
• Generalized MUSIC 33%
• Theoretical Criterion 33%
• Sparsity Level 33%
• Unknown Sparsity 33%
• Highly Nonlinear 33%
• Exact Inversion 33%
• Super-resolution Reconstruction 33%
• Inversion Algorithm 33%
• Optical Background 33%
• Compressed Sensing Theory 33%
• Nature of Light 33%
• Sensing Signal 33%
• Imaging Modalities 33%
• Optical Homogeneity 33%
• Recovery Problem 33%
• Array Signal Processing 33%
• Tomography Problem 33%
• Sparse Object 33%
• Severely Ill 33%

Engineering

• Joints (Structural Components) 100%
• Sparsity 100%
• Compressive Sensing 100%
• High Resolution 50%
• Simulation Result 50%
• Array Signal Processing 50%
• Scattering Medium 50%
• Optimality 50%
• Imaging Modality 50%
• Compressed Sensing 50%
• Theoretical Criterion 50%
• Light Propagation 50%
• Recovery Problem 50%
• Diffusive 50%
• Measurement Increase 50%

Computer Science

• Joint Sparsity 100%
• Compressive Sensing 100%
• Compressed Sensing 50%
• Scattering Medium 50%
• Light Propagation 50%
• Sparsity 50%
• Imaging Modality 50%
• Exact Inversion 50%
• Array Signal Processing 50%
• Recovery Problem 50%
• Theoretical Criterion 50%
• 3D Imaging 50%