A novel sparsity reconstruction method from poisson data for 3D bioluminescence tomography

Mathematics

• Regularization 100%
• Greedy Algorithm 50%
• Synthetic Data 50%
• Poisson Distribution 50%
• Column Matrix 50%
• Nonlinearities 50%
• Numerical Experiment 50%
• Monte Carlo 50%
• Priori Information 50%
• Matrix Measurement 50%
• Dimensional Space 50%

Engineering

• Sparsity 100%
• Regularization 100%
• Nonlinearity 50%
• Numerical Experiment 50%
• Priori Information 50%
• Measurement Matrix 50%
• Dimensional Space 50%
• Greedy Algorithm 50%
• Finite Element Method 50%
• Compressive Sensing 50%

Keyphrases

• Bioluminescence Tomography 100%
• High Coherence 33%
• Bioluminescence Tomography Reconstruction 33%
• Sparsity Estimation 33%
• MAP Estimation 33%