A non-convex regularization combining intensity and second-order derivatives, optimized with graduated non-convexity and a matrix-free Fourier forward model, improves photoacoustic image reconstruction from reduced transducer data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Photo-acoustic tomographic image reconstruction from reduced data using physically inspired regularization
A non-convex regularization combining intensity and second-order derivatives, optimized with graduated non-convexity and a matrix-free Fourier forward model, improves photoacoustic image reconstruction from reduced transducer data.