title: Three-dimensional optoacoustic reconstruction using fast sparse representation.
abstract: Optoacoustic tomography based on insufficient spatial sampling of ultrasound waves leads to loss of contrast and artifacts on the reconstructed images. Compared to reconstructions based on L2-norm regularization, sparsity-based reconstructions may improve contrast and reduce image artifacts but at a high computational cost, which has so far limited their use to 2D optoacoustic tomography. Here we propose a fast, sparsity-based reconstruction algorithm for 3D optoacoustic tomography, based on gradient descent with Barzilai-Borwein line search (L1-GDBB). Using simulations and experiments, we show that the L1-GDBB offers fourfold faster reconstruction than the previously reported L1-norm regularized reconstruction based on gradient descent with backtracking line search. Moreover, the new algorithm provides higher-quality images with fewer artifacts than the L2-norm regularized reconstruction and the back-projection reconstruction.
authors.forename: Yiyong
authors.initials: Y
authors.lastname: Han
authors.forename: Lu
authors.initials: L
authors.lastname: Ding
authors.forename: Xosé Luis Deán
authors.initials: XL
authors.lastname: Ben
authors.forename: Daniel
authors.initials: D
authors.lastname: Razansky
authors.forename: Jaya
authors.initials: J
authors.lastname: Prakash
authors.forename: Vasilis
authors.initials: V
authors.lastname: Ntziachristos