Three-dimensional optoacoustic reconstruction using fast sparse representation
Han Y, Ding L, Ben XLD, Razansky D, Prakash J, Ntziachristos V (2017)
Publication Type: Journal article
Publication year: 2017
Journal
Book Volume: 42
Pages Range: 979-982
Journal Issue: 5
DOI: 10.1364/OL.42.000979
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.
Involved external institutions
Germany (DE)How to cite
APA:
Han, Y., Ding, L., Ben, X.L.D., Razansky, D., Prakash, J., & Ntziachristos, V. (2017). Three-dimensional optoacoustic reconstruction using fast sparse representation. Optics Letters, 42(5), 979-982. https://doi.org/10.1364/OL.42.000979
MLA:
Han, Yiyong, et al. "Three-dimensional optoacoustic reconstruction using fast sparse representation." Optics Letters 42.5 (2017): 979-982.
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