Sparsity-based acoustic inversion in cross-sectional multiscale optoacoustic imaging
Han Y, Tzoumas S, Nunes A, Ntziachristos V, Rosenthal A (2015)
Publication Type: Journal article
Publication year: 2015
Journal
Book Volume: 42
Pages Range: 5444-5452
Journal Issue: 9
DOI: 10.1118/1.4928596
Abstract
Purpose: With recent advancement in hardware of optoacoustic imaging systems, highly detailed cross-sectional images may be acquired at a single laser shot, thus eliminating motion artifacts. Nonetheless, other sources of artifacts remain due to signal distortion or out-of-plane signals. The purpose of image reconstruction algorithms is to obtain the most accurate images from noisy, distorted projection data. Methods: In this paper, the authors use the model-based approach for acoustic inversion, combined with a sparsity-based inversion procedure. Specifically, a cost function is used that includes the L1 norm of the image in sparse representation and a total variation (TV) term. The optimization problem is solved by a numerically efficient implementation of a nonlinear gradient descent algorithm. TV-L1 model-based inversion is tested in the cross section geometry for numerically generated data as well as for in vivo experimental data from an adult mouse. Results: In all cases, model-based TV-L1 inversion showed a better performance over the conventional Tikhonov regularization, TV inversion, and L1 inversion. In the numerical examples, the images reconstructed with TV-L1 inversion were quantitatively more similar to the originating images. In the experimental examples, TV-L1 inversion yielded sharper images and weaker streak artifact. Conclusions: The results herein show that TV-L1 inversion is capable of improving the quality of highly detailed, multiscale optoacoustic images obtained in vivo using cross-sectional imaging systems. As a result of its high fidelity, model-based TV-L1 inversion may be considered as the new standard for image reconstruction in cross-sectional imaging.
Involved external institutions
Germany (DE)How to cite
APA:
Han, Y., Tzoumas, S., Nunes, A., Ntziachristos, V., & Rosenthal, A. (2015). Sparsity-based acoustic inversion in cross-sectional multiscale optoacoustic imaging. Medical Physics, 42(9), 5444-5452. https://dx.doi.org/10.1118/1.4928596
MLA:
Han, Yiyong, et al. "Sparsity-based acoustic inversion in cross-sectional multiscale optoacoustic imaging." Medical Physics 42.9 (2015): 5444-5452.
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