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Maximum Entropy Based Non-Negative Optoacoustic Tomographic Image Reconstruction


Prakash, Jaya; Mandal, Subhamoy; Razansky, Daniel; Ntziachristos, Vasilis (2019). Maximum Entropy Based Non-Negative Optoacoustic Tomographic Image Reconstruction. IEEE Transactions on Bio-Medical Engineering, 66(9):2604-2616.

Abstract

OBJECTIVE
Optoacoustic (photoacoustic) tomography is aimed at reconstructing maps of the initial pressure rise induced by the absorption of light pulses in tissue. In practice, due to inaccurate assumptions in the forward model, noise, and other experimental factors, the images are often afflicted by artifacts, occasionally manifested as negative values. The aim of this work is to develop an inversion method which reduces the occurrence of negative values and improves the quantitative performance of optoacoustic imaging.
METHODS
We present a novel method for optoacoustic tomography based on an entropy maximization algorithm, which uses logarithmic regularization for attaining non-negative reconstructions. The reconstruction image quality is further improved using structural prior-based fluence correction.
RESULTS
We report the performance achieved by the entropy maximization scheme on numerical simulation, experimental phantoms, and in-vivo samples.
CONCLUSION
The proposed algorithm demonstrates superior reconstruction performance by delivering non-negative pixel values with no visible distortion of anatomical structures.
SIGNIFICANCE
Our method can enable quantitative optoacoustic imaging, and has the potential to improve preclinical and translational imaging applications.

Abstract

OBJECTIVE
Optoacoustic (photoacoustic) tomography is aimed at reconstructing maps of the initial pressure rise induced by the absorption of light pulses in tissue. In practice, due to inaccurate assumptions in the forward model, noise, and other experimental factors, the images are often afflicted by artifacts, occasionally manifested as negative values. The aim of this work is to develop an inversion method which reduces the occurrence of negative values and improves the quantitative performance of optoacoustic imaging.
METHODS
We present a novel method for optoacoustic tomography based on an entropy maximization algorithm, which uses logarithmic regularization for attaining non-negative reconstructions. The reconstruction image quality is further improved using structural prior-based fluence correction.
RESULTS
We report the performance achieved by the entropy maximization scheme on numerical simulation, experimental phantoms, and in-vivo samples.
CONCLUSION
The proposed algorithm demonstrates superior reconstruction performance by delivering non-negative pixel values with no visible distortion of anatomical structures.
SIGNIFICANCE
Our method can enable quantitative optoacoustic imaging, and has the potential to improve preclinical and translational imaging applications.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Pharmacology and Toxicology
07 Faculty of Science > Institute of Pharmacology and Toxicology

04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Language:English
Date:September 2019
Deposited On:31 Oct 2019 11:14
Last Modified:31 Oct 2019 12:28
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0018-9294
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/TBME.2019.2892842
PubMed ID:30640596

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