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Prakash, J. ; Mandal, S. ; Razansky, D. ; Ntziachristos, V.

Maximum entropy based non-negative optoacoustic tomographic image reconstruction.

IEEE Trans. Bio. Med. Eng. 66, 2604-2616 (2019)
Postprint DOI PMC
Open Access Green
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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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Optical Parameters ; Photoacoustic Tomography ; Inverse Problems ; Image Reconstruction ; Regularization Theory; Photoacoustic Tomography; Optical-absorption; Regularization; Inversion; Distributions; Oxygenation; Tissues
ISSN (print) / ISBN 0018-9294
e-ISSN 0096-0616
Journal IEEE Transactions on Bio-Medical Electronics
Quellenangaben Volume: 66, Issue: 9, Pages: 2604-2616 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)