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Efficient three-dimensional model-based reconstruction scheme for arbitrary optoacoustic acquisition geometries.

IEEE Trans. Med. Imaging 36, 1858-1867 (2017)
Postprint DOI PMC
Open Access Green
Optimal optoacoustic tomographic sampling is often hindered by the frequency-dependent directivity of ultrasound sensors, which can only be accounted for with an accurate three-dimensional (3D) model. Herein, we introduce a 3D modelbased reconstruction method applicable to optoacoustic imaging systems employing detection elements with arbitrary size and shape. The computational complexity and memory requirements are mitigated by introducing an efficient graphics processing unit (GPU)-based implementation of the iterative inversion. On-the-fly calculation of the entries of the model-matrix via a small look-up table avoids otherwise unfeasible storage of matrices typically occupying more than 300GB of memory. Superior imaging performance of the suggested method with respect to standard optoacoustic image reconstruction methods is first validated quantitatively using tissue-mimicking phantoms. Significant improvements in the spatial resolution, contrast to noise ratio and overall 3D image quality are also reported in real tissues by imaging the finger of a healthy volunteer with a hand-held volumetric optoacoustic imaging system.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Optoacoustic Tomography ; Photoacoustic Tomography ; Model-based Inversion ; Volumetric Imaging; Photoacoustic Tomography; Inversion; Microscopy; Algorithm
Language english
Publication Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Quellenangaben Volume: 36, Issue: 9, Pages: 1858-1867 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY [u.a.]
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505590-001
Scopus ID 85029678519
PubMed ID 28504935
Erfassungsdatum 2017-06-21