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Modeling the shape of cylindrically focused transducers in three-dimensional optoacoustic tomography.

J. Biomed. Opt. 18:76014 (2013)
Publ. Version/Full Text Volltext DOI PMC
Open Access Gold
ABSTRACT. Cross sectional tomographic systems based on cylindrically focused transducers are widely used in optoacoustic (photoacoustic) imaging due to important advantages they provide such as high-cross sectional resolution, real-time imaging capacity, and high-throughput performance. Tomographic images in such systems are commonly obtained by means of two-dimensional (2-D) reconstruction procedures assuming point-like detectors, and volumetric (whole-body) imaging is performed by superimposing the cross sectional images for different positions along the scanning direction. Such reconstruction strategy generally leads to in-plane and out-of-plane artifacts as well as significant quantification errors. Herein, we introduce two equivalent full three-dimensional (3-D) models capable of accounting for the shape of cylindrically focused transducers. The performance of these models in 3-D reconstructions considering several scanning positions is analyzed in this work. Improvements of the results rendered with the introduced reconstruction procedure as compared with the 2-D-based approach are described and discussed for simulations and experiments with phantoms and biological tissues.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Photoacoustic Tomography; Optoacoustic Tomography; Focused Transducer; Image Reconstruction; Photoacoustic Microscopy ; Reconstruction ; Resolution ; Detectors ; Brain
Language english
Publication Year 2013
HGF-reported in Year 2013
ISSN (print) / ISBN 1083-3668
e-ISSN 1560-2281
Quellenangaben Volume: 18, Issue: 7, Pages: , Article Number: 76014 Supplement: ,
Publisher SPIE
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
G-505590-001
PubMed ID 23864012
Scopus ID 84888229332
Erfassungsdatum 2013-07-29