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Ron, A. ; Davoudi, N.* ; Dean-Ben, X.L. ; Razansky, D.

Self-gated respiratory motion rejection for optoacoustic tomography.

Appl. Sci. 9:2737 (2019)
Verlagsversion DOI
Open Access Gold
Creative Commons Lizenzvertrag
Respiratory motion in living organisms is known to result in image blurring and loss of resolution, chiefly due to the lengthy acquisition times of the corresponding image acquisition methods. Optoacoustic tomography can effectively eliminate in vivo motion artifacts due to its inherent capacity for collecting image data from the entire imaged region following a single nanoseconds-duration laser pulse. However, multi-frame image analysis is often essential in applications relying on spectroscopic data acquisition or for scanning-based systems. Thereby, efficient methods to correct for image distortions due to motion are imperative. Herein, we demonstrate that efficient motion rejection in optoacoustic tomography can readily be accomplished by frame clustering during image acquisition, thus averting excessive data acquisition and post-processing. The algorithm’s efficiency for two- and three-dimensional imaging was validated with experimental whole-body mouse data acquired by spiral volumetric optoacoustic tomography (SVOT) and full-ring cross-sectional imaging scanners.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter optoacoustic imaging; photoacoustic tomography; respiratory gating; motion artifacts
Sprache
Veröffentlichungsjahr 2019
HGF-Berichtsjahr 2019
ISSN (print) / ISBN 2076-3417
e-ISSN 2076-3417
Zeitschrift Applied Sciences
Quellenangaben Band: 9, Heft: 13, Seiten: , Artikelnummer: 2737 Supplement: ,
Verlag MDPI
Verlagsort Basel
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505590-001
DOI 10.3390/app9132737
WOS ID WOS:000477031900156
Erfassungsdatum 2019-07-26
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