Acoustic scattering mediated single detector optoacoustic tomography.
Phys. Rev. Lett. 123:174301 (2019)
Optoacoustic image formation is conventionally based upon ultrasound time-of-flight readings from multiple detection positions. Herein, we exploit acoustic scattering to physically encode the position of optical absorbers in the acquired signals, thus reducing the amount of data required to reconstruct an image from a single waveform. This concept is experimentally tested by including a random distribution of scatterers between the sample and an ultrasound detector array. Ultrasound transmission through a randomized scattering medium was calibrated by raster scanning a light-absorbing microparticle across a Cartesian grid. Image reconstruction from a single time-resolved signal was then enabled with a regularized model-based iterative algorithm relying on the calibration signals. The signal compression efficiency is facilitated by the relatively short acquisition time window needed to capture the entire scattered wave field. The demonstrated feasibility to form an image using a single recorded optoacoustic waveform paves a way to the development of faster and affordable optoacoustic imaging systems.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Photoacoustic Tomography; Time; Reconstruction; Algorithm
Keywords plus
Sprache
Veröffentlichungsjahr
2019
Prepublished im Jahr
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
0031-9007
e-ISSN
1079-7114
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 123,
Heft: 17,
Seiten: ,
Artikelnummer: 174301
Supplement: ,
Reihe
Verlag
American Physical Society (APS)
Verlagsort
One Physics Ellipse, College Pk, Md 20740-3844 Usa
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0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
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Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30205 - Bioengineering and Digital Health
30204 - Cell Programming and Repair
Forschungsfeld(er)
Enabling and Novel Technologies
Stem Cell and Neuroscience
PSP-Element(e)
G-505590-001
G-500100-001
Förderungen
Copyright
Erfassungsdatum
2019-11-11