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Rapid scanning wide-field clutter elimination in epi-optoacoustic imaging using comb LOVIT.
Petrosyan, Tigran; Theodorou, Maria; Bamber, Jeff; Frenz, Martin; Jaeger, Michael.
Afiliação
  • Petrosyan T; Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
  • Theodorou M; Joint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
  • Bamber J; Joint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
  • Frenz M; Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
  • Jaeger M; Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
Photoacoustics ; 10: 20-30, 2018 Jun.
Article em En | MEDLINE | ID: mdl-29755937
ABSTRACT
Epi-style optoacoustic (OA) imaging provides flexibility by integrating the irradiation optics and ultrasound receiver, yet clutter generated by optical absorption near the probe obscures deep OA sources. Localised vibration tagging (LOVIT) retrieves OA signal from images that are acquired with and without a preceding ultrasonic pushing beam Radiation force leads to a phase shift of signals coming from the focal area resulting in their visibility in a difference image, whereas clutter from outside the pushing beam is eliminated. Disadvantages of a single-focus approach are residual clutter from inside the pushing beam above the focus, and time-intensive scanning of the focus to retrieve a large field-of-view. To speed up acquisition, we propose to create multiple foci in parallel, forming comb-shaped ARF patterns. By subtracting OA images obtained with interleaved combs, this technique moreover results in greatly improved clutter reduction in phantoms mimicking optical, acoustic and elastic properties of breast tissue.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article