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Complex regression Doppler optical coherence tomography.
Elahi, Sahar; Gu, Shi; Thrane, Lars; Rollins, Andrew; Jenkins, Michael.
Afiliação
  • Elahi S; Case Western Reserve Univ., United States.
  • Gu S; Case Western Reserve Univ., United States.
  • Thrane L; Case Western Reserve Univ., United States.
  • Rollins A; Case Western Reserve Univ., United States.
  • Jenkins M; Case Western Reserve Univ., United States.
J Biomed Opt ; 23(4): 1-8, 2018 04.
Article em En | MEDLINE | ID: mdl-29704328
We introduce a new method to measure Doppler shifts more accurately and extend the dynamic range of Doppler optical coherence tomography (OCT). The two-point estimate of the conventional Doppler method is replaced with a regression that is applied to high-density B-scans in polar coordinates. We built a high-speed OCT system using a 1.68-MHz Fourier domain mode locked laser to acquire high-density B-scans (16,000 A-lines) at high enough frame rates (∼100 fps) to accurately capture the dynamics of the beating embryonic heart. Flow phantom experiments confirm that the complex regression lowers the minimum detectable velocity from 12.25 mm / s to 374 µm / s, whereas the maximum velocity of 400 mm / s is measured without phase wrapping. Complex regression Doppler OCT also demonstrates higher accuracy and precision compared with the conventional method, particularly when signal-to-noise ratio is low. The extended dynamic range allows monitoring of blood flow over several stages of development in embryos without adjusting the imaging parameters. In addition, applying complex averaging recovers hidden features in structural images.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia de Coerência Óptica Limite: Animals Idioma: En Revista: J Biomed Opt Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia de Coerência Óptica Limite: Animals Idioma: En Revista: J Biomed Opt Ano de publicação: 2018 Tipo de documento: Article