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Functional Ultrasound Speckle Decorrelation-Based Velocimetry of the Brain.
Tang, Jianbo; Postnov, Dmitry D; Kilic, Kivilcim; Erdener, Sefik Evren; Lee, Blaire; Giblin, John T; Szabo, Thomas L; Boas, David A.
Afiliación
  • Tang J; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
  • Postnov DD; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
  • Kilic K; Biomedical Sciences Institute Copenhagen University Copenhagen 2200 Denmark.
  • Erdener SE; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
  • Lee B; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
  • Giblin JT; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
  • Szabo TL; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
  • Boas DA; Neurophotonics Center Department of Biomedical Engineering Boston University Boston MA 02215 USA.
Adv Sci (Weinh) ; 7(18): 2001044, 2020 Sep.
Article en En | MEDLINE | ID: mdl-32999839
ABSTRACT
A high-speed, contrast-free, quantitative ultrasound velocimetry (vUS) for blood flow velocity imaging throughout the rodent brain is developed based on the normalized first-order temporal autocorrelation function of the ultrasound field signal. vUS is able to quantify blood flow velocity in both transverse and axial directions, and is validated with numerical simulation, phantom experiments, and in vivo measurements. The functional imaging ability of vUS is demonstrated by monitoring the blood flow velocity changes during whisker stimulation in awake mice. Compared to existing Power-Doppler- and Color-Doppler-based functional ultrasound imaging techniques, vUS shows quantitative accuracy in estimating both axial and transverse flow speeds and resistance to acoustic attenuation and high-frequency noise.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Sci (Weinh) Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Sci (Weinh) Año: 2020 Tipo del documento: Article
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