Paper
23 May 2001 Ultrahigh-velocity resolution imaging of the microcirculation in-vivo using color Doppler optical coherence tomography
Author Affiliations +
Abstract
Color Doppler optical coherence tomography (CDOCT) is a method for noninvasive cross-sectional imaging of blood flow in vivo. In previous implementations, velocity estimates were obtained by measuring the frequency shift of discrete depth-resolved backscatter spectra, resulting in a velocity resolution on the order of 1 mm/s. We present a novel processing method that detects Doppler shifts calculated across sequential axial scans, enabling ultrahigh velocity resolution (~1 micron/s) flow measurement in scattering media. This method of sequential scan processing was calibrated with a moving mirror mounted on a precision motorized translator. Latex microspheres suspended in deuterium oxide were used as a highly scattering test phantom. Laminar flow profiles down to ~15 micron/s centerline velocity (0.02 cc/hr) were observed with a sensitivity of 1.2 micron/s. Finally, vessels on the order of 10 microns in diameter were imaged in living human skin, with a relative frequency sensitivity less than 4 x 10-5. To our knowledge, these results are the lowest velocities ever measured with CDOCT.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siavash Yazdanfar, Andrew M. Rollins, and Joseph A. Izatt "Ultrahigh-velocity resolution imaging of the microcirculation in-vivo using color Doppler optical coherence tomography", Proc. SPIE 4251, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications V, (23 May 2001); https://doi.org/10.1117/12.427887
Lens.org Logo
CITATIONS
Cited by 16 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Doppler effect

Blood circulation

Optical coherence tomography

Image resolution

Sensors

Doppler tomography

In vivo imaging

Back to Top