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In vivo blood flow imaging by a swept laser source based Fourier domain optical Doppler tomography

Jun Zhang and Zhongping Chen

Open Access Open Access

Abstract

A swept source based Fourier domain optical Doppler tomography (FDODT) system was developed. The technique is based on a phase-resolved method where phase information was retrieved from the reconstructed complex fringe signals. The aliasing effects and artifacts caused by lateral scanning and sample movement were removed with a signal processing technique. The standard deviation of the phase shift of the system was reduced from 49 to 1.8 degrees with the signal processing method employed. Structural, Doppler and Doppler variance images of fluid flow through glass channels were quantified, and blood flow through vessels of chick chorioallantoic membrane (CAM) was demonstrated in vivo.

©2005 Optical Society of America

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Figures (6)
Fig. fig01a
Fig. fig01a

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Fig. 1.
Fig. 1. Schematic of the FDODT system. Phase Mod.: phase modulator; Colli.: collimator; Atte.: adjustable neutral density attenuator; M: mirror; L: Lens; FFP: 100 GHz fiber Fabry-Perot interferometer; D1, D2: photodetectors.

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Fig. 2.
Fig. 2. Probability distribution of measured phase difference from the second surface of a stationary microscope cover glass without (a) and with (b) background noise reduction.

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Fig. 3.
Fig. 3. Structural (a),velocity (b) and Doppler variance (c) images of a fluid flow. (d) The velocity profile in the axial direction in the center of the channel. Channel dimension: 0.5 mm.

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Fig. 4.
Fig. 4. Three-dimensional structural (a),velocity (b) and Doppler variance (c) images of a fluid flow through a glass channel.

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Fig. 5.
Fig. 5. Structural (a) and velocity (b) images of the blood flow in chick chorioallantoic membrane. (c) The velocity profile in the axial direction in the center of the vessel.

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Equations (3)

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H ( v ) = { 0 v < 0 1 v ≥ 0
f D = Δ ϕ ( z ) 2 π T = 1 2 π T tan − 1 ( Im ( ∑ j = 1 N S ˜ j T ( z ) ∙ S ˜ ( j + 1 ) T * ( z ) ) Re ( ∑ j = 1 N S ˜ j T ( z ) ∙ S ˜ ( j + 1 ) T * ( z ) ) )
σ 2 = 1 T 2 { 1 − ∣ ∑ j = 1 N S ˜ j T ( z ) ∙ S ˜ ( j + 1 ) T * ( z ) ∣ ∑ j = 1 N S ˜ j T ( z ) ∙ S ˜ j T * ( z ) }
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