Optical coherence Doppler tomography for quantitative cerebral blood flow imaging

You, Jiang; Du, Congwu; Volkow, Nora D.

doi:10.1364/boe.5.003217

Cited by 47 publications

(49 citation statements)

References 38 publications

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“…Since this process was computationally intensive, a graphic processing unit (GPU) with custom GUI programming was implemented to boost FFT and phase detection, which allowed for real-time rendering and display of maximum intensity projection (MIP) of µODT images, e.g., as fast as 473 fps for a B-scan containing 1 k × 2 k pixels. Therefore, the dynamic features of the CBFv network were readily visualized during imaging [9, 10]. …”

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confidence: 99%

Quantitative imaging of microvascular blood flow networks in deep cortical layers by 1310 nm μODT

et al. 2015

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There is growing interest in new neuroimage techniques that permit not only high-resolution quantification of cerebral blood flow velocity (CBFv) in capillaries, but also a large field of view to map the CBFv network dynamics. Such image capabilities are of great importance for decoding the functional difference across multiple cortical layers under stimuli. To tackle the limitation of optical penetration depth, we present a new ultrahigh-resolution optical coherence Doppler tomography (µODT) system at 1310 nm and compare it with a prior 800 nm µODT system for mouse brain 3D CBFv imaging. We show that the new 1310 nm µODT allows for dramatically increased depth (~4 times) of quantitative CBFv imaging to 1.4 mm, thus covering the full thickness of the mouse cortex (i.e., layers I–VI). Interestingly, we show that such a unique 3D CBFv imaging capability allows identification of microcirculatory redistribution across different cortical layers resulting from repeated cocaine exposures.

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Quantitative imaging of microvascular blood flow networks in deep cortical layers by 1310 nm μODT

et al. 2015

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“…However, a majority of the scientific investigations and optical systems are still in the animal studies phase in neuroscience [13,39]. Few of the optical techniques have so far made their way into daily routine in the neurosurgical operating theatre and neurointensive care.…”

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confidence: 99%

A laser Doppler system for monitoring cerebral microcirculation: implementation and evaluation during neurosurgery

Rejmstad

Åkesson

Åneman

et al. 2015

Med Biol Eng Comput

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The aim of this study was to adapt and evaluate laser Doppler perfusion monitoring (LDPM) together with custom designed brain probes and software for continuous recording of cerebral microcirculation in patients undergoing neurosurgery. The LDPM system was used to record perfusion and backscattered light (TLI). These parameters were displayed together with the extracted heart rate (HR), pulsatility index (PI) and signal trends from adjustable time intervals. Technical evaluation was done on skin during thermal provocation. Clinical measurements were performed on ten patients undergoing brain tumour surgery. Data from 76 tissue sites were captured with a length varying between 10 s to 15 min. Statistical comparisons were done using Mann-Whitney tests. Grey and tumour tissue could be separated from white matter using the TLI-signal (p < 0.05). The perfusion was significantly higher in grey and tumour tissue compared to white matter (p < 0.005). LDPM was successfully used as an intraoperative tool for monitoring local blood flow and additional parameters linked to cerebral microcirculation (perfusion, TLI, heart rate and PI) during tumour resection. The systems stability opens up for studies in the postoperative care of patients with e.g. traumatic brain injury or subarachnoid haemorrhage.

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“…6,7 Alternatively, continuous gradient tracking was proposed based on the gradient profile of extracted skeleton of individual vessels. 8 Similarly, the method was extended to retrieve Doppler angles of multiple branches of middle cerebral artery (MCA). 9 However, most of these methods are limited to only correct the Doppler angles of a few large vessels (e.g., MCA) and are unable to calculate h z (x, y, z) of individual micro flows within 3D cerebral blood flow (CBF) networks.…”

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“…In summary, we present an approach based on the 3D Hessian matrix that enables accurate tracking of Doppler angles of 3D microcirculatory CBFv networks. Unlike the previously reported skeleton gradient methods, 8,9 the method is voxel-based and retrieves h z matrix by utilizing eigenvalue analysis of 3D Hessian matrix. For proof of concept, we presented the simulation result that clearly demonstrated the efficacy of this method to trace h z of a Gaussian profiled helix with an overall error less than 1.18 6 0.60 .…”

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Volumetric Doppler angle correction for ultrahigh-resolution optical coherence Doppler tomography

You

2017

Applied Physics Letters

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Ultrahigh-resolution optical coherence Doppler tomography (lODT) demonstrates great potential for quantitative blood flow imaging owing to its large field of view and capillary resolution. However, lODT only detects the axial flow velocity and requires Doppler angle correction to retrieve the absolute velocity. Although methods for Doppler angle tracking of single or few large vessels have been reported, a method that enables angle correction of the entire 3D microvascular networks remains a challenge. Here, we present a method based on eigenvalue analysis of 3D Hessian matrix to retrieve the orientation of each tubular vessel. As the algorithm is voxel based, it is suitable for effective tracking of Doppler angle matrix and restoring the absolute flow over the 3D vascular flow networks. We present results on simulation and flow phantom studies to show its efficacy for accurate 3D angle tracking and absolute flow correction. Then, we perform an in vivo validation study on mouse micro-circulatory cerebral blood flow (CBF) networks, which clearly demonstrates the capability of this method for tracking the Doppler angle matrix of the highly complex 3D CBF networks. Published by AIP Publishing. [http://dx.doi.org/10.1063/1.4973367] Ultrahigh-resolution optical coherence Doppler tomography (lODT) has been shown to enable determination of 3D cerebral blood flow velocity (CBFv) of mouse brain capillary networks over a large field of view (FOV). 1 Owing to its intrinsic Doppler effect induced by the red blood cell velocity (v RBC ), lODT detects the apparent v RBC , i.e., the averaged axial component v z of v RBC by calculating the accumulative phase shift between two successive A-scans. 2

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Optical coherence Doppler tomography for quantitative cerebral blood flow imaging

Cited by 47 publications

References 38 publications

Quantitative imaging of microvascular blood flow networks in deep cortical layers by 1310 nm μODT

Quantitative imaging of microvascular blood flow networks in deep cortical layers by 1310 nm μODT

A laser Doppler system for monitoring cerebral microcirculation: implementation and evaluation during neurosurgery

Volumetric Doppler angle correction for ultrahigh-resolution optical coherence Doppler tomography

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