Literature DB >> 19516482

Toward noninvasive measurement of blood hematocrit using spectral domain low coherence interferometry and retinal tracking.

Nicusor V Iftimia, Daniel X Hammer, Chad E Bigelow, David I Rosen, Teoman Ustun, Anthony A Ferrante, Danthu Vu, R Daniel Ferguson.   

Abstract

We demonstrate in vivo measurements in human retinal vessels of an experimental parameter, the slope of the low coherence interferometry (LCI) depth reflectivity profile, which strongly correlates with the real value of blood hematocrit. A novel instrument that combines two technologies, spectral domain low coherence interferometry (SDLCI) and retinal tracking, has been developed and used for these measurements. Retinal tracking allows a light beam to be stabilized on retinal vessels, while SDLCI is used for obtaining depth-reflectivity profiles within the investigated vessel. SDLCI backscatter extinction rates are obtained from the initial slope of the A-scan profile within the vessel lumen. The differences in the slopes of the depth reflectivity profiles for different subjects are interpreted as the difference in the scattering coefficient, which is correlated with the number density of red blood cells (RBC) in blood. With proper calibration, it is possible to determine hematocrit in retinal vessels. Ex vivo measurements at various RBC concentrations were performed to calibrate the instrument. Preliminary measurements on several healthy volunteers show estimated hematocrit values within the normal clinical range.

Entities:  

Year:  2006        PMID: 19516482     DOI: 10.1364/oe.14.003377

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  11 in total

1.  Velocity variation assessment of red blood cell aggregation with spectral domain Doppler optical coherence tomography.

Authors:  Xiangqun Xu; Lingfeng Yu; Zhongping Chen
Journal:  Ann Biomed Eng       Date:  2010-05-15       Impact factor: 3.934

2.  Spectral imaging reveals microvessel physiology and function from anastomoses to thromboses.

Authors:  Mamta Wankhede; Nikita Agarwal; Rodrigo A Fraga-Silva; Casey deDeugd; Mohan K Raizada; S Paul Oh; Brian S Sorg
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

3.  Quantitative microvascular hemoglobin mapping using visible light spectroscopic Optical Coherence Tomography.

Authors:  Shau Poh Chong; Conrad W Merkle; Conor Leahy; Harsha Radhakrishnan; Vivek J Srinivasan
Journal:  Biomed Opt Express       Date:  2015-03-24       Impact factor: 3.732

4.  Structural and functional human retinal imaging with a fiber-based visible light OCT ophthalmoscope.

Authors:  Shau Poh Chong; Marcel Bernucci; Harsha Radhakrishnan; Vivek J Srinivasan
Journal:  Biomed Opt Express       Date:  2016-12-19       Impact factor: 3.732

5.  Complex differential variance angiography with noise-bias correction for optical coherence tomography of the retina.

Authors:  Boy Braaf; Sabine Donner; Ahhyun S Nam; Brett E Bouma; Benjamin J Vakoc
Journal:  Biomed Opt Express       Date:  2018-01-08       Impact factor: 3.732

6.  Evaluation of optical coherence tomography for the measurement of the effects of activators and anticoagulants on the blood coagulation in vitro.

Authors:  Xiangqun Xu; Jinhai Geng; Gangjun Liu; Zhongping Chen
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-06       Impact factor: 4.538

7.  Effect of erythrocyte aggregation on hematocrit measurement using spectral-domain optical coherence tomography.

Authors:  Xiangqun Xu; Lingfeng Yu; Zhongping Chen
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

8.  Fiber-based polarization-sensitive OCT of the human retina with correction of system polarization distortions.

Authors:  Boy Braaf; Koenraad A Vermeer; Mattijs de Groot; Kari V Vienola; Johannes F de Boer
Journal:  Biomed Opt Express       Date:  2014-07-22       Impact factor: 3.732

9.  Response of a new low-coherence Fabry-Perot sensor to hematocrit levels in human blood.

Authors:  Małgorzata Jędrzejewska-Szczerska
Journal:  Sensors (Basel)       Date:  2014-04-21       Impact factor: 3.576

10.  Development of a diagnostic sensor for measuring blood cell concentrations during haemoconcentration.

Authors:  Craig A Robertson; Terence Gourlay
Journal:  Perfusion       Date:  2016-09-24       Impact factor: 1.972

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