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Proceedings Paper

Diffusion correlation spectroscopy and color doppler ultrasound measurements of blood flow and pulse wave: a comparison study
Author(s): Qisi Ge; Zhe Li; Jinchao Feng; Kebin Jia
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Paper Abstract

Hypertension and other cardio-cerebrovascular diseases seriously endanger human life and health. Pulse wave and blood flow are the main parameters reflecting blood pressure and other physiological and pathological conditions of cardiovascular system . Fast diffusion correlation spectroscopy (fast DCS) based on software correlator is constructed on the basis of the traditional diffusion correlation spectroscopy (DCS), which greatly improves the sampling frequency of blood flow. Compared with the traditional DCS frequency of 2-3 Hz, the sampling frequency of fast DCS is as high as 30 Hz, so that the corresponding pulse wave information can be obtained while realizing the fast measurement of blood flow. In this paper, we employed two complimentary methods to measure blood flow and pulse wave from one healthy subjects: fast DCS and color doppler ultrasound (CDUs). Measures of blood flow derived using fast DCS and CDUs due to an arterial occlusion were well correlated (R=0.7218, p< 0.01). This study supports that fast DCS can quickly and accurately measure the main parameters of physiological and pathological conditions of cardiovascular system such as pulse wave and blood flow, and provides a convenient and rapid method for providing good diagnosis and treatment evaluation for cardio-cerebrovascular diseases.

Paper Details

Date Published: 20 December 2019
PDF: 7 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112093Q (20 December 2019); doi: 10.1117/12.2548922
Show Author Affiliations
Qisi Ge, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Networks (China)
Zhe Li, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Networks (China)
Jinchao Feng, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Networks (China)
Kebin Jia, Beijing Univ. of Technology (China)
Beijing Lab. of Advanced Information Networks (China)


Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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