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Proceedings Paper

Evaluation of spontaneous low-frequency oscillations in cerebral hemodynamics with time-series red-green-blue images
Author(s): Izumi Nishidate; Afrina Mustari; Naoki Nakamura; Satoko Kawauchi; Shunichi Sato; Manabu Sato; Yasuaki Kokubo
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Paper Abstract

The brain relies on a continuous and adequate supply of blood flow, bringing the nutrients that it needs and removing the waste products of metabolism. It is thus one of the most tightly regulated systems in the body, whereby a whole range of mechanisms act to maintain this supply, despite changes in blood pressure etc. Failure of these mechanisms is found in a number of devastating cerebral diseases, including stroke, vascular dementia and brain injury and trauma. Spontaneous contraction and relaxation of arterioles (and in some instances venules) termed vasomotion has been observed in an extensive variety of tissues and species. Vasomotion has a beneficial effect on tissue oxygenation and enhance blood flow. Although vasomotion is strictly a local phenomenon, the regulation of contractile activity of vascular smooth muscle cells is dependent on the complex interplay between vasodilator and vasoconstrictor stimuli from circulating hormones, neurotransmitters, endothelial derived factors, and blood pressure. Therefore, evaluation of the spontaneous oscillations in cerebral vasculatures might be a useful tool for assessing risk and investigating different treatment strategies in neurological disorders, such as traumatic brain injury, seizure, ischemia, and stroke. In the present study, we newly propose a method to visualize the spontaneous low-frequency oscillation of cerebral blood volume based on the sequential RGB images of exposed brain.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10050, Clinical and Translational Neurophotonics, 100500Q (8 February 2017); doi: 10.1117/12.2253512
Show Author Affiliations
Izumi Nishidate, Tokyo Univ. of Agriculture and Technology (Japan)
Afrina Mustari, Tokyo Univ. of Agriculture and Technology (Japan)
Naoki Nakamura, Tokyo Univ. of Agriculture and Technology (Japan)
Satoko Kawauchi, National Defense Medical College (Japan)
Shunichi Sato, National Defense Medical College (Japan)
Manabu Sato, Yamagata Univ. (Japan)
Yasuaki Kokubo, Yamagata Univ. (Japan)


Published in SPIE Proceedings Vol. 10050:
Clinical and Translational Neurophotonics
Steen J. Madsen; Victor X. D. Yang, Editor(s)

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