Development of Three-Dimensional Velocity Measurement System of Micro Flow Using Optical Coherence Tomography

2009 ◽  
Author(s):  
Takeshi Fujimoto ◽  
Souichi Saeki ◽  
Takashi Saito ◽  
Takafumi Hiro ◽  
Masunori Matuzaki
Keyword(s):  
Optical Coherence Tomography ◽  
Measurement System ◽  
Flow Measurement ◽  
Three Dimensional ◽  
Phase Flow ◽  
Optical Coherence ◽  
Two Phase ◽  
Two Component ◽  
Micro Flow ◽  
Solid Liquid

This paper presents three-dimensional micro flow measurement system “OCTIV”, which is based on Optical Coherence Tomography. This was applied to solid-liquid two-phase flow in the microchannel. Consequently, OCTIV has an attractive two-component and three-dimensional velocimetry for micro flow.

OS9-9 Research on compound measurement system for gas-liquid two-phase flow measurement

2006 ◽  
Vol 2006.11 (0) ◽  
pp. 263-264
Author(s):  
Masataka SHIGEFUJI ◽  
Hiroshige KIKURA ◽  
Masanori ARITOMI ◽  
Kensuke USUI
Keyword(s):  
Measurement System ◽  
Flow Measurement ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase

scholarly journals Non-invasive three-dimensional thickness analysis of oral epithelium based on optical coherence tomography—development and diagnostic performance

Heliyon ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e06645
Author(s):  
Charlotte Theresa Trebing ◽  
Sinan Sen ◽  
Stefan Rues ◽  
Christopher Herpel ◽  
Maria Schöllhorn ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Diagnostic Performance ◽  
Three Dimensional ◽  
Oral Epithelium ◽  
Optical Coherence ◽  
Non Invasive

scholarly journals Three-dimensional segmentation and depth-encoded visualization of choroidal vasculature using swept-source optical coherence tomography

2021 ◽  
pp. 153537022110285
Author(s):  
Hao Zhou ◽  
Tommaso Bacci ◽  
K Bailey Freund ◽  
Ruikang K Wang
Keyword(s):  
Optical Coherence Tomography ◽  
Three Dimensional ◽  
Age Related Macular Degeneration ◽  
Optical Coherence ◽  
Full Thickness ◽  
Swept Source ◽  
Automated Method ◽  
Choroidal Imaging ◽  
Choroidal Vasculature ◽  
Choroidal Vessels

The choroid provides nutritional support for the retinal pigment epithelium and photoreceptors. Choroidal dysfunction plays a major role in several of the most important causes of vision loss including age-related macular degeneration, myopic degeneration, and pachychoroid diseases such as central serous chorioretinopathy and polypoidal choroidal vasculopathy. We describe an imaging technique using depth-resolved swept-source optical coherence tomography (SS-OCT) that provides full-thickness three-dimensional (3D) visualization of choroidal anatomy including topographical features of individual vessels. Enrolled subjects with different clinical manifestations within the pachychoroid disease spectrum underwent 15 mm × 9 mm volume scans centered on the fovea. A fully automated method segmented the choroidal vessels using their hyporeflective lumens. Binarized choroidal vessels were rendered in a 3D viewer as a vascular network within a choroidal slab. The network of choroidal vessels was color depth-encoded with a reference to the Bruch’s membrane segmentation. Topographical features of the choroidal vasculature were characterized and compared with choroidal imaging obtained with indocyanine green angiography (ICGA) from the same subject. The en face SS-OCT projections of the larger choroid vessels closely resembled to that obtained with ICGA, with the automated SS-OCT approach proving additional depth-encoded 3D information. In 16 eyes with pachychoroid disease, the SS-OCT approach added clinically relevant structural details, including choroidal thickness and vessel depth, which the ICGA studies could not provide. Our technique appears to advance the in vivo visualization of the full-thickness choroid, successfully reveals the topographical features of choroidal vasculature, and shows potential for further quantitative analysis when compared with other choroidal imaging techniques. This improved visualization of choroidal vasculature and its 3D structure should provide an insight into choroid-related disease mechanisms as well as their responses to treatment.

scholarly journals Clustering-Based Component Fraction Estimation in Solid–Liquid Two-Phase Flow in Dredging Engineering

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5697
Author(s):  
Chang Sun ◽  
Shihong Yue ◽  
Qi Li ◽  
Huaxiang Wang
Keyword(s):  
Clustering Algorithm ◽  
Two Phase Flow ◽  
Low Cost ◽  
Fast Response ◽  
New Method ◽  
Phase Flow ◽  
Reference Distribution ◽  
Two Phase ◽  
Long Time ◽  
Solid Liquid

Component fraction (CF) is one of the most important parameters in multiple-phase flow. Due to the complexity of the solid–liquid two-phase flow, the CF estimation remains unsolved both in scientific research and industrial application for a long time. Electrical resistance tomography (ERT) is an advanced type of conductivity detection technique due to its low-cost, fast-response, non-invasive, and non-radiation characteristics. However, when the existing ERT method is used to measure the CF value in solid–liquid two-phase flow in dredging engineering, there are at least three problems: (1) the dependence of reference distribution whose CF value is zero; (2) the size of the detected objects may be too small to be found by ERT; and (3) there is no efficient way to estimate the effect of artifacts in ERT. In this paper, we proposed a method based on the clustering technique, where a fast-fuzzy clustering algorithm is used to partition the ERT image to three clusters that respond to liquid, solid phases, and their mixtures and artifacts, respectively. The clustering algorithm does not need any reference distribution in the CF estimation. In the case of small solid objects or artifacts, the CF value remains effectively computed by prior information. To validate the new method, a group of typical CF estimations in dredging engineering were implemented. Results show that the new method can effectively overcome the limitations of the existing method, and can provide a practical and more accurate way for CF estimation.

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