scholarly journals MicroCT vascular network analysis program: Development, validation, and comparison to manufacturer software

2019 ◽  
Vol 38 (6) ◽  
pp. 1340-1350
Author(s):  
John Peters ◽  
Luke Vest ◽  
Matthew Schuelke ◽  
Silviya P. Zustiak ◽  
Andrew F. Hall ◽  
...  
2013 ◽  
Vol 357-360 ◽  
pp. 2338-2341 ◽  
Author(s):  
Jae Yeob Kim ◽  
Sang Tae No ◽  
Yong Kyu Park

This study used social network analysis (SNA) in order to analyze communication relationship between project team members in typical cases of Korean building constructions. Data was collected by conducting a survey from key members of construction project teams. We analyzed and digitized degree centrality by using Netminer, a SNA analysis program. According to the result of analysis in communication frequency, intermediate managers such as construction deputy managers were shown the highest and architectural designers were shown the lowest. With respect to communication credibility, construction managers were shown the highest and architectural designers were shown to be low. We discovered that intermediate managers and construction managers of the construction teams play important role in the communication of project teams.


2017 ◽  
Vol 10 (03) ◽  
pp. 1650051 ◽  
Author(s):  
Kübra Seker ◽  
Mehmet Engin

Subcutaneous vein network plays important roles to maintain microcirculation that is related to some diagnostic aspects. Despite developments of optical imaging technologies, still the difficulties about deep skin vascular imaging have been continued. On the other hand, since hemoglobin concentration of human blood has key role in the veins imaging by optical manner, the used wavelength in vascular imaging, must be chosen considering absorption of hemoglobin. In this research, we constructed a near infrared (NIR) light source because of lower absorption of hemoglobin in this optical region. To obtain vascular image, reflectance geometry was used. Next, from recorded images, vascular network analysis, such as calculation of width of vascular of interest and complexity of selected region were implemented. By comparing with other modalities, we observed that proposed imaging system has great advantages including nonionized radiation, moderate penetration depth of 0.5–3[Formula: see text]mm and diameter of 1[Formula: see text]mm, cost-effective and algorithmic simplicity for analysis.


1985 ◽  
Vol 53 (1) ◽  
pp. 27-40 ◽  
Author(s):  
I. Segev ◽  
J. W. Fleshman ◽  
J. P. Miller ◽  
B. Bunow

Author(s):  
Sercan Erbakan ◽  
Ibrahim Sefa Bakar ◽  
Erkan Zeki Engin ◽  
Kubra Seker ◽  
Ibrahim Akkaya ◽  
...  

1963 ◽  
Author(s):  
A Malmberg ◽  
F Cornwell

2020 ◽  
Author(s):  
Thomas Wälchli ◽  
Jeroen Bisschop ◽  
Arttu Miettinen ◽  
Alexandra Ulmann-Schuler ◽  
Christoph Hintermüller ◽  
...  

ABSTRACTThe formation of new blood vessels and the establishment of vascular networks are crucial during brain development, in the adult healthy brain, as well as in various diseases of the central nervous system (CNS). Here, we describe a method that enables hierarchical imaging and computational analysis of vascular networks in postnatal- and adult mouse brains. Resin-based vascular corrosion casting, scanning electron microscopy, synchrotron radiation and desktop µCT imaging, and computational network analysis are used. Combining these methods enables detailed visualization and quantification of the three-dimensional (3D) brain vasculature. Network features such as vascular volume fraction, branch point density, vessel diameter, - length, -tortuosity, and -directionality as well as extravascular distance can be obtained at any developmental stage from the early postnatal to the adult brain. Our method allows characterizing brain vascular networks separately for capillaries and non-capillaries.The entire protocol, from mouse perfusion to vessel network analysis, takes approximately 10 days.Online summaryThis protocol uses vascular corrosion casting, hierarchical synchrotron radiation µCT imaging, and computational image analysis to assess the three-dimensional vascular network architecture.


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