QBI Imaging Data Store

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

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Controls-based denoising of voxel-based morphometry and multimodal imaging data improves prediction of conversion to Alzheimer’s disease

10.1055/s-0040-1708146 ◽

2020 ◽

Author(s):

D Blum ◽

C la Fougère ◽

M Reimold

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Multimodal Imaging ◽

Imaging Data ◽

Voxel Based Morphometry

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Cleavage of Human Embryos: Options and Diversity

Acta Naturae ◽

10.32607/20758251-2016-8-3-88-96 ◽

2016 ◽

Vol 8 (3) ◽

pp. 88-96

Author(s):

Yu. K. Doronin ◽

I. V. Senechkin ◽

L. V. Hilkevich ◽

M. A. Kurcer

Keyword(s):

Time Lapse ◽

Reproductive Technologies ◽

Human Embryos ◽

Imaging Data ◽

Noninvasive Methods ◽

Topographic Features ◽

Time Parameters ◽

Embryo Cleavage ◽

Time Lapse Imaging ◽

Developmental Dynamics

In order to estimate the diversity of embryo cleavage relatives to embryo progress (blastocyst formation), time-lapse imaging data of preimplantation human embryo development were used. This retrospective study is focused on the topographic features and time parameters of the cleavages, with particular emphasis on the lengths of cleavage cycles and the genealogy of blastomeres in 2- to 8-cell human embryos. We have found that all 4-cell human embryos have four developmental variants that are based on the sequence of appearance and orientation of cleavage planes during embryo cleavage from 2 to 4 blastomeres. Each variant of cleavage shows a strong correlation with further developmental dynamics of the embryos (different cleavage cycle characteristics as well as lengths of blastomere cycles). An analysis of the sequence of human blastomere divisions allowed us to postulate that the effects of zygotic determinants are eliminated as a result of cleavage, and that, thereafter, blastomeres acquire the ability of own syntheses, regulation, polarization, formation of functional contacts, and, finally, of specific differentiation. This data on the early development of human embryos obtained using noninvasive methods complements and extend our understanding of the embryogenesis of eutherian mammals and may be applied in the practice of reproductive technologies.

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Determination of the Size of an Imaging Data Storage Device at a Full PACS Hospital

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2000.42.4.705 ◽

2000 ◽

Vol 42 (4) ◽

pp. 705

Author(s):

Soon Joo Cha ◽

Yong Hoon Kim ◽

Gham Hur

Keyword(s):

Data Storage ◽

Storage Device ◽

Imaging Data

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Analytical Study on Big Data

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.668 ◽

2018 ◽

Vol 8 (5) ◽

pp. 75

Author(s):

Vivek Raich ◽

Pankaj Maurya

Keyword(s):

Information Technology ◽

Big Data ◽

Decision Maker ◽

Analytical Study ◽

Large Data ◽

Decision Makers ◽

Continuous Increase ◽

Analytic Methods ◽

Data Store ◽

Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

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