UQ Centre for Advanced Imaging Data Store

UQ eSpace ◽  
2014 ◽  
Author(s):  
Graham Galloway
Keyword(s):  
Imaging Data ◽  
Advanced Imaging ◽  
Data Store

Abstract 182: Time is Brain on the Collateral Clock! Collaterals and Reperfusion Determine Tissue Injury

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
David S Liebeskind ◽  
Dezhi Liu ◽  
Nerses Sanossian ◽  
Sunil A Sheth ◽  
Conrad Liang ◽  
...  
Keyword(s):  
Linear Models ◽  
Tissue Injury ◽  
Ischemic Injury ◽  
Realistic Model ◽  
Consecutive Series ◽  
Imaging Data ◽  
Advanced Imaging ◽  
Lesion Growth ◽  
Linear Fit ◽  
The Relationship

Background: The pace of ischemic injury due to stroke may vary due to collaterals and degree of reperfusion. Previous linear models that estimate time is brain have not incorporated individual patient data from advanced imaging such as diffusion-weighted imaging (DWI) and angiographic assessment of collateral grade or reperfusion. We developed a realistic model of ischemic injury using detailed imaging data in a homogenous cohort of isolated M1 middle cerebral artery occlusions. Methods: Retrospective analysis of a consecutive series of isolated M1 occlusions was conducted at an expert core lab. ASITN collateral grade was assessed at baseline and extent of reperfusion after endovascular therapy (EVT) was scored with 3 distinct versions of TICI. A separate imaging expert measured DWI lesion volumes on serial MRI acquired from admission to discharge. Graphical analyses illustrated curves demarcating extent of injury over time, based on both collateral grade and extent of reperfusion. Results: 126 patients (median age 73; 88 women; median NIHSS 17; median time to 1 st DWI, 4h08min) with acute stroke due to M1 occlusion (61 proximal, 65 distal) underwent EVT during a 6-year period. Median collateral grade was 2 (range 0-4) and median TICI, 2B (range 0-3). mTICI scores were 0 (n=18), 1 (6), 2A (25), 2B (73), and 3 (4) with 24 TICI 2C scores when evaluated in detail. Total number of DWI scans was 323, with mean 2.5 per patient. Collateral grade strongly influenced pace of development of initial tissue injury (ASITN 0, 0.445 cc/min; 1, 0.276 cc/min; 2, 0.178 cc/min; 3, 0.106 cc/min; 4, 0.031 cc/min). The relationship between time and DWI lesion growth was not linear, but best fit logarithmically (R 2 = 0.985, RMSE 2.1 for log fit; R 2 = 0.757, RMSE 8.1 for linear fit). Individual lesion growth varied markedly with both collateral grade (ANOVA p<0.001) and the degree (TICI 2B/3 vs. 0,1,2A) of reperfusion (ANOVA p=0.013). Conclusions: Collateral grade and the degree of reperfusion strongly dictate the timecourse of ischemic injury in the brain after stroke onset. Advanced imaging and angiographic assessment of collaterals and reperfusion confirm a logarithmic, not linear, model that can be used to differentiate stroke patients and streamline therapeutic strategies.

QBI Imaging Data Store

UQ eSpace ◽  
2014 ◽  
Author(s):  
Linda Richards
Keyword(s):  
Imaging Data ◽  
Data Store

Abstract WP28: Factors Associated With Imaging and Endovascular Therapy Decisions for Mild Ischemic Stroke: An International Survey

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Nastajjia A Krementz ◽  
Avi Landman ◽  
Hannah E Gardener ◽  
Anny D Rodriguez ◽  
Nicole B Sur ◽  
...  
Keyword(s):  
Latin America ◽  
Ischemic Stroke ◽  
Multivariable Analysis ◽  
Imaging Data ◽  
Advanced Imaging ◽  
Vessel Occlusion ◽  
Factors Associated ◽  
Mild Stroke ◽  
Proximal Occlusion ◽  
Level Training

Background: Approximately 1 in 7 patients with mild ischemic stroke (NIHSS ≤5) have large vessel occlusion (LVO). These patients were excluded from randomized trials of endovascular therapies (EVT). We conducted a survey to evaluate global practice patterns of EVT in mild stroke with LVO. Methods: International vascular stroke clinicians and interventionalists were invited to participate through professional stroke listservs. The survey consisted of 6 clinical vignettes of mild stroke patients with LVO (Table). Cases varied by NIHSS, neurological symptoms and LVO site. All had same risk factors, time from symptom onset (5h) and unremarkable head CT (high ASPECTS). Advanced imaging data was available upon request. We explored independent case and responder specific factors associated with advanced imaging request and EVT decision. Results: Of 492 responders, 482 had analyzable data ([median age 44 (IQR 11.25)], 78% male, 77% attending, 22% interventionalist). Participants were from USA (45%), Europe (32%), Australia (12%), Canada (6%), and Latin America (5%). EVT was offered to 48% (84% M1, 29% M2 and 19% A2). Treatment decision made without advanced imaging in 66%. In multivariable analysis, proximal occlusion (M1 vs M2 or A2, p<0.001), higher NIHSS (p<0.001) and fellow level training (vs attending; p=0.001) were positive predictors of EVT. Distal occlusion (M2 and A2) and higher age of responder were independently associated with increased advanced imaging requests. Compared to US and Australian responders, Canadians were less likely to offer EVT, while those in Europe and Latin America were more likely (p<0.05). Conclusions: Treatment patterns of EVT in mild stroke vary widely. More proximal occlusion, higher NIHSS, younger physician, fellow level training, and area of residence (Europe and Latin America) were key factors associated with offering EVT. These data suggest that wide equipoise exists in the current approach to this important subset of LVO stroke.

Clinical, advanced imaging data and outcome of inflammatory and neoplastic orbital disease in 81 dogs and 16 cats in Australia (2010–2019)

2021 ◽  
Author(s):  
Sarah M. Coall ◽  
Johana E. Premont ◽  
Katharina Flatz ◽  
Kate Hindley ◽  
Allyson Groth ◽  
...  
Keyword(s):  
Imaging Data ◽  
Advanced Imaging ◽  
Orbital Disease

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

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.

Cleavage of Human Embryos: Options and Diversity

Acta Naturae ◽  
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.

Analytical Study on Big Data

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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