Efficient 3D rendering for web-based medical imaging software: a proof of concept

Author(s):  
Diego Cantor-Rivera ◽  
Robert Bartha ◽  
Terry Peters
2017 ◽  
Vol 48 (S 01) ◽  
pp. S1-S45 ◽  
Author(s):  
C. Anastasopoulos ◽  
M. Reisert ◽  
E. Kellner
Keyword(s):  

Author(s):  
B. Rasaiah ◽  
C. Bellman ◽  
R.D. Hewson ◽  
S. D. Jones ◽  
T. J. Malthus

Field spectroscopic metadata is a central component in the quality assurance, reliability, and discoverability of hyperspectral data and the products derived from it. Cataloguing, mining, and interoperability of these datasets rely upon the robustness of metadata protocols for field spectroscopy, and on the software architecture to support the exchange of these datasets. Currently no standard for in situ spectroscopy data or metadata protocols exist. This inhibits the effective sharing of growing volumes of in situ spectroscopy datasets, to exploit the benefits of integrating with the evolving range of data sharing platforms. A core metadataset for field spectroscopy was introduced by Rasaiah et al., (2011-2015) with extended support for specific applications. This paper presents a prototype model for an OGC and ISO compliant platform-independent metadata discovery service aligned to the specific requirements of field spectroscopy. In this study, a proof-of-concept metadata catalogue has been described and deployed in a cloud-based architecture as a demonstration of an operationalized field spectroscopy metadata standard and web-based discovery service.


10.28945/3201 ◽  
2008 ◽  
Author(s):  
Stephen Smith ◽  
Samuel Sambasivam

Electronic Data Capture (EDC) is increasingly being used in the pharmaceutical, biotech and medical device industries to gather research data worldwide from doctors, hospitals and universities participating in clinical trials. In this highly regulated environment, all systems and software must be thoroughly tested and validated, a task that is burdensome in terms of time and cost. Starting with database structures that are designed to be copied easily, this paper proposes a simple framework that allows for rapid development and minimal testing. The framework includes tools for building modules, for copying modules from one trial to the next, and tools to validate that the modules are the same as modules that have been fully tested previously. A proof-of-concept prototype has been built to demonstrate certain tools and techniques that can be used when designing and building a simplified EDC interface.


2014 ◽  
Vol 3 (3) ◽  
pp. 35-49 ◽  
Author(s):  
Jan Klimke ◽  
Benjamin Hagedorn ◽  
Jürgen Döllner

Virtual 3D city models provide powerful user interfaces for communication of 2D and 3D geoinformation. Providing high quality visualization of massive 3D geoinformation in a scalable, fast, and cost efficient manner is still a challenging task. Especially for mobile and web-based system environments, software and hardware configurations of target systems differ significantly. This makes it hard to provide fast, visually appealing renderings of 3D data throughout a variety of platforms and devices. Current mobile or web-based solutions for 3D visualization usually require raw 3D scene data such as triangle meshes together with textures delivered from server to client, what makes them strongly limited in terms of size and complexity of the models they can handle. This paper introduces a new approach for provisioning of massive, virtual 3D city models on different platforms namely web browsers, smartphones or tablets, by means of an interactive map assembled from artificial oblique image tiles. The key concept is to synthesize such images of a virtual 3D city model by a 3D rendering service in a preprocessing step. This service encapsulates model handling and 3D rendering techniques for high quality visualization of massive 3D models. By generating image tiles using this service, the 3D rendering process is shifted from the client side, which provides major advantages: (a) The complexity of the 3D city model data is decoupled from data transfer complexity (b) the implementation of client applications is simplified significantly as 3D rendering is encapsulated on server side (c) 3D city models can be easily deployed for and used by a large number of concurrent users, leading to a high degree of scalability of the overall approach. All core 3D rendering techniques are performed on a dedicated 3D rendering server, and thin-client applications can be compactly implemented for various devices and platforms.


2020 ◽  
pp. 153450842093778
Author(s):  
Panayiota Kendeou ◽  
Kristen L. McMaster ◽  
Reese Butterfuss ◽  
Jasmine Kim ◽  
Susan Slater ◽  
...  

The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in K–2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction videos coupled with questioning. We evaluated MIA’s technical adequacy in a proof-of-concept study. Taken together, the results support the interpretation that MIA shows promise as a valid and reliable measure of inferencing in a nonreading context for students in Grades K–2. Future directions involve further development of multiple, parallel forms that can be used for progress monitoring in K–2.


2017 ◽  
Vol 24 (5) ◽  
pp. 1105-1111 ◽  
Author(s):  
Yoann Sallaz-Damaz ◽  
Jean-Luc Ferrer

The beamline control software, through the associated graphical user interface (GUI), is the user access point to the experiment, interacting with synchrotron beamline components and providing automated routines. FIP, the French beamline for the Investigation of Proteins, is a highly automatized macromolecular crystallography (MX) beamline at the European Synchrotron Radiation Facility. On such a beamline, a significant number of users choose to control their experiment remotely. This is often performed with a limited bandwidth and from a large choice of computers and operating systems. Furthermore, this has to be possible in a rapidly evolving experimental environment, where new developments have to be easily integrated. To face these challenges, a light, platform-independent, control software and associated GUI are required. Here,WIFIP, a web-based user interface developed at FIP, is described. Further than being the present FIP control interface,WIFIPis also a proof of concept for future MX control software.


IRBM ◽  
2017 ◽  
Vol 38 (1) ◽  
pp. 3-12 ◽  
Author(s):  
C. Mata ◽  
A. Oliver ◽  
A. Lalande ◽  
P. Walker ◽  
J. Martí
Keyword(s):  

2012 ◽  
Vol 84 ◽  
pp. 144-154 ◽  
Author(s):  
Ilaria Pertot ◽  
Tsvi Kuflik ◽  
Igor Gordon ◽  
Stanley Freeman ◽  
Yigal Elad

10.2196/17078 ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. e17078
Author(s):  
John M Salsman ◽  
Laurie E McLouth ◽  
Michael Cohn ◽  
Janet A Tooze ◽  
Mia Sorkin ◽  
...  

Background Adolescent and young adult cancer survivors (AYAs) experience clinically significant distress and have limited access to supportive care services. Interventions to enhance psychological well-being have improved positive affect and reduced depression in clinical and healthy populations but have not been routinely tested in AYAs. Objective The aim of this protocol is to (1) test the feasibility and acceptability of a Web-based positive emotion skills intervention for posttreatment AYAs called Enhancing Management of Psychological Outcomes With Emotion Regulation (EMPOWER) and (2) examine proof of concept for reducing psychological distress and enhancing psychological well-being. Methods The intervention development and testing are taking place in 3 phases. In phase 1, we adapted the content of an existing, Web-based positive emotion intervention so that it would be suitable for AYAs. EMPOWER targets 8 skills (noticing positive events, capitalizing, gratitude, mindfulness, positive reappraisal, goal setting, personal strengths, and acts of kindness) and is delivered remotely as a 5-week, Web-based intervention. Phase 2 consisted of a pilot test of EMPOWER in a single-arm trial to evaluate feasibility, acceptability, retention, and adherence and to collect data on psychosocial outcomes for proof of concept. In phase 3, we are refining study procedures and conducting a second pilot test. Results The project was part of a career development award. Pilot work began in June 2015, and data collection was completed in March 2019. The analysis is ongoing, and results will be submitted for publication by May 2020. Conclusions If this intervention proves feasible and acceptable, EMPOWER will be primed for a subsequent large, multisite randomized controlled trial. As a scalable intervention, it will be ideally suited for AYA survivors who would otherwise not have access to supportive care interventions to help manage posttreatment distress and enhance well-being. Trial Registration ClinicalTrials.gov NCT02832154, https://clinicaltrials.gov/ct2/show/NCT02832154. International Registered Report Identifier (IRRID) DERR1-10.2196/17078


2015 ◽  
Vol 19 (89) ◽  
pp. 1-132 ◽  
Author(s):  
Sudhir Venkatesan ◽  
Puja R Myles ◽  
Gerard McCann ◽  
Antonis A Kousoulis ◽  
Maimoona Hashmi ◽  
...  

BackgroundDuring pandemics of novel influenza and outbreaks of emerging infections, surge in health-care demand can exceed capacity to provide normal standards of care. In such exceptional circumstances, triage tools may aid decisions in identifying people who are most likely to benefit from higher levels of care. Rapid research during the early phase of an outbreak should allow refinement and validation of triage tools so that in the event of surge a valid tool is available. The overarching study aim is to conduct a prospective near real-time analysis of structured clinical assessments of influenza-like illness (ILI) using primary care electronic health records (EHRs) during a pandemic. This abstract summarises the preparatory work, infrastructure development, user testing and proof-of-concept study.Objectives(1) In preparation for conducting rapid research in the early phase of a future outbreak, to develop processes that allow near real-time analysis of general practitioner (GP) assessments of people presenting with ILI, management decisions and patient outcomes. (2) As proof of concept: conduct a pilot study evaluating the performance of the triage tools ‘Community Assessment Tools’ and ‘Pandemic Medical Early Warning Score’ to predict hospital admission and death in patients presenting with ILI to GPs during inter-pandemic winter seasons.DesignProspective near real-time analysis of structured clinical assessments and anonymised linkage to data from EHRs. User experience was evaluated by semistructured interviews with participating GPs.SettingThirty GPs in England, Wales and Scotland, participating in the Clinical Practice Research Datalink.ParticipantsAll people presenting with ILI.InterventionsNone.Main outcome measuresStudy outcome is proof of concept through demonstration of data capture and near real-time analysis. Primary patient outcomes were hospital admission within 24 hours and death (all causes) within 30 days of GP assessment. Secondary patient outcomes included GP decision to prescribe antibiotics and/or influenza-specific antiviral drugs and/or refer to hospital – if admitted, the need for higher levels of care and length of hospital stay.Data sourcesLinked anonymised data from a web-based structured clinical assessment and primary care EHRs.ResultsIn the 24 months to April 2015, data from 704 adult and 159 child consultations by 30 GPs were captured. GPs referred 11 (1.6%) adults and six (3.8%) children to hospital. There were 13 (1.8%) deaths of adults and two (1.3%) of children. There were too few outcome events to draw any conclusions regarding the performance of the triage tools. GP interviews showed that although there were some difficulties with installation, the web-based data collection tool was quick and easy to use. Some GPs felt that a minimal monetary incentive would promote participation.ConclusionsWe have developed processes that allow capture and near real-time automated analysis of GP’s clinical assessments and management decisions of people presenting with ILI.Future workWe will develop processes to include other EHR systems, attempt linkage to data on influenza surveillance and maintain processes in readiness for a future outbreak.Study registrationThis study is registered as ISRCTN87130712 and UK Clinical Research Network 12827.FundingThe National Institute for Health Research Health Technology Assessment programme. MGS is supported by the UK NIHR Health Protection Research Unit in Emerging and Zoonotic Infections.


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