Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research

JCO Clinical Cancer Informatics ◽

10.1200/cci.19.00131 ◽

2020 ◽

pp. 336-345 ◽

Cited By ~ 2

Author(s):

Erik Ziegler ◽

Trinity Urban ◽

Danny Brown ◽

James Petts ◽

Steve D. Pieper ◽

...

Keyword(s):

Cancer Research ◽

Open Source ◽

Web Application ◽

Data Exchange ◽

Quantitative Imaging ◽

Third Party ◽

Web Based ◽

Web Architecture ◽

Imaging Research ◽

Commercial Applications

PURPOSE Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user’s computer. Benefits include decreased costs and information technology support requirements, as well as improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed to leverage these benefits and address the demand for open-source Web-based imaging applications. The platform can be modified to support site-specific workflows and accommodate evolving research requirements. MATERIALS AND METHODS The OHIF Viewer provides basic image review functionality (eg, image manipulation and measurement) as well as advanced visualization (eg, multiplanar reformatting). It is written as a client-only, single-page Web application that can easily be embedded into third-party applications or hosted as a standalone Web site. The platform provides extension points for software developers to include custom tools and adapt the system for their workflows. It is standards compliant and relies on DICOMweb for data exchange and OpenID Connect for authentication, but it can be configured to use any data source or authentication flow. Additionally, the user interface components are provided in a standalone component library so that developers can create custom extensions. RESULTS The OHIF Viewer and its underlying components have been widely adopted and integrated into multiple clinical research platforms (e,g Precision Imaging Metrics, XNAT, LabCAS, ISB-CGC) and commercial applications (eg, Osirix). It has also been used to build custom imaging applications (eg, ProstateCancer.ai, Crowds Cure Cancer [presented as a case study]). CONCLUSION The OHIF Viewer provides a flexible framework for building applications to support imaging research. Its adoption could reduce redundancies in software development for National Cancer Institute–funded projects, including Informatics Technology for Cancer Research and the Quantitative Imaging Network.

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An Open-Source Web-Based Tool for Resource-Agnostic Interactive Translation Prediction

Prague Bulletin of Mathematical Linguistics ◽

10.2478/pralin-2014-0015 ◽

2014 ◽

Vol 102 (1) ◽

pp. 69-80 ◽

Cited By ~ 2

Author(s):

Torregrosa Daniel ◽

Forcada Mikel L. ◽

Pérez-Ortiz Juan Antonio

Keyword(s):

Open Source ◽

Machine Translation ◽

Web Application ◽

Statistical Machine Translation ◽

Black Box ◽

Translation System ◽

Web Tool ◽

Web Based ◽

Strongly Coupled ◽

Machine Translation System

Abstract We present a web-based open-source tool for interactive translation prediction (ITP) and describe its underlying architecture. ITP systems assist human translators by making context-based computer-generated suggestions as they type. Most of the ITP systems in literature are strongly coupled with a statistical machine translation system that is conveniently adapted to provide the suggestions. Our system, however, follows a resource-agnostic approach and suggestions are obtained from any unmodified black-box bilingual resource. This paper reviews our ITP method and describes the architecture of Forecat, a web tool, partly based on the recent technology of web components, that eases the use of our ITP approach in any web application requiring this kind of translation assistance. We also evaluate the performance of our method when using an unmodified Moses-based statistical machine translation system as the bilingual resource.

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Framework Design for Modular Web-based Application Using Model-CollectionService-Controller-Presenter (MCCP) Pattern

Journal of Information Technology and Computer Science ◽

10.25126/jitecs.20172120 ◽

2017 ◽

Vol 2 (1) ◽

Author(s):

Aryo Pinandito

Keyword(s):

Information System ◽

Web Application ◽

Design Pattern ◽

Data Exchange ◽

Data Communication ◽

Communication Process ◽

Application Framework ◽

Application Development ◽

Web Based ◽

Organization Model

Information system is one of the most important business supports in organizations. Web-based applications become an appropriate solution to overcome the dynamically changing environment among different units in an organization. Model-View-Controller (MVC) is a well-known design pattern in web-based application development due to the separation of an application into several parts, hence it is easy to reuse and maintain. However, such design pattern requires improvements since the information system handles business process choreography and integration between application. Therefore, modifying the interaction of object of class in a design pattern become a challenging problem. In this paper, an application framework based on Model-CollectionService-Controller-Presenter (MCCP) design pattern, which is a modification of an MVC, was proposed. The proposed framework allows multiple different applications to run and provides inter-application data exchange mechanisms to improve the data communication process between applications. Several performance comparisons with another popular web application framework are also presented.

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Talking Avatar

International Journal of Technology and Human Interaction ◽

10.4018/ijthi.2019070101 ◽

2019 ◽

Vol 15 (3) ◽

pp. 1-13

Author(s):

Feng Ye ◽

Qian Huang ◽

Shengyan Wu ◽

Yong Chen

Keyword(s):

Web Application ◽

Cloud Service ◽

Interface Layer ◽

Cloud Services ◽

Third Party ◽

Web Based ◽

Data Layer ◽

Social Sharing ◽

Face Synthesis ◽

Talking Avatar

With the booming of the mobile computing and web technology, virtual and intelligent mobile applications become increasingly popular, e.g. web computing and web-based information retrieval. However, under contemporary network conditions and web application environment, it remains a challenging problem to achieve a trade-off between algorithm complexity and hardware performance. In this article, a Talking Avatar architecture is presented based on third-party cloud services. First, the authors propose a cloud service based multi-level layered software framework, which consists of user interface layer, business logic layer and data layer. Second, human face synthesis, speech conversion and social sharing schemes are introduced to integrate third-party cloud services. Third, experimental results on Android platforms indicate that the proposed Talking Avatar can be served efficiently in terms of memory consumption as well as average response time. In addition, stronger functions are provided compared with existing methods.

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OPEN SOURCE WEB-BASED SOLUTIONS FOR DISSEMINATING AND ANALYZING FLOOD HAZARD INFORMATION AT THE COMMUNITY LEVEL

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w7-91-2017 ◽

2017 ◽

Vol XLII-2/W7 ◽

pp. 91-97

Author(s):

M. M.-M.-Santillan ◽

J. R. Santillan ◽

E. M. O. Morales

Keyword(s):

Open Source ◽

Web Application ◽

Information Dissemination ◽

Flood Hazard ◽

Meteorological Data ◽

Simulation Models ◽

Web Based ◽

Household Level ◽

Systematic Assessment ◽

Web Mapping

We discuss in this paper the development, including the features and functionalities, of an open source web-based flood hazard information dissemination and analytical system called “Flood EViDEns”. Flood EViDEns is short for “Flood Event Visualization and Damage Estimations”, an application that was developed by the Caraga State University to address the needs of local disaster managers in the Caraga Region in Mindanao, Philippines in accessing timely and relevant flood hazard information before, during and after the occurrence of flood disasters at the community (i.e., barangay and household) level. The web application made use of various free/open source web mapping and visualization technologies (GeoServer, GeoDjango, OpenLayers, Bootstrap), various geospatial datasets including LiDAR-derived elevation and information products, hydro-meteorological data, and flood simulation models to visualize various scenarios of flooding and its associated damages to infrastructures. The Flood EViDEns application facilitates the release and utilization of this flood-related information through a user-friendly front end interface consisting of web map and tables. A public version of the application can be accessed at <a href="http://121.97.192.11:8082/"target="_blank">http://121.97.192.11:8082/</a>. The application is currently expanded to cover additional sites in Mindanao, Philippines through the “Geo-informatics for the Systematic Assessment of Flood Effects and Risks for a Resilient Mindanao” or the “Geo-SAFER Mindanao” Program.

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Multicenter Breast Cancer Collaborative Registry

Cancer Informatics ◽

10.4137/cin.s7845 ◽

2011 ◽

Vol 10 ◽

pp. CIN.S7845 ◽

Cited By ~ 6

Author(s):

Simon Sherman ◽

Oleg Shats ◽

Elizabeth Fleissner ◽

George Bascom ◽

Kevin Yiee ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Research ◽

Web Application ◽

Biomedical Informatics ◽

Controlled Vocabulary ◽

Snomed Ct ◽

Web Based ◽

Systematized Nomenclature Of Medicine ◽

Jsp Technology ◽

Web Based System

The Breast Cancer Collaborative Registry (BCCR) is a multicenter web-based system that efficiently collects and manages a variety of data on breast cancer (BC) patients and BC survivors. This registry is designed as a multi-tier web application that utilizes Java Servlet/JSP technology and has an Oracle 11g database as a back-end. The BCCR questionnaire has accommodated standards accepted in breast cancer research and healthcare. By harmonizing the controlled vocabulary with the NCI Thesaurus (NCIt) or Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT), the BCCR provides a standardized approach to data collection and reporting. The BCCR has been recently certified by the National Cancer Institute's Center for Biomedical Informatics and Information Technology (NCI CBIIT) as a cancer Biomedical Informatics Grid (caBIG®) Bronze Compatible product. The BCCR is aimed at facilitating rapid and uniform collection of critical information and biological samples to be used in developing diagnostic, prevention, treatment, and survivorship strategies against breast cancer. Currently, seven cancer institutions are participating in the BCCR that contains data on almost 900 subjects (BC patients and survivors, as well as individuals at high risk of getting BC).

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Mindcontrol: A Web Application for Brain Segmentation Quality Control

10.1101/090431 ◽

2016 ◽

Cited By ~ 1

Author(s):

Anisha Keshavan ◽

Esha Datta ◽

Ian McDonough ◽

Christopher R. Madan ◽

Kesshi Jordan ◽

...

Keyword(s):

Quality Control ◽

Open Source ◽

Neural Development ◽

Web Application ◽

Data Exchange ◽

Large Scale ◽

Imaging Biomarkers ◽

Imaging Data ◽

Tissue Classification ◽

Brain Volumes

AbstractTissue classification plays a crucial role in the investigation of normal neural development, brain-behavior relationships, and the disease mechanisms of many psychiatric and neurological illnesses. Ensuring the accuracy of tissue classification is important for quality research and, in particular, the translation of imaging biomarkers to clinical practice. Assessment with the human eye is vital to correct various errors inherent to all currently available segmentation algorithms. Manual quality assurance becomes methodologically difficult at a large scale - a problem of increasing importance as the number of data sets is on the rise. To make this process more efficient, we have developed Mindcontrol, an open-source web application for the collaborative quality control of neuroimaging processing outputs. The Mindcontrol platform consists of a dashboard to organize data, descriptive visualizations to explore the data, an imaging viewer, and an in-browser annotation and editing toolbox for data curation and quality control. Mindcontrol is flexible and can be configured for the outputs of any software package in any data organization structure. Example configurations for three large, open-source datasets are presented: the 1000 Functional Connectomes Project (FCP), the Consortium for Reliability and Reproducibility (CoRR), and the Autism Brain Imaging Data Exchange (ABIDE) Collection. These demo applications link descriptive quality control metrics, regional brain volumes, and thickness scalars to a 3D imaging viewer and editing module, resulting in an easy-to-implement quality control protocol that can be scaled for any size and complexity of study.

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An integrated web application for decision support and automation of EHR workflow: a case study of current challenges to standards-based messaging and scalability from the EMBED trial

JAMIA Open ◽

10.1093/jamiaopen/ooz053 ◽

2019 ◽

Vol 2 (4) ◽

pp. 434-439 ◽

Cited By ~ 2

Author(s):

Edward R Melnick ◽

Wesley C Holland ◽

Osama M Ahmed ◽

Anthony K Ma ◽

Sean S Michael ◽

...

Keyword(s):

Decision Support ◽

Web Application ◽

Web Applications ◽

Clinical Decision ◽

Opioid Use Disorder ◽

Third Party ◽

Opioid Use ◽

Web Based ◽

The Cost

Abstract Computerized clinical decision support (CDS) faces challenges to interoperability and scalability. Centralized, web-based solutions offer a mechanism to share the cost of CDS development, maintenance, and implementation across practices. Data standards have emerged to facilitate interoperability and rapid integration of such third-party CDS. This case report describes the challenges to implementation and scalability of an integrated, web-based CDS intervention for EMergency department-initiated BuprenorphinE for opioid use Disorder which will soon be evaluated in a trial across 20 sites in five healthcare systems. Due to limitations of current standards, security concerns, and the need for resource-intensive local customization, barriers persist related to centralized CDS at this scale. These challenges demonstrate the need and importance for future standards to support two-way messaging (read and write) between electronic health records and web applications, thus allowing for more robust sharing across health systems and decreasing redundant, resource-intensive CDS development at individual sites.

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An Interactive Tool to Forecast US Hospital Needs in the Coronavirus 2019 Pandemic

10.1101/2020.04.20.20073031 ◽

2020 ◽

Cited By ~ 1

Author(s):

Kenneth J. Locey ◽

Thomas A. Webb ◽

Jawad Khan ◽

Anuja K. Antony ◽

Bala Hota

Keyword(s):

Open Source ◽

Web Application ◽

Healthcare Workers ◽

Protective Equipment ◽

Large Set ◽

Specialized Knowledge ◽

Web Based ◽

Us States ◽

Forecast Data ◽

Hospital Visits

ABSTRACTHospital enterprises are currently faced with anticipating the spread of COVID-19 and the effects it will have on visits, admissions, bed needs, and crucial supplies. While many studies have focused on understanding the basic epidemiology of the disease, few open source tools have been made available to aid hospitals in their planning. We developed a web-based application (available at: http://covid19forecast.rush.edu/) for US states and territories that allows users to choose from a suite of models already employed in characterizing the spread of COVID-19. Users can obtain forecasts for hospital visits and admissions as well as anticipated needs for ICU and non-ICU beds, ventilators, and personal protective equipment supplies. Users can also customize a large set of inputs, view the variability in forecasts over time, and download forecast data. We describe our web application and its models in detail and provide recommendations and caveats for its use. Our application is primarily designed for hospital leaders, healthcare workers, and government official who may lack specialized knowledge in epidemiology and modeling. However, specialists can also use our open source code as a platform for modification and deeper study. As the dynamics of COVID-19 change, our application will also change to meet emerging needs of the healthcare community.

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