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DICOM Medical Image Management the challenges and solutions: Cloud as a Service (CaaS)

G. Patel
2012 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)  
Besides, DICOM images databases in cloud are very dynamic and scalable [2].  ...  It is intended to provide cloud computing architecture model of digital images managements in cloud systems. Section four discusses for DICOM imaging solutions and application management.  ...  RIS/PACS server for storage: PACS server is a medical imaging technology which provides economical storage of, access to your Cloud PACS from any web connected computers, unlimited access to your stored  ... 
doi:10.1109/icccnt.2012.6396083 fatcat:4kfygbhk2rgirjynqqyryswjlm

Architectures of DICOM based PACS for JPEG2000 medical image streaming

Dragan Dinu, Dragan Ivetic
2009 Computer Science and Information Systems  
Delivering of medical image content to mobile/embedded devices with low storage and processing capabilities and low resolution displays is a challenging, but important task for achieving ubiquitous computing  ...  In this paper communication architectures of DICOM2000 based PACS are compared with the common architectures of DICOM based PACS.  ...  consulting," No. 13013, supported by the government of Republic of Serbia, 2006. -2010. 7.  ... 
doi:10.2298/csis0901185d fatcat:lpikntk3tjfdpm65fmhefpa4hu

A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing

Gabriele Piantadosi, Stefano Marrone, Mario Sansone, Carlo Sansone
2015 Journal of Reliable Intelligent Environments  
In order to assess the feasibility of our proposal, we developed a case study in the context of an image-based medical diagnostic environment.  ...  Following this trend, in this work we propose an architecture for advanced remote data processing in a secure, smart and versatile client-server environment that is capable of integrating pre-existing  ...  Antonella Petrillo, Head of Division of Radiology, Department of Diagnostic Imaging, Radiant and Metabolic Therapy, "Istituto Nazionale dei Tumori Fondazione G.  ... 
doi:10.1007/s40860-015-0007-1 fatcat:pk5k2yqrfrglfoktxbh27luldq

A scalable, distributed middleware service architecture to support mobile internet applications

Thomas Phan, Richard Guy, Rajive Bagrodia
2001 Proceedings of the first workshop on Wireless mobile internet - WMI '01  
We detail protocols involved in performing handoff and analyse an implementation of the architecture that supports the use of a real medical teaching tool.  ...  We show that this service layer improves the scalability of general client-to-application server interaction as well as the specific case of application session handoff.  ...  Graphical images are stored at the AS in a special proprietary medical format called PACS [24] and must be processed to form a Java Image object.  ... 
doi:10.1145/381472.381563 dblp:conf/wmi/PhanGB01 fatcat:jtentwtusbfrhbfozcohet2avm

A medical image archive solution in the cloud

Chia-Chi Teng, Jonathan Mitchell, Christopher Walker, Alex Swan, Cesar Davila, David Howard, Travis Needham
2010 2010 IEEE International Conference on Software Engineering and Service Sciences  
Cloud computing promises lower cost, high scalability, availability and disaster recoverability which can be a natural solution some of the problems we faced for long-term medical image archive.  ...  Growing long-term cost of managing an onsite medical imaging archive has been a subject which the health care industry struggles with.  ...  The high volume of medical images is leading to scalability and maintenance issues with healthcare providers' onsite picture archiving and communication system (PACS) and network.  ... 
doi:10.1109/icsess.2010.5552343 fatcat:osokt42nqnd7hmcdlv5uhs3k34

Efficient image browsing with JPEG2000 internet protocol

Mehran Moshfeghi, Jimmy Ta, Osman M. Ratib, H. K. Huang
2004 Medical Imaging 2004: PACS and Imaging Informatics  
A prototype JPIP client/server implementation is used to demonstrate resolution scalability, quality scalability and spatial random access of medical images.  ...  JPIP is tightly coupled to JPEG2000 and provides a powerful and flexible client-server architecture.  ...  Figure 3 provides an overview of a JPIP client-server architecture.  ... 
doi:10.1117/12.534483 fatcat:3jeleczl2jezzfvw4kjfmrdtoq

WebPresent: a World Wide Web-based telepresentation tool for physicians

Srihari Sampath-Kumar, Anindo Banerjea, Mehran Moshfeghi, Yongmin Kim
1997 Medical Imaging 1997: Image Display  
WebPresent is a scalable networked multimedia tool which supports the presentation of hypertext, images, audio, video, and a white-board to remote physicians with hospital Intranet access.  ...  This tool allows a physician to use a conference server workstation and make a presentation of patient cases to a geographically distributed audience.  ...  Strengths Of Our Design Our approach for medical conferencing has a number of advantages: • Scalability: Our design is scalable to a large number of remote workstations.  ... 
doi:10.1117/12.273927 dblp:conf/miip/Sampath-KumarBM97 fatcat:2n774csgwvbfthe4rzwprdzjni

On Distributed Collaboration for Biomedical Analyses

Fatima-Zahra Boujdad, Alban Gaignard, Mario Sudholt, Wilmer Garzon-Alfonso, Luis Daniel Benavides Navarro, Richard Redon
2019 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)  
We present a set of distributed architectures for such analyses that we have derived from discussions with different medical research groups and a study of related work.  ...  Finally, we illustrate that these architectures can serve as the basis of a development method for biomedical distributed analyses.  ...  First, medical imaging data must be transferred between two sites, which often represent a waste of time, energy and raises security risks.  ... 
doi:10.1109/ccgrid.2019.00079 dblp:conf/ccgrid/BoujdadGSANR19 fatcat:afij4ahqyngfxnevrhrn5uqruq

Addressing the Memory Bottleneck in AI Model Training [article]

David Ojika, Bhavesh Patel, G. Anthony Reina, Trent Boyer, Chad Martin, Prashant Shah
2020 arXiv   pre-print
Using medical imaging as case-study, we demonstrate how Intel-optimized TensorFlow on an x86-based server equipped with 2nd Generation Intel Xeon Scalable Processors with large system memory allows for  ...  the training of memory-intensive AI/deep-learning models in a scale-up server configuration.  ...  A high-memory CPU-based server solution (e.g., 2 nd Generation Intel Xeon Scalable Processors), present an attractive architecture for addressing the compute and memory requirement of 3D semantic segmentation  ... 
arXiv:2003.08732v1 fatcat:wgbekhtkzjhnjakuc2kuqtb2je

Circumventing Picture Archiving and Communication Systems Server with Hadoop Framework in Health Care Services

2010 Journal of Social Sciences (New York, N.Y.)  
Results: The PACS server was highlighted in Health Care System with primary Functions of DICOM and basic operations of query, retrieval and routing were performed on various images.  ...  Problem statement: Features and challenges of the PACS server solutions are elaborated in the context of large scale computing.  ...  Query is defined as searching a database of imaging examinations using various criteria, such as patient name or medical record number.  ... 
doi:10.3844/jssp.2010.310.314 fatcat:2hjwmlrxlvgc7ghikd76sch724

Obstetric imaging diagnostic platform based on cloud computing technology under the background of smart medical big data and deep learning

Weiwei Li, Bing Jiang, Wenjing Zhao
2020 IEEE Access  
Through the application of big data and deep learning technology, the diagnosis of artificial intelligence medical image can be realized, which provides a new opportunity for the automatic analysis of  ...  First, a medical imaging platform was designed by combining cloud computing technology, caching technology, and a distributed file system.  ...  high concurrency of medical image storage by a large number of different maternal images.  ... 
doi:10.1109/access.2020.2988563 fatcat:xwbskj7k2bfyndzsetae2u7ozi

Data Cafe - A Dynamic Data Warehousing System

Pradeeban Kathiravelu, Ashish Sharma
2017 Zenodo  
Medical data are of multi-modality consisting of various medical data including, clinical data, imaging data, and features computed through image analysis, consisting of demographics, treatment, and lab  ...  Medical data can be clinical, imaging, or genomic data. Imaging can further be of various types such as radiology, radiation therapy (RT), or pathology.  ... 
doi:10.5281/zenodo.844635 fatcat:d3dcvosqaff4fce7ln4m2w5hsy

The National Medical Knowledge Bank

Warren Sterling
1998 Very Large Data Bases Conference  
Also described are the applications of physician support, including case-based reasoning and image analysis for determining case similarity; virtual medical conferences; and initial/continuing medical  ...  The webbased architecture of the medical knowledge bank is presented, including the Teradata Multimedia Services, an object/relational database which serves as the central data repository for medical data  ...  Acknowledgments Work on portions of the National Medical Knowledge Bank outside the database has been performed by NCR Human Interface Technology Center.  ... 
dblp:conf/vldb/Sterling98 fatcat:z7grqoym2vfmdphvr6rfnib5ie

Distributed Object Medical Imaging Model [article]

Ahmad Shukri Mohd Noor, Md Yazid Md Saman
2009 arXiv   pre-print
Our research group has developed a Java-based Distributed Object Medical Imaging Model(DOMIM) to facilitate the rapid development and deployment of medical imaging applications in a distributed environment  ...  scalable system.  ...  Figure3: Distributed Object Medical Imaging Model (DOMIM) Architecture The back-end tier of the architecture involves the storage and retrieval of multimedia data on the database server.  ... 
arXiv:0910.1857v1 fatcat:torxxeybljgcbgicvwghmq2ddu

A Survey on Blockchain-based IoMT Systems: Towards Scalability

Amirhossein Adavoudi Jolfaei, Seyed Farhad Aghili, Dave Singelee
2021 IEEE Access  
Then, the proposed architecture is evaluated using medical images data. Also, the paper [59] proposed a novel blockchain-based deep learning for secure image transmission.  ...  explained various requirements of medical image retrieval. • privacy protection: As medical images are sensitive, the identification of the patients should not be revealed. • scalability: The system should  ... 
doi:10.1109/access.2021.3117662 fatcat:oaw35at76vhqhf7co3sf5ijb34
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