The document discusses vendor neutral archives (VNA) in PACS. A VNA decouples the PACS and workstations at the archival layer by receiving, integrating, and transmitting data using different DICOM formats. This allows healthcare facilities to change PACS vendors without difficulty migrating patient imaging data. When implementing a VNA, legacy data from the old PACS must be migrated. There are different techniques for migration, including simple DICOM migration, prefetch-based DICOM migration, and non-DICOM migration. VNAs help address issues around archiving such as switching vendors and integrating data between departments by storing information in open, standardized formats.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
Continuum Health Partners is a nonprofit hospital system in New York City comprising five hospitals that faced challenges providing multi-site data access and failover. They implemented DataCore software to create metro clusters storing data across two sites 10-20 miles apart to ensure continuous data availability even during outages. DataCore software synchronously mirrors critical medical imaging data between hospitals and Continuum's data center, allowing either site to failover seamlessly. This has provided unprecedented high availability and eliminated downtime, improving patient care.
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
In this Presentation we talk about :-
What is PACS (Picture Archiving and Communication System).
Functions carried out by PACS.
Storage Devices in PACS
RAID Techniques
Cloud Based PACS
Hanover Attains ‘Always on, Always up’ AvailabilityDataCore Software
Hanover Hospital has attained continuous uptime with DataCore SANsymphony-V deployed in a synchronous mirror configuration that ensures data redundancy. What’s
more, high-availability storage at Hanover has significantly reduced the time it takes to provision storage and systems. Bottom-line: Hanover Hospital has realized true
continuous availability to its critical data with DataCore. The hospital has also drastically reduced the time spent on routine storage tasks and has reduced storage costs – all
while increasing capacity utilization and increasing the performance of its applications.
Hitachi Data Systems provides storage solutions to help life sciences organizations address challenges from rapidly growing data volumes. Their solutions offer automated data migration between storage tiers to optimize storage utilization and improve computational workflow performance. Long-term data management needs are met through integrated archiving functionality allowing long-term retention of data as required by regulations.
Achieving Medical Imaging Interoperability with PACS and RIS IntegrationsChetu
Medical images can be difficult to access, though the adoption of technology solutions, industry standards, and APIs, however, are improving imaging interoperability.
https://www.slideshare.net/chetuInc/why-dicom-matters-for-your-ehr-and-medical-imaging-apps
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
Continuum Health Partners is a nonprofit hospital system in New York City comprising five hospitals that faced challenges providing multi-site data access and failover. They implemented DataCore software to create metro clusters storing data across two sites 10-20 miles apart to ensure continuous data availability even during outages. DataCore software synchronously mirrors critical medical imaging data between hospitals and Continuum's data center, allowing either site to failover seamlessly. This has provided unprecedented high availability and eliminated downtime, improving patient care.
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
In this Presentation we talk about :-
What is PACS (Picture Archiving and Communication System).
Functions carried out by PACS.
Storage Devices in PACS
RAID Techniques
Cloud Based PACS
Hanover Attains ‘Always on, Always up’ AvailabilityDataCore Software
Hanover Hospital has attained continuous uptime with DataCore SANsymphony-V deployed in a synchronous mirror configuration that ensures data redundancy. What’s
more, high-availability storage at Hanover has significantly reduced the time it takes to provision storage and systems. Bottom-line: Hanover Hospital has realized true
continuous availability to its critical data with DataCore. The hospital has also drastically reduced the time spent on routine storage tasks and has reduced storage costs – all
while increasing capacity utilization and increasing the performance of its applications.
Hitachi Data Systems provides storage solutions to help life sciences organizations address challenges from rapidly growing data volumes. Their solutions offer automated data migration between storage tiers to optimize storage utilization and improve computational workflow performance. Long-term data management needs are met through integrated archiving functionality allowing long-term retention of data as required by regulations.
Achieving Medical Imaging Interoperability with PACS and RIS IntegrationsChetu
Medical images can be difficult to access, though the adoption of technology solutions, industry standards, and APIs, however, are improving imaging interoperability.
https://www.slideshare.net/chetuInc/why-dicom-matters-for-your-ehr-and-medical-imaging-apps
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
ClearSky - Value to Manged Service Providers rbcummings
The document discusses ClearSky, a data storage and protection service that delivers primary storage, backup, and disaster recovery as an on-demand, multi-tenant service. It allows customers to pay for their data once and access it anywhere, on-premises or in the cloud. ClearSky helps reduce costs for MSPs by up to 50% by eliminating separate storage silos for primary, secondary, and DR and offering a consumption-based pricing model. It provides integrated primary storage, offsite backup, and DR in one service to help MSPs acquire more customers.
This document discusses the importance of data protection and business continuity planning given trends like increased virtualization, regulatory mandates around data governance, and greater dependency on IT systems. It notes that while disasters can be catastrophic, most downtime is actually caused by more common issues like equipment failures or human errors. The document then outlines the key components of an effective business continuity plan, with an emphasis on the importance of data recovery. It argues that storage virtualization can help improve data protection by providing integrated services for continuous data protection, replication, and testing in a single management interface. This simplifies configuration, reduces costs, and helps ensure successful recovery.
DICOM is a standard for digital imaging and communications in medicine. It was developed by NEMA and ACR to enable sharing of medical images and associated data between devices. DICOM defines formats for images, communication protocols, and a data model for medical imaging applications. It allows for storage, printing, distribution, and analysis of medical images through different systems.
The document outlines the structure and goals of the SHAMAN project. SHAMAN will develop a next-generation digital preservation framework and validate it through three application domains: scientific publishing, industrial design engineering, and e-science data. It will integrate new and legacy technologies to provide long-term preservation and access. The project consists of work packages, principal coordination areas, and integration and demonstration subprojects to develop components, conduct research, and evaluate the framework through use cases.
Privacy-Preserving Public Auditing for Regenerating-Code-Based Cloud Storage1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Challenges of Automating Radiology with an Open Source SolutionMedsphere
The presentation included some discussion of the VistA Imaging product, need within the community for a PACS solution, Radiology automation/worklist queuing, Autofaxing system (including technical details on integrating with Hylafax), and closed with a tip on customizing the Medsphere.org interface to be more useful to individual needs.
When: November 20, 12:30 - 2pm Pacific
Where: Dial-in: (888) 346-3950 // Participant Code: 1302465
Web conference: http://www.medsphere.com/infinite/
What: Challenges of Automating Radiology with an Open Source Solution
- Introduction
Solutions:
- Integrating PACS to RIS
- Radiology Worklist and Flow Monitoring
- Autofax
- Autofax Under the Hood
- Open Discussion
- Medsphere.org Tip of the Month
Details and Recording available from here: http://medsphere.org/blogs/events/2008/11/20/community-call-november-2008
Dicom Technology....Digital Imaging and Communications in Medicine (DICOM) is a standard for handling, storing, printing, and transmitting information in medical imaging. It includes a file format definition and a network communications protocol. The communication protocol is an application protocol that uses TCP/IP to communicate between systems.
Secure and Efficient Client and Server Side Data Deduplication to Reduce Stor...dbpublications
Duplication of data in storage systems is becoming increasingly common problem. The system introduces I/O Deduplication, a storage optimization that utilizes content similarity for improving I/O performance by eliminating I/O operations and reducing the mechanical delays during I/O operations and shares data with existing users if Deduplication found on the client or server side. I/O Deduplication consists of three main techniques: content-based caching, dynamic replica retrieval and selective duplication. Each of these techniques is motivated by our observations with I/O workload traces obtained from actively-used production storage systems, all of which revealed surprisingly high levels of content similarity for both stored and accessed data.
Cloud computing is widely considered as potentially the next dominant technology in IT industry. It
offers basic system maintenance and scalable source management with Virtual Machines (VMs). As a essential
technology of cloud computing, VM has been a searing research issue in recent years. The high overhead of
virtualization has been well address by hardware expansion in CPU industry, and by software realization
improvement in hypervisors themselves. However, the high order on VM image storage remains a difficult
problem. Existing systems have made efforts to decrease VM image storage consumption by means of
deduplication inside a storage area network system. Nevertheless, storage area network cannot assure the
increasing demand of large-scale VM hosting for cloud computing because of its cost limitation. In this project,
we propose SILO, improved deduplication file system that has been particularly designed for major VM
deployment. Its design provide fast VM deployment with similarity and locality based fingerprint index for data
transfer and low storage consumption by means of deduplication on VM images. And implement heart beat
protocol in Meta Data Server (MDS) to recover the data from data server. It also provides a comprehensive set of
storage features including backup server for VM images, on-demand attractive through a network, and caching
through local disks by copy-on-read techniques. Experiments show that SILO features execute well and introduce
minor performance overhead.
Keywords — Deduplication, Storage area network, Load Balancing, Hash table, Disk copies.
LABORATORY INFORMATION SYSTEM RADIOLOGY INFORMATION SYSTEMAj Raj
The document discusses laboratory information systems (LIS) and radiology information systems (RIS). LIS are used to manage data from laboratory instruments and tests, while RIS are used to manage radiology workflow and imaging data. Both systems aim to optimize operations through electronic data collection, analysis, and reporting. They integrate with other systems and aim to streamline processes like test ordering, results reporting, and image storage and retrieval. Picture archiving and communication systems (PACS) are also discussed as a key part of RIS for storing and sharing medical images across a healthcare system.
The document describes iDedup, a system for performing inline data deduplication on primary storage systems while minimizing performance impacts. It leverages two insights about duplicated data in real-world workloads: 1) spatial locality exists where duplicated data occurs in sequences of disk blocks, and 2) temporal locality exists where duplicated data is accessed repeatedly close in time. The system performs selective deduplication of block sequences to reduce fragmentation and seeks during reads. It also replaces expensive on-disk deduplication metadata with a smaller in-memory fingerprint cache to reduce writes. Evaluation shows the system achieves 60-70% deduplication with less than 5% CPU overhead and 2-4% increased latency.
This document discusses the challenges that healthcare networks face from rapid changes in applications like electronic medical records and wireless patient monitoring. It summarizes how Brocade networking solutions address these challenges by providing increased reliability, performance, security and flexibility across edge, aggregation and core network layers. Specifically, Brocade products support high-density connectivity, power-over-Ethernet, quality of service, virtual LAN segmentation, encryption and integrated wireless security. This enables hospitals to effectively transition to digital records, meet regulations, increase staff productivity with mobility and expand imaging access while controlling costs.
Logical replication allows migration between different hardware, operating systems, and Oracle versions with minimal downtime. It works by reading the redo logs of the source database in real time and applying the changes to the target database. Some preparation is required, such as testing and validating the migration. If issues occur during cutover to the 12c target, the original production system remains intact with no data risk. Logical replication provides an effective method for migrating to Oracle 12c with zero or near-zero downtime.
The Case Study highlights Mistral’s expertise in the architecture and design of a custom hybrid system that supports two industry standard bus architectures VME and VPX, to meet the requirements of input/output signals, communication links, processing capability and data transfer capability.
Project DRAC: Creating an applications-aware networkTal Lavian Ph.D.
Intelligent networking and the ability for applications to more effectively use all of the network’s capability, rather than just the transport “pipe,” have been elusive. Until now. Nortel has developed a proof-of-concept software capability — service-mediation “middleware” called the Dynamic Resource Allocation Controller (DRAC) — that runs on any Java platform and opens up the network to applications with proper credentials,making available all of the properties of a converged network, including service topology, time-of-day reservations, and interdomain connectivity options. With a more open network, applications can directly provision and invoke services, with no need for operator involvement or point-and click sessions. In its first real-world demonstrations in large research networks, DRAC is showing it can improve user satisfaction while reducing network operations and investment costs.
This document discusses approaches to collecting patient data, specifically modular/disparate systems versus a single integrated system. Modular systems, like separate EDC and ePRO platforms, require costly integration work including data mapping, testing, and validation. A single system that houses EDC and ePRO technologies can eliminate integration challenges by defining data elements once and sharing common definitions. The document provides an example of a single system, the Acceliant eClinical Suite, that manages both EDC and ePRO within a unified data warehouse and interface.
Whitepaper : The Bridge From PACS to VNA: Scale Out Storage EMC
This whitepaper discusses how a vendor-neutral archive (VNA) for image archive and management requires a phased storage approach due to the capital and operational expenditures involved. The EMC Isilon scale-out approach provides a simple, predictable, and manageable path from PACS (Picture Archiving and Communications System) to VNA.
IRJET- A Survey on Remote Data Possession Verification Protocol in Cloud StorageIRJET Journal
This document summarizes a survey on remote data possession verification protocols for cloud storage. It begins with an abstract describing the problem of verifying integrity of outsourced data files on remote cloud servers. It then provides background on remote data possession verification (RDPV) protocols and discusses related work on ensuring data integrity and supporting dynamic operations. The document describes the system framework, RDPV protocol, use of homomorphic hash functions, and an optimized implementation using an operation record table to efficiently support dynamic operations like modifications. It concludes that the presented efficient and secure RDPV protocol is suitable for cloud storage applications.
A DDS-Based Scalable and Reconfigurable Framework for Cyber-Physical Systemsijseajournal
Cyber-Physical Systems (CPSs) involve the interconnection of heterogeneous computing devices which are
closely integrated with the physical processes under control. Often, these systems are resource-constrained
and require specific features such as the ability to adapt in a timeliness and efficient fashion to dynamic
environments. Also, they must support fault tolerance and avoid single points of failure. This paper
describes a scalable framework for CPSs based on the OMG DDS standard. The proposed solution allows
reconfiguring this kind of systems at run-time and managing efficiently their resources.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
ClearSky - Value to Manged Service Providers rbcummings
The document discusses ClearSky, a data storage and protection service that delivers primary storage, backup, and disaster recovery as an on-demand, multi-tenant service. It allows customers to pay for their data once and access it anywhere, on-premises or in the cloud. ClearSky helps reduce costs for MSPs by up to 50% by eliminating separate storage silos for primary, secondary, and DR and offering a consumption-based pricing model. It provides integrated primary storage, offsite backup, and DR in one service to help MSPs acquire more customers.
This document discusses the importance of data protection and business continuity planning given trends like increased virtualization, regulatory mandates around data governance, and greater dependency on IT systems. It notes that while disasters can be catastrophic, most downtime is actually caused by more common issues like equipment failures or human errors. The document then outlines the key components of an effective business continuity plan, with an emphasis on the importance of data recovery. It argues that storage virtualization can help improve data protection by providing integrated services for continuous data protection, replication, and testing in a single management interface. This simplifies configuration, reduces costs, and helps ensure successful recovery.
DICOM is a standard for digital imaging and communications in medicine. It was developed by NEMA and ACR to enable sharing of medical images and associated data between devices. DICOM defines formats for images, communication protocols, and a data model for medical imaging applications. It allows for storage, printing, distribution, and analysis of medical images through different systems.
The document outlines the structure and goals of the SHAMAN project. SHAMAN will develop a next-generation digital preservation framework and validate it through three application domains: scientific publishing, industrial design engineering, and e-science data. It will integrate new and legacy technologies to provide long-term preservation and access. The project consists of work packages, principal coordination areas, and integration and demonstration subprojects to develop components, conduct research, and evaluate the framework through use cases.
Privacy-Preserving Public Auditing for Regenerating-Code-Based Cloud Storage1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Challenges of Automating Radiology with an Open Source SolutionMedsphere
The presentation included some discussion of the VistA Imaging product, need within the community for a PACS solution, Radiology automation/worklist queuing, Autofaxing system (including technical details on integrating with Hylafax), and closed with a tip on customizing the Medsphere.org interface to be more useful to individual needs.
When: November 20, 12:30 - 2pm Pacific
Where: Dial-in: (888) 346-3950 // Participant Code: 1302465
Web conference: http://www.medsphere.com/infinite/
What: Challenges of Automating Radiology with an Open Source Solution
- Introduction
Solutions:
- Integrating PACS to RIS
- Radiology Worklist and Flow Monitoring
- Autofax
- Autofax Under the Hood
- Open Discussion
- Medsphere.org Tip of the Month
Details and Recording available from here: http://medsphere.org/blogs/events/2008/11/20/community-call-november-2008
Dicom Technology....Digital Imaging and Communications in Medicine (DICOM) is a standard for handling, storing, printing, and transmitting information in medical imaging. It includes a file format definition and a network communications protocol. The communication protocol is an application protocol that uses TCP/IP to communicate between systems.
Secure and Efficient Client and Server Side Data Deduplication to Reduce Stor...dbpublications
Duplication of data in storage systems is becoming increasingly common problem. The system introduces I/O Deduplication, a storage optimization that utilizes content similarity for improving I/O performance by eliminating I/O operations and reducing the mechanical delays during I/O operations and shares data with existing users if Deduplication found on the client or server side. I/O Deduplication consists of three main techniques: content-based caching, dynamic replica retrieval and selective duplication. Each of these techniques is motivated by our observations with I/O workload traces obtained from actively-used production storage systems, all of which revealed surprisingly high levels of content similarity for both stored and accessed data.
Cloud computing is widely considered as potentially the next dominant technology in IT industry. It
offers basic system maintenance and scalable source management with Virtual Machines (VMs). As a essential
technology of cloud computing, VM has been a searing research issue in recent years. The high overhead of
virtualization has been well address by hardware expansion in CPU industry, and by software realization
improvement in hypervisors themselves. However, the high order on VM image storage remains a difficult
problem. Existing systems have made efforts to decrease VM image storage consumption by means of
deduplication inside a storage area network system. Nevertheless, storage area network cannot assure the
increasing demand of large-scale VM hosting for cloud computing because of its cost limitation. In this project,
we propose SILO, improved deduplication file system that has been particularly designed for major VM
deployment. Its design provide fast VM deployment with similarity and locality based fingerprint index for data
transfer and low storage consumption by means of deduplication on VM images. And implement heart beat
protocol in Meta Data Server (MDS) to recover the data from data server. It also provides a comprehensive set of
storage features including backup server for VM images, on-demand attractive through a network, and caching
through local disks by copy-on-read techniques. Experiments show that SILO features execute well and introduce
minor performance overhead.
Keywords — Deduplication, Storage area network, Load Balancing, Hash table, Disk copies.
LABORATORY INFORMATION SYSTEM RADIOLOGY INFORMATION SYSTEMAj Raj
The document discusses laboratory information systems (LIS) and radiology information systems (RIS). LIS are used to manage data from laboratory instruments and tests, while RIS are used to manage radiology workflow and imaging data. Both systems aim to optimize operations through electronic data collection, analysis, and reporting. They integrate with other systems and aim to streamline processes like test ordering, results reporting, and image storage and retrieval. Picture archiving and communication systems (PACS) are also discussed as a key part of RIS for storing and sharing medical images across a healthcare system.
The document describes iDedup, a system for performing inline data deduplication on primary storage systems while minimizing performance impacts. It leverages two insights about duplicated data in real-world workloads: 1) spatial locality exists where duplicated data occurs in sequences of disk blocks, and 2) temporal locality exists where duplicated data is accessed repeatedly close in time. The system performs selective deduplication of block sequences to reduce fragmentation and seeks during reads. It also replaces expensive on-disk deduplication metadata with a smaller in-memory fingerprint cache to reduce writes. Evaluation shows the system achieves 60-70% deduplication with less than 5% CPU overhead and 2-4% increased latency.
This document discusses the challenges that healthcare networks face from rapid changes in applications like electronic medical records and wireless patient monitoring. It summarizes how Brocade networking solutions address these challenges by providing increased reliability, performance, security and flexibility across edge, aggregation and core network layers. Specifically, Brocade products support high-density connectivity, power-over-Ethernet, quality of service, virtual LAN segmentation, encryption and integrated wireless security. This enables hospitals to effectively transition to digital records, meet regulations, increase staff productivity with mobility and expand imaging access while controlling costs.
Logical replication allows migration between different hardware, operating systems, and Oracle versions with minimal downtime. It works by reading the redo logs of the source database in real time and applying the changes to the target database. Some preparation is required, such as testing and validating the migration. If issues occur during cutover to the 12c target, the original production system remains intact with no data risk. Logical replication provides an effective method for migrating to Oracle 12c with zero or near-zero downtime.
The Case Study highlights Mistral’s expertise in the architecture and design of a custom hybrid system that supports two industry standard bus architectures VME and VPX, to meet the requirements of input/output signals, communication links, processing capability and data transfer capability.
Project DRAC: Creating an applications-aware networkTal Lavian Ph.D.
Intelligent networking and the ability for applications to more effectively use all of the network’s capability, rather than just the transport “pipe,” have been elusive. Until now. Nortel has developed a proof-of-concept software capability — service-mediation “middleware” called the Dynamic Resource Allocation Controller (DRAC) — that runs on any Java platform and opens up the network to applications with proper credentials,making available all of the properties of a converged network, including service topology, time-of-day reservations, and interdomain connectivity options. With a more open network, applications can directly provision and invoke services, with no need for operator involvement or point-and click sessions. In its first real-world demonstrations in large research networks, DRAC is showing it can improve user satisfaction while reducing network operations and investment costs.
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Indian Journal Radiololy Imaging VNA Article
1. ISSN 0971-3026
THE INDIAN JOURNAL
of RADIOLOGY AND IMAGING
Volume 22 Issue 4 November 2012
The Official Journal of the
Indian Radiological and Imaging Association
Online full text at www.ijri.org
The Indian Journal of Radiology and Imaging • Volume 22 • Issue 4 • November 2012 • Pages 00-00**
2. Computers in Radiology
Vendor neutral archive in PACS
Tapesh Kumar Agarwal, Sanjeev
Meddiff Technologies Pvt. Ltd., Bangalore, India
Correspondence: Mr. Sanjeev, Salarpuria Palladium, 3rd Floor, Indirangar, Bangalore, India. E‑mail: sanjeev@meddiff.com
Abstract
An archive is a location containing a collection of records, documents, or other materials of historical importance. An integral part of
Picture Archiving and Communication System (PACS) is archiving. When a hospital needs to migrate a PACS vendor, the complete
earlier data need to be migrated in the format of the newly procured PACS. It is both time and money consuming. To address this
issue, the new concept of vendor neutral archive (VNA) has emerged. A VNA simply decouples the PACS and workstations at the
archival layer. This is achieved by developing an application engine that receives, integrates, and transmits the data using the
different syntax of a Digital Imaging and Communication in Medicine (DICOM) format. Transferring the data belonging to the old
PACS to a new one is performed by a process called migration of data. In VNA, a number of different data migration techniques are
available to facilitate transfer from the old PACS to the new one, the choice depending on the speed of migration and the importance
of data. The techniques include simple DICOM migration, prefetch‑based DICOM migration, medium migration, and the expensive
non‑DICOM migration. “Vendor neutral” may not be a suitable term, and “architecture neutral,” “PACS neutral,” “content neutral,” or
“third‑party neutral” are probably better and preferred terms. Notwithstanding this, the VNA acronym has come to stay in both the
medical IT user terminology and in vendor nomenclature, and radiologists need to be aware of its impact in PACS across the globe.
Key words: Archive; content neutral; architecture neutral; archival layer; data migration; DICOM; non‑DICOM migration; PACS;
PACS neutral; PACS vendor; patient data; third‑party neutral; vendor neutral archive; VNA; workstations
Vendor Neutral Archive in PACS
To understand the concept of Vendor Neutral Archive
(VNA), a look back into history is needed. Before standards
such as American College of Radiology (ACR), National
Electrical Manufacturers Association (NEMA), and Digital
Imaging and Communications in Medicine (DICOM)
entered the picture, modalities used to communicate
with other modalities and equipment only if they were
all manufactured and sold by the same vendor. Besides
the modality, important accessories such as the printer,
workstation, and PACS needed to be manufactured by the
same vendor if sharing data were to be possible. However,
with the introduction of standards and vendor conformance,
modalities of different vendors could communicate with
each other within a department, with seamless integration
enabling more efficient workflow.
Although this multivendor setup looked quite functional, a
serious problem arose if there was a need to change a PACS
vendor. The new vendor experienced difficulty in reading
the data stored at the server since the data in the storage
server were stored in a format that could be read only by
the earlier vendor.
Although this was bad enough, another problem was
integrating a PACS installed in the radiology department
with a PACS installed in, say, the cardiology department.
Even if both are DICOM compliant, making them
communicate with each other and share data are never
easy “plug and play” situation. Interoperability emerged
as a hugely contentious issue. This was when the concept of
VNA became increasingly accepted as a method to address
the practical problems in interoperability.
Archiving and its Challenges
An archive is a location containing a collection of records,
documents, or other materials of historical importance. In
the context of computers, it is generally a long‑term storage,
Access this article online
Quick Response Code:
Website:
www.ijri.org
DOI:
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242 Indian Journal of Radiology and Imaging / November 2012 / Vol 22 / Issue 4
3. Agarwal and Sanjeev: Vendor Neutral Archive in PACS
often on disks and tapes. Archiving is typically done in a
compressed format so that data are saved efficiently, using
less memory resources and allowing the whole process of
archiving to be executed rapidly. PACS can archive images
for several years: 3‑5 years is very common. PACS storage
has inbuilt mechanisms to take care of disk failures through
RAID (Redundant Array of Independent Disks, also called
inexpensive disks). Depending on the patient load, types
of modalities, and the duration for which the images are
to be stored, the storage size varies from terabytes (212) to
petabytes (215) or even exabytes (218) and zetabytes (221).
A few challenges present themselves in archiving.
A common misconception in archiving is “my PACS
is DICOM conformant and hence there will be no
interoperability problems.” The reality is that every PACS
has its own internal formats to store data and its inherent
proprietary methods to store image presentation states and
key image notes.
When a hospital needs to migrate a PACS vendor, the
complete earlier data need to be migrated in the format of
the new PACS.[1] This is both time‑ and money consuming.
Part of the problem occurs because DICOM is in reality a
cooperative standard and not an enforced one and hence
has limitations. Vendors make their own conformance
statements, which may or may not conform to all that
is expected of them and there may be a few gaps and
inconsistencies.
Inability of vendors to comply fully with their conformance
statements occurs occasionally. Such situations arise when
a vendor providing a detailed conformance standard
states that interoperability between their machine and
other vendors machine is the responsibility of the user
and not the vendor’s. Similarly, equipment may have
conformed to DICOM standards at testing and installation,
but subsequent non‑conformance when the standards
change is not the vendor’s responsibility. Data that are not
in conformance with DICOM standards—where the data
are in a format understood only by a specific vendor—are
called “dirty data.”[2]
Features of VNA
VNA is an application engine that handles the data of
a vendor and at a fast speed. It is stationed between the
modality and the PACS [Figure 1]. The imaging data are
pushed to VNA directly from the modality. Thereafter,
VNA forwards it to the PACS, along with the priors. VNA
stores the image presentation states and key image in
DICOM format.[3]
So what does VNA do? It simply decouples the PACS and
workstations at the archival layer.[4] Let us take a situation
where (a) the modality did not have a field in the Graphical
Figure 1: Vendor neutral archive (VNA) is stationed between the
modality and PACS. The imaging data is pushed to VNA directly from
the modality. Thereafter, VNA forwards it to PACS, along with the
priors. VNA stores the image presentation states and key image in
DICOM format
User Interface (GUI) to permit data entry for the technologist
and (b) the modality work list was not supported. In this
situation, there could be the possibility that the accession
number is entered into the study description field, and a
compulsory field in the DICOM header in front of the accession
number is left blank. This would cause problems not only in
efficient workflow but also in retrieval of images in the future.
To handle this problem, an application engine was
developed that would check the DICOM header for any
of the non‑conformances and automatically normalize the
DICOM tags and additionally, send the received DICOM
file in its original form. Another issue that one comes across
is that of non‑conformance of transfer syntax. Some of the
common ones being JPEG lossless, JPEG 2000 lossless, JPEG
2000, and Implicit VR Little Endian.
As the DICOM standard grows, more and more of syntax
are being added, with different vendors using different
ones. It is quite possible that two vendors, whose systems
are expected to be used together, use different syntax. This
problem is handled by developing an application engine
that receives the data using one kind of syntax and transmits
this data using the syntax of the target system.
Finally, the application engine needs to perform the above
two functions at a fast speed. Thus, it is stationed between
the modalities and the PACS and performs tag morphing
and routing. Table 1 outlines a list of ideal characteristics
of VNA and the advantages of VNA.
Post‑Implementation Issues in VNA
Migration of old data
When a department decides to implement VNA in a new
PACS, there remains the problem of legacy data lying within
the old PACS. Working with two different PACS systems
or two different databases running at the same time in a
department is an inefficient situation.
InInddiaiann J Joouurrnnaal lo of fR Raaddioiolologgyy a anndd I mImaagginingg / /M Naoyv e2m01b2e r/ 2V0o1l 2 2/ V/ Iosls 2u2e /2 Issue 4 243
4. Agarwal and Sanjeev: Vendor Neutral Archive in PACS
Table 1: Ideal characteristics and advantages of vendor neutral
archive
Ideal characteristics of VNA Advantages of VNA
As per US FDA it is a class one
medical device
Increased workflow efficiency, saving
time and labor
Includes lifecycle image
management
Allows switching PACS without requiring
a complex image/data migration; being
able to use the latest hardware technology
Manages images as well as other
related info, e.g., SR, PR, RT objects,
non‑DICOM, waveforms, pdf, etc
Effectively controlling data works as an
enterprise [Figure 2]
Supports IHE–query, storage, and
retrieval
Supports open standards
Supports multiple departments,
enterprise, and regional architecture
Allows PACS to be interchangable
VNA: Vendor neutral archive, FDA: Food and drug administration,
PACS: Picture archiving and communications system, SR: Structured reports,
PR: presentation states, RT: Radiation therapy, DICOM: Digital imaging and communications
in medicine IHE: Integrating the healthcare enterprise
Figure 2: Vendor neutral archive can work as enterprise archive for
all departments like radiology and cardiology, seamlessly integrating
their data
To address this, the data belonging to the old PACS are
transferred to the new one by a process called migration of
data. One important factor regarding migration is the way
the data are archived. A few PACS vendors archive images
using the plain and simple DICOM formats. Many alter the
process in a proprietary way: They may either compress
data with a proprietary algorithm or put certain types of
flags on specific studies.
Techniques in migration of old data
There are a number of different data migration techniques.[5]
The choices depend on the speed with which the data need
to be migrated and how important the data are once they
are migrated.
i. One technique is to perform a simple DICOM migration
from the old system to the new one. The speed with
which this will happen will primarily depend on the
old PACS. Expectedly, simultaneous clinical usage will
slow down the migration process.
ii. A second technique is to perform a DICOM migration
based on prefetch. The migration engine is connected
to the active Radiology Information System (RIS) and
as orders are entered, a prefetch begins from the old
PACS storage, making those studies that will act as
priors, thereby facilitating the migration of the old
PACS. Importantly, there is no interference with clinic
or radiological workflow.
iii. The third option is medium migration. This is useful
when the earlier PACS used tapes or jukebox as a
medium for its long‑term archive. In such scenarios, the
tapes, jukeboxes, etc., are handed over to the migration
vendor for migration. Though the method can be fast,
it will not have data records available for review or
prefetch.
iv. The fourth and the most expensive methodology is
performing a non‑DICOM migration—moving the raw
database and image sets of the old archive.
Has the problems related to archiving shifted?
The recent arrival and immediate acceptance of VNA raises
an important question. Are departments now stuck with a
VNA vendor? Initial experiences the world over indicate
that this may not be so. Rather, VNA advantageously
ensures the following:
i. All files are stored in a compatible DICOM 3.0 format.
ii. The DICOM DIR format is utilized to store data in VNA.
iii. The database schema is, importantly, open and shared
with the customer. The customer additionally has the
option to choose a preferred database (e.g., Oracle, DB2,
My SQL, etc.) for the VNA.
iv. The customer can write their own applications and
adapters. They can pull and push images in EMR, HIS,
etc., conveniently, using VNA
Differences Between DICOM Archive and
VNA
There are few differences between archiving as DICOM and
VNA even though they both fulfill the basic needs of storage.
i. VNA is able to perform “context management.” This
term denotes the ability of VNAs to present data in a
format that is different from the original stored format.
ii. DICOM archive does not interface with RIS and/or HIS,
whereas VNA can be interfaced with RIS and/or HIS.
iii. DICOM archive stores only DICOM objects, whereas
VNA stores DICOM objects as well as non‑DICOM
objects such as from.pdf, scanned documents, etc.
Future of Archiving with VNA
In the end, VNA is an archive that has been developed on an
open architecture. It can be easily migrated, ported to interface
with another vendor’s viewing, acquisition, and workflow
engine to manage medical images and related information.[6,7]
Besides images sourced from radiology, the latest PACS
will allow storage of images from other sources such as
244 Indian Journal of Radiology and Imaging / November 2012 / Vol 22 / Issue 4
5. Agarwal and Sanjeev: Vendor Neutral Archive in PACS
endoscopes, opthalmoscopes, bronchoscopes, and from the
departments of dermatology, pathology, etc., An emerging
term for such images is “Visible Lights.”
Among the companies that have taken the lead in adoption
of the VNA architecture are Carestream, Acuo, Dejarnette,
Mach 7, Meddiff, Terra Medica, GE, etc., Some of the
storage companies such as EMC, IBM, HP, and Hitachi
have also come forward with their VNA‑based storage
solutions.
Summary
Finally, a section of industry believes that “vendor neutral”
may not be a suitable term to describe these significant
changes in archiving. The better and preferred term
may be “architecture neutral,” “PACS neutral,” “content
neutral,” or “third‑party neutral.” Notwithstanding
this, the VNA acronym has come to stay in both the
medical IT user’s jargon and in vendor nomenclature,
and radiologists need to be aware of its impact in PACS
across the globe.
References
1. Canrinus. Hospital finds Archiving simple and cost effective.
Maasstad Hospital, Rotterdam 2013. Available from: http://www.
diagnosticimaging.com. [Last accessed 2011 Sep 27].
2. Liberate your patient data with VNA Iron Mountain. 2011.
Available from: http://www.ironmountain.com. [Last accessed
2011 Sep 27].
3. Eran Galie‑Care Stream. White Paper – Vendor Neutral Archiving
for your enterprise. 2011. Available from: http://www carestream.
com. [Last accessed 2011 Sep 27].
4. Dejarnette WT. VNA 2009. 2011. Available from: http://www.
dejarnette.com. [Last accessed 2011 Sep 27].
5. XDS Karos Health. Migration on Demand. 2011. Available from:
http://www.karoshealth.com. [Last accessed 2011 Sep 27].
6. Michael Gray Nov. Cloud Infrastructure in VNA. 2010. Available
from: http://www.emc.com. [Last accessed 2011 Sep 27].
7. Dejarnette WT. Context management and tag morphing in the real
world. 2010. Available from: http://www.vendorneutralarchive.
com. [Last accessed 2011 Sep 27].
Cite this article as: Agarwal TK, Sanjeev. Vendor neutral archive in PACS.
Indian J Radiol Imaging 2012;22:242-5.
Source of Support: Nil, Conflict of Interest: None declared.
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