Literature DB >> 21748411

Using an open-source PACS virtual machine for a digital angiography unit: methods and initial impressions.

George C Kagadis1, Christos Alexakos, Steve G Langer, Todd French.   

Abstract

The productivity gains, diagnostic benefit, and enhanced data availability to clinicians enabled by picture archiving and communication systems (PACS) are no longer in doubt. However, commercial PACS offerings are often extremely expensive initially and require ongoing support contracts with vendors to maintain them. Recently, several open-source offerings have become available that put PACS within reach of more users. However, they can be resource-intensive to install and assure that they have room for future growth--both for computational and storage capacity. An alternate approach, which we describe herein, is to use PACS built on virtual machines which can be moved from smaller to larger hardware as needed in a just-in-time manner. This leverages the cost benefits of Moore's Law for both storage and compute costs. We describe the approach and current results in this paper.

Mesh:

Year:  2012        PMID: 21748411      PMCID: PMC3264707          DOI: 10.1007/s10278-011-9401-2

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

1.  Virtual machine performance benchmarking.

Authors:  Steve G Langer; Todd French
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

2.  The role of open-source software in innovation and standardization in radiology.

Authors:  Bradley J Erickson; Steve Langer; Paul Nagy
Journal:  J Am Coll Radiol       Date:  2005-11       Impact factor: 5.532

3.  Open source in imaging informatics.

Authors:  Paul Nagy
Journal:  J Digit Imaging       Date:  2007-08-03       Impact factor: 4.056

  3 in total
  2 in total

1.  Limitations in and Solutions for Improving the Functionality of Picture Archiving and Communication System: an Exploratory Study of PACS Professionals' Perspectives.

Authors:  Mona Alhajeri; Syed Ghulam Sarwar Shah
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

Review 2.  Mobile, cloud, and big data computing: contributions, challenges, and new directions in telecardiology.

Authors:  Jui-Chien Hsieh; Ai-Hsien Li; Chung-Chi Yang
Journal:  Int J Environ Res Public Health       Date:  2013-11-13       Impact factor: 3.390

  2 in total

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