PACSPulse: A Web-based DICOM Network Traffic Monitor and Analysis Tool

Nagy, Paul; Daly, Mark; Warnock, Max; Ehlers, Kevin C.; Rehm, Jeff

doi:10.1148/rg.233025114

Cited by 18 publications

(12 citation statements)

References 9 publications

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“…Retrieval of prior examinations causes high network traffic loads and additional burden on the LTA as well. Thus, pre-fetching usually applies sophisticated algorithms to select presumably relevant studies and block non-relevant prior studies at the same time [16,18,19]. In daily practice, inconsistent DICOM interpretation of different imaging modalities and inconsistent definitions of body regions (even within the same radiological institution) may lead to missed detection of relevant prior examinations.…”

Section: Discussionmentioning

confidence: 99%

Hard disk online caches in picture archiving and communication systems archives: how big is beautiful?

et al. 2006

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The objective of our study was to support algorithmic recommendations for the appropriate sizing of picture archiving and communication system (PACS) caches. For a large PACS installation, a detailed analysis of current radiographic (CR), CT and MRI studies (n=400 consecutive studies, respectively) was performed. In this process every available prior examination was also considered. A new algorithmic procedure for appropriate sizing of PACS caches was developed and applied to the given cache implementation. The number of all priors was 7.6+/-12.3. Of them, 61% were relevant priors with an average age of 203+/-385 days. A basic cache (BC) that covers 12 months of current imaging results in a pre-fetching quote of 15.4% (8.6% for 24 months). In the PACS installation examined, a minimal threefold increase in cache capacity was recommended. Studies that are retrieved, prior to viewing, from the long-term archive require additional space in the extended cache (EC). An intimate and mutual interaction between hospital information system (HIS), radiology information system (RIS) and PACS minimizes this requirement and increases the time during which actual image material from the BC is available online. A basic cache size covering actual imaging of 12 months up to 24 months is recommended. The parameters governing the individual dimensions of both cache spaces and a mathematical algorithm are demonstrated.

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Section: Discussionmentioning

confidence: 99%

Hard disk online caches in picture archiving and communication systems archives: how big is beautiful?

et al. 2006

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“…Some solutions are general purpose dashboards that can aggregate incoming information using modern technologies and can be used for real-time visualization of heterogeneous data. Apart from certain trailblazing projects for PACS performance monitoring however [5,6], the application of open-source infrastructure dashboards and analytics to medical imaging deployments is a relatively recent development.…”

Section: Introductionmentioning

confidence: 99%

Open-Source, Web-Based Dashboard Components for DICOM Connectivity

Bustamante¹,

Pineda²,

Rascovsky³

et al. 2016

J Digit Imaging

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The administration of a DICOM network within an imaging healthcare institution requires tools that allow for monitoring of connectivity and availability for adequate uptime measurements and help guide technology management strategies. We present the implementation of an open-source widget for the Dashing framework that provides basic dashboard functionality allowing for monitoring of a DICOM network using network "ping" and DICOM "C-ECHO" operations.

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“…These groups differ in their assessments of PACS performance, and Nagy et al 4 suggest that their disparate metrics retard timely analysis and problem correction; furthermore, PACS administrators may not have full and ready access to good performanceassessment tools. In remedy, Nagy et al have pioneered an open-source toolset giving the PACS administrator centralized user-centric metrics.…”

mentioning

confidence: 99%

“…In remedy, Nagy et al have pioneered an open-source toolset giving the PACS administrator centralized user-centric metrics. 4 What follows is our approach to supporting clinical-and research-image viewing. Although somewhat dependent on fluid PACS operation and administered by the PACS Group of our Radiology Department, the clinical-image service is a major operation of its own.…”

mentioning

confidence: 99%