Requirements for an Enterprise Digital Image Archive

Erickson, Bradley J.; Persons, Kenneth R.; Hangiandreou, Nicholas J.; James, E M; Hanna, Christopher J.; Gehring, Dale G.

doi:10.1007/s10278-001-0005-0

Cited by 19 publications

(16 citation statements)

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“…At present, there is an annual need of about 1.3 TB of storage space. In accordance with previous observations, the number of digital image data at our institution is still increasing, by about 25% per year [11][12][13].…”

Section: Methodssupporting

confidence: 89%

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: Methodssupporting

confidence: 89%

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

et al. 2006

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“…At the Mayo Clinic, this has reduced infrastructure costs by approximately $250,000 per year. 43 In this application, image quality is satisfactory, and clinical acceptance has been overwhelmingly positive. 44,45 Medical-legal uncertainties are a signi®cant hurdle to widespread use of irreversible compression for diagnosis.…”

Section: Application Of Irreversible Compression To Medical Practicementioning

confidence: 93%

Irreversible Compression of Medical Images

Erickson

2002

J Digit Imaging

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The volume of data from medical imaging is growing at exponential rates, matching or exceeding the decline in the costs of digital data storage. While methods to reversibly compress image data do exist, current methods only achieve modest reductions in storage requirements. Irreversible compression can achieve substantially higher compression ratios without perceptible image degradation. These techniques are routinely applied in teleradiology, and often in Picture Archiving and Communications Systems. The practicing radiologist needs to understand how these compression techniques work and the nature of the degradation that occurs in order to optimize their medical practice. This paper describes the technology and artifacts commonly used in irreversible compression of medical images.

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“…While a detailed examination of PACS archive architectures is beyond the scope of this work (see instead, for example, [20][21][22]), selected aspects of this topic are quite relevant to the integration of advanced visualization tools with primary PACS viewers. In particular, communications protocols and storage resource allocation are two key factors considered here.…”

Section: Image Archive Architecture: Storage and Communicationsmentioning

confidence: 99%

Five Levels of PACS Modularity: Integrating 3D and Other Advanced Visualization Tools

et al. 2011

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The current array of PACS products and 3D visualization tools presents a wide range of options for applying advanced visualization methods in clinical radiology. The emergence of server-based rendering techniques creates new opportunities for raising the level of clinical image review. However, best-of-breed implementations of core PACS technology, volumetric image navigation, and application-specific 3D packages will, in general, be supplied by different vendors. Integration issues should be carefully considered before deploying such systems. This work presents a classification scheme describing five tiers of PACS modularity and integration with advanced visualization tools, with the goals of characterizing current options for such integration, providing an approach for evaluating such systems, and discussing possible future architectures. These five levels of increasing PACS modularity begin with what was until recently the dominant model for integrating advanced visualization into the clinical radiologist's workflow, consisting of a dedicated stand-alone post-processing workstation in the reading room. Introduction of context-sharing, thin clients using server-based rendering, archive integration, and user-level application hosting at successive levels of the hierarchy lead to a modularized imaging architecture, which promotes user interface integration, resource efficiency, system performance, supportability, and flexibility. These technical factors and system metrics are discussed in the context of the proposed five-level classification scheme.

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Requirements for an Enterprise Digital Image Archive

Cited by 19 publications

References 0 publications

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

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

Irreversible Compression of Medical Images

Five Levels of PACS Modularity: Integrating 3D and Other Advanced Visualization Tools

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