RADStation3G: A platform for cardiovascular image analysis integrating PACS, 3D+t visualization and grid computing

Pérez, Fernando; Huguet, J.; Aguilar, Ricardo; Lara, Laura; Larrabide, Ignacio; Villa‐Uriol, Maria‐Cruz; López, Julio; Macho, Juan; Rigo, Armin; Rosselló, J.; Vera, Sofía Papantonakis; Vivas, Elío; Fernández, José‐Jesús; Arbona, Antonio; Frangi, Alejandro F.; Jover, Javier Herrero; Ballester, Miguel Ángel González

doi:10.1016/j.cmpb.2012.12.002

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…Thus, system continuity and functionality was identified as an important dimension. It consisted of three subdimensions at level 3: support for service and configuration/upgrades [22]; security, backup, and downtime prevention [22,25]; and support for multispecialty images (non-radiology images) [26,27]. For PACS administrators, the last dimension was divided into cardiology images and pathology images at level 3.…”

Section: Ahp Model For Pacs Administratorsmentioning

confidence: 99%

PACS Administrators’ and Radiologists’ Perspective on the Importance of Features for PACS Selection

Joshi

Narra²,

Joshi

et al. 2014

J Digit Imaging

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Picture archiving and communication systems (PACS) play a critical role in radiology. This paper presents the criteria important to PACS administrators for selecting a PACS. A set of criteria are identified and organized into an integrative hierarchical framework. Survey responses from 48 administrators are used to identify the relative weights of these criteria through an analytical hierarchy process. The five main dimensions for PACS selection in order of importance are system continuity and functionality, system performance and architecture, user interface for workflow management, user interface for image manipulation, and display quality. Among the subdimensions, the highest weights were assessed for security, backup, and continuity; tools for continuous performance monitoring; support for multispecialty images; and voice recognition/transcription. PACS administrators' preferences were generally in line with that of previously reported results for radiologists. Both groups assigned the highest priority to ensuring business continuity and preventing loss of data through features such as security, backup, downtime prevention, and tools for continuous PACS performance monitoring. PACS administrators' next high priorities were support for multispecialty images, image retrieval speeds from short-term and long-term storage, real-time monitoring, and architectural issues of compatibility and integration with other products. Thus, next to ensuring business continuity, administrators' focus was on issues that impact their ability to deliver services and support. On the other hand, radiologists gave high priorities to voice recognition, transcription, and reporting; structured reporting; and convenience and responsiveness in manipulation of images. Thus, radiologists' focus appears to be on issues that may impact their productivity, effort, and accuracy.

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Section: Ahp Model For Pacs Administratorsmentioning

confidence: 99%

PACS Administrators’ and Radiologists’ Perspective on the Importance of Features for PACS Selection

Joshi

Narra²,

Joshi

et al. 2014

J Digit Imaging

View full text Add to dashboard Cite

show abstract

“…The adoption of new systems such as the ones proposed by Mahmoudi et al 2 is rendered prohibitive by the fact that PACS is currently used in 93% of hospitals. 4 As for plugins options, 3 some packages already tackle specific categories of problems such as 5 cardiac-support assessments, empowering team interactivity 6 and traffic alleviation, 7 among others. However, despite tools such as these have the potential to improve medical image analyses, the packages created so far are limited in their clinical usefulness.…”

Section: Introductionmentioning

confidence: 99%

Extending PACS functionality: towards facilitating the conversion of clinical necessities into research-derived applications

et al. 2017

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The Picture Administration and Communications System (PACS) was designed to replace the old film archiving system in hospitals in order to store and move varying medical image modalities. Using the standard Internet transport protocol, PACS creators designed a robust digital signaling platform to optimize media use, availability, and confidentiality. Nowadays PACS has become ubiquitous in medical facilities but lacks imaging analytical capabilities. A myriad of initiatives have been launched in the hope of achieving this goal, but current solutions face issues with security and ease-of-use that have precluded their widespread adoption. Here, we present a PACS-based image processing tool that safeguards patient confidentiality, is user-friendly and is easy to implement. The final product is platform-independent, has a small degree of intrusiveness and is well suited to clinical and research workflows.

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Enabling the Medical Applications Engine

Calderon

Rea

McComb

2018

Communications in Computer and Information Science

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RADStation3G: A platform for cardiovascular image analysis integrating PACS, 3D+t visualization and grid computing

Cited by 8 publications

References 11 publications

PACS Administrators’ and Radiologists’ Perspective on the Importance of Features for PACS Selection

PACS Administrators’ and Radiologists’ Perspective on the Importance of Features for PACS Selection

Extending PACS functionality: towards facilitating the conversion of clinical necessities into research-derived applications

Enabling the Medical Applications Engine

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