&lt;title&gt;Distributed architecture for image archival in a hospital-wide PACS&lt;/title&gt;

Ratib, Osman; Ligier, Yves; Funk, Matthieu; Vurlod, J. F.; Trayser, Gerhard; Scherrer, Jean-Raoul

doi:10.1117/12.60273

Cited by 4 publications

(3 citation statements)

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“…239 – 242 Description of other necessary PACS components beyond the display station were presented including embedding PACS databases with HIS/RIS functionality. 243 – 246 , 246 An update on the ACR-NEMA “Digital Imaging and Communications in Medicine” was given 247 and data protection and security issues of PACS were discussed. 248 The UCLA Laboratory of H.K.…”

Section: S Pacs Conferencesmentioning

confidence: 99%

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Andriole

2022

J. Med. Imag.

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Section: S Pacs Conferencesmentioning

confidence: 99%

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Andriole

2022

J. Med. Imag.

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“…However, this would require a better ) understanding of what information is likely to be obtained from different sources, and the degree to which the information is abstracted and summarized in the medical record. A greater confluence of research in the standardization of vocabularies and languages for representing medical knowledge and records [22][23][24][25][26] with practical experience from PACS systems [27][28][29][30], and techniques for representing and structuring textual information from radiological reports [31][32][33] as well as methods for automatically extracting key descriptors [34] from such reports and analyzing medical text [35] will be needed to build and maintain such information systems. Baseline material for correlating and studying multimodality, multi resolution sets of images will come from the 3-D image atlases or digital libraries of reference images [1,39,37].…”

Section: Knowledge-based Medical Image Analysis and Representation Fomentioning

confidence: 99%

Knowledge-Based Medical Image Analysis and Representation for Integrating Content Definition with the Radiological Report

Kulikowski

Gong²,

Mezrich³

1995

Methods Inf Med

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Abstract:Technology breakthroughs in high-speed, high-capacity, and high performance desk-top computers and workstations make the possibility of integrating multimedia medical data to better support clinical decision making, computer-aided education, and research not only attractive, but feasible. To systematically evaluate results from increasingly automated image segmentation it is necessary to correlate them with the expert judgments of radiologists and other clinical specialists interpreting the images. These are contained in increasingly computerized radiological reports and other related clinical records. But to make automated comparison feasible it is necessary to first ensure compatibility of the knowledge content of images with the descriptions contained in these records. Enough common vocabulary, language, and knowledge representation components must be represented on the computer, followed by automated extraction of image-content descriptions from the text, which can then be matched to the results of automated image segmentation. A knowledge-based approach to image segmentation is essential to obtain the structured image descriptions needed for matching against the expert’s descriptions. We have developed a new approach to medical image analysis which helps generate such descriptions: a knowledge-based object-centered hierarchical planning method for automatically composing the image analysis processes. The problem-solving steps of specialists are represented at the knowledge level in terms of goals, tasks, and domain objects and concepts separately from the implementation level for specific representations of different image types, and generic analysis methods. This system can serve as a major functional component in incrementally building and updating a structured and integrated hybrid information system of patient data. This approach has been tested for magnetic resonance image interpretation, and has achieved promising results.

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“…The integration of imaging information with other medical records within health information systems [9][10][11][12], in ways that will facilitate standardized communication and interpretation, can well be considered the central problem of medical imaging informatics. And, with the development of multimedia and virtual reality systems [13] that can capture voice, touch and other sensory information as well, we may even foresee the emergence of a more general "multimedia medical informatics" to study the problems of coherently representing and integrating such disparate sources of information.…”

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Medical Image Processing in an Era of High-Performance Computing

Kulikowski¹,

Gong²

1994

Yearb Med Inform

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Advanced radiology practices are already benefiting from powerful and increasingly more economical computing and networking facilities. Medical image processing methods have improved dramatically over the past five years, with sophisticated 3D display, visualization and analysis techniques allowing increased integration of multiple modalities of imaging, flexible environments for imaging analysis, and P ACS (picture archiving and communication systems) for ease of transmission and retrieval. Emerging directions involve teleradiology and telesurgery virtual reality applications, the development of new image database techniques, and the building of large visual databases like that of the Visible Human Project. Challenging problems of image segmentation, registration, and multimodal image fusion are still with us. Building dynamic, flexible electronic atlases will have a profound effect on the understanding of structure and function from the level of cellular physiology to gross anatomy, but requires the development of new techniques of visual knowledge representation and more standardized ways of defining the conceptual and linguistic constructs of visual objects in biomedicine, for linkage to medical records, research results, and educational materials. Methods for reasoning with visual information in the context of multimedia information systems present an inviting challenge to the upcoming generation of researchers in medical informatics.

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<title>Distributed architecture for image archival in a hospital-wide PACS</title>

Cited by 4 publications

References 0 publications

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Knowledge-Based Medical Image Analysis and Representation for Integrating Content Definition with the Radiological Report

Medical Image Processing in an Era of High-Performance Computing

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