Literature DB >> 8290731

Specifying DICOM compliance for modality interfaces.

F W Prior1.   

Abstract

For picture archiving and communication systems (PACS) to be successful, they must be able to acquire image data from imaging devices and integrate this information into a PACS data base. Substantial effort has been invested in the Digital Imaging and Communications in Medicine (DICOM) standard to define a standard network interface and data model for imaging devices that can facilitate information systems integration. A communication standard cannot ensure multivendor interoperability. Necessary implementation-specific requirements are beyond the scope of a standard but not of a user-generated conformance statement. A DICOM user conformance profile (UCP) is a formal statement drafted by a potential purchaser of medical imaging equipment to state clearly the subset of DICOM functionality that shall be provided by a potential vendor. The UCP specifies the service classes, information objects, and communication protocols to be supported by the implementation. A modality interface UCP presented by the author permits scheduling and demographic information to be communicated to an imaging modality and allows images to be stored in a PACS. The UCP also ensures an unambiguous notification of the end of a study and proper communication of image data.

Mesh:

Year:  1993        PMID: 8290731     DOI: 10.1148/radiographics.13.6.8290731

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  7 in total

1.  Interfacing the radiology information system to the modality: an integrated approach.

Authors:  H T Garland; B J Cavanaugh; R Cecil; B L Hayes; S Lavoie; A Leontiev; J Veprauskas
Journal:  J Digit Imaging       Date:  1999-05       Impact factor: 4.056

2.  Digital photography of digital imaging and communications in medicine-3 images from computers in the radiologist's office.

Authors:  H Chin; D Klepac; R D Ernst; A Kawashima; E P Tamm; D Reyna; C M Sandler
Journal:  J Digit Imaging       Date:  1999-05       Impact factor: 4.056

3.  De-identification of Medical Images with Retention of Scientific Research Value.

Authors:  Stephen M Moore; David R Maffitt; Kirk E Smith; Justin S Kirby; Kenneth W Clark; John B Freymann; Bruce A Vendt; Lawrence R Tarbox; Fred W Prior
Journal:  Radiographics       Date:  2015 May-Jun       Impact factor: 5.333

4.  Evaluation of the medical diagnostic imaging support system based on 2 years of clinical experience.

Authors:  D V Smith; S Smith; G N Bender; J R Carter; Y Kim; M A Cawthon; R G Leckie; J C Weiser; J Romlein; F Goeringer
Journal:  J Digit Imaging       Date:  1995-05       Impact factor: 4.056

5.  A Workflow for Ensuring DICOM Compatibility During Radiography Device Software Development.

Authors:  Altay Brusan; Aytac Durmaz; Cengizhan Ozturk
Journal:  J Digit Imaging       Date:  2021-06-22       Impact factor: 4.903

6.  DICOM-MIABIS integration model for biobanks: a use case of the EU PRIMAGE project.

Authors:  Camilla Scapicchio; Michela Gabelloni; Sara Maria Forte; Leonor Cerdá Alberich; Lorenzo Faggioni; Rita Borgheresi; Paola Erba; Fabiola Paiar; Luis Marti-Bonmati; Emanuele Neri
Journal:  Eur Radiol Exp       Date:  2021-05-12

7.  Urologic Surgery in Digital Era: Foresights and Futuristic Approach.

Authors:  Mehmet Ezer; Tahsin Batuhan Aydoğan; Emre Huri
Journal:  Balkan Med J       Date:  2021-11       Impact factor: 2.021

  7 in total

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