Literature DB >> 9147339

Understanding and using DICOM, the data interchange standard for biomedical imaging.

W D Bidgood1, S C Horii, F W Prior, D E Van Syckle.   

Abstract

The Digital Imaging and Communications in Medicine (DICOM) Standard specifies a non-proprietary data interchange protocol, digital image format, and file structure for biomedical images and image-related information. The fundamental concepts of the DICOM message protocol, services, and information objects are reviewed as background for a detailed discussion of the functionality of DICOM; the innovations and limitations of the Standard; and the impact of various DICOM features on information system users. DICOM addresses five general application areas: (1) network image management, (2) network image interpretation management, (3) network print management, (4) imaging procedure management, (5) off-line storage media management. DICOM is a complete specification of the elements required to achieve a practical level of automatic interoperability between biomedical imaging computer systems--from application layer to bit-stream encoding. The Standard is being extended and expanded in modular fashion to support new applications and incorporate new technology. An interface to other Information Systems provides for shared management of patient, procedure, and results information related to images. A Conformance Statement template enables a knowledgeable user to determine if interoperability between two implementations is possible. Knowledge of DICOM's benefits and realistic understanding of its limitations enable one to use the Standard effectively as the basis for a long term implementation strategy for image management and communications systems.

Entities:  

Mesh:

Year:  1997        PMID: 9147339      PMCID: PMC61235          DOI: 10.1136/jamia.1997.0040199

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  3 in total

Review 1.  Modular extension of the ACR-NEMA DICOM standard to support new diagnostic imaging modalities and services.

Authors:  W D Bidgood; S C Horii
Journal:  J Digit Imaging       Date:  1996-05       Impact factor: 4.056

2.  Documenting the information content of images.

Authors:  W D Bidgood
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

Review 3.  An imaging standard for dentistry. Extension of the radiology DICOM standard.

Authors:  D K Benn; W D Bidgood; J C Pettigrew
Journal:  Oral Surg Oral Med Oral Pathol       Date:  1993-09
  3 in total
  61 in total

1.  A visual coding system in histopathology and its consensual acquisition.

Authors:  C Le Bozec; M C Jaulent; E Zapletal; D Heudes; P Degoulet
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  Clinical importance of the DICOM structured reporting standard.

Authors:  W D Bidgood
Journal:  Int J Card Imaging       Date:  1998-10

3.  Towards content-based image retrieval in a HIS-integrated PACS.

Authors:  C Le Bozec; E Zapletal; M C Jaulent; D Heudes; P Degoulet
Journal:  Proc AMIA Symp       Date:  2000

4.  BrainImageJ: a Java-based framework for interoperability in neuroscience, with specific application to neuroimaging.

Authors:  Y R Ng; S Shiffman; T J Brosnan; J M Links; L S Beach; N S Judge; Y Xu; U V Kelkar; A L Reiss
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

Review 5.  Sharing heterogeneous data: the national database for autism research.

Authors:  Dan Hall; Michael F Huerta; Matthew J McAuliffe; Gregory K Farber
Journal:  Neuroinformatics       Date:  2012-10

6.  DICOM awareness of oral and maxillofacial radiologists in India.

Authors:  Kaustubh Sansare; Dharamveer Singh; Allan Farman; Freny Karjodkar
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

7.  A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging.

Authors:  Daniel Haak; Charles-E Page; Thomas M Deserno
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

8.  An ontology for PACS integration.

Authors:  Charles E Kahn; David S Channin; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2006-12       Impact factor: 4.056

9.  Bio-image warehouse system: concept and implementation of a diagnosis-based data warehouse for advanced imaging modalities in neuroradiology.

Authors:  L Minati; F Ghielmetti; V Ciobanu; L D'Incerti; C Maccagnano; A Bizzi; M G Bruzzone
Journal:  J Digit Imaging       Date:  2007-03       Impact factor: 4.056

10.  Motion compensation for MRI-compatible patient-mounted needle guide device: estimation of targeting accuracy in MRI-guided kidney cryoablations.

Authors:  Junichi Tokuda; Laurent Chauvin; Brian Ninni; Takahisa Kato; Franklin King; Kemal Tuncali; Nobuhiko Hata
Journal:  Phys Med Biol       Date:  2018-04-13       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.