Top

Journal of Imaging Informatics in Medicine

Published in:

Open Access 01-06-2018

DICOMweb™: Background and Application of the Web Standard for Medical Imaging

Authors: Brad W. Genereaux, Donald K. Dennison, Kinson Ho, Robert Horn, Elliot Lewis Silver, Kevin O’Donnell, Charles E. Kahn Jr

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2018

Abstract

This paper describes why and how DICOM, the standard that has been the basis for medical imaging interoperability around the world for several decades, has been extended into a full web technology-based standard, DICOMweb. At the turn of the century, healthcare embraced information technology, which created new problems and new opportunities for the medical imaging industry; at the same time, web technologies matured and began serving other domains well. This paper describes DICOMweb, how it extended the DICOM standard, and how DICOMweb can be applied to problems facing healthcare applications to address workflow and the changing healthcare climate.

Susan I. Reynolds. 2003. Imaging: New electronic tool for clinicians. AMIA Annu Symp Proc. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480347/

Vest JR, Kaushal R, Silver MD, Hentel K, Kern LM. 2014. Health information exchange and the frequency of repeat medical imaging. Am J Manag Care 20(11 Spec No. 17):eSP16–eSP24. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/25811815

Wikipedia. 2017. DICOM. Retrieved from https://en.wikipedia.org/wiki/DICOM

DICOM. 2017. Imaging Reports using HL7 Clinical Document Architecture. Retrieved from http://dicom.nema.org/medical/dicom/current/output/chtml/part20/chapter_1.html

Christopher J. Roth, Louis M. Lannum, Kenneth R. Persons. 31 May 2016. A Foundation for Enterprise Imaging: HIMSS-SIIM Collaborative White Paper. Retrieved from http://link.springer.com/article/10.1007/s10278-016-9882-0

John Musser. May 5, 2011. Open APIs – State of the Market 2011. Retrieved from http://www.slideshare.net/jmusser/open-apis-state-of-the-market-2011

Fielding RT: Chapter 5: Representational state transfer (REST). Architectural Styles and the Design of Network-based Software Architectures. Irvine: University of California, 2000

HL7. 2017. FHIR Release 3 (STU). Retrieved from https://www.hl7.org/fhir/

DICOM Standards Committee. 2017. Retirement of WADO-WS. Retrieved from ftp://medical.nema.org/MEDICAL/Dicom/final/sup198_ft2_retire_wado-ws.pdf

10.

MINT. March 14, 2014. Medical Imaging Network Transport Readme. Retrieved from https://github.com/medical-imaging-network-transport/medical-imaging-network-transport

11.

DICOM. 2017. OpenEventChannel. Retrieved from http://dicom.nema.org/medical/dicom/current/output/chtml/part18/sect_6.9.10.html

12.

DICOM. 2017. RS Capabilities Service. Retrieved from http://dicom.nema.org/medical/dicom/current/output/chtml/part18/sect_6.8.html#sect_6.8.1.1.1

13.

DICOM. 2017. Native DICOM Model. Retrieved from http://dicom.nema.org/medical/dicom/current/output/chtml/part19/chapter_A.html#sect_A.1

14.

DICOM. 2017. DICOM JSON Model. Retrieved from http://dicom.nema.org/medical/dicom/current/output/chtml/part18/chapter_F.html

Title: DICOMweb™: Background and Application of the Web Standard for Medical Imaging
Authors: Brad W. Genereaux
Donald K. Dennison
Kinson Ho
Robert Horn
Elliot Lewis Silver
Kevin O’Donnell
Charles E. Kahn Jr
Publication date: 01-06-2018
Publisher: Springer International Publishing
Published in: Journal of Imaging Informatics in Medicine / Issue 3/2018
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-018-0073-z

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

DICOMweb™: Background and Application of the Web Standard for Medical Imaging

Abstract

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 3/2018

A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System

Patient-Centered Radiology with FHIR: an Introduction to the Use of FHIR to Offer Radiology a Clinically Integrated Platform

IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room

Towards Portable Large-Scale Image Processing with High-Performance Computing

Collaborative and Reproducible Research: Goals, Challenges, and Strategies

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research