• Home
  • Search
  • A Workflow for Ensuring DICOM Compatibility During Radiography Device Software Development.
  • Open Access IconOpen Access
  • Cite Icon6
  • https://doi.org/10.1007/s10278-021-00458-xCopy DOI Icon

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

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

In medical devices, nonconformance with Digital Imaging and Communications in Medicine (DICOM) standard is a serious risk. DICOM nonconformance radiology devices could cause undetected image loss, increasing examination time, and costs in health centers and could even result in the wrong patient treatment. However, there is a rich literature on medical standards that identify the best practices for producing safe and effective medical software. However, these standards do not expressly provide tools to deal with all the relevant DICOM compatibility issues in a specific case. This study aims to introduce a systematic software development workflow that complies with medical standards and ensures DICOM conformance of a new or upgraded radiology software project. In this approach, DICOM conformance gets the highest priority, and the whole software project is organized around it. Software requirement analysis, risk evaluation, and test management tasks are arranged systematically to make the final device DICOM conformant. This conceptual framework was developed during the R&D work towards a novel radiography device, and it could be employed as a roadmap in other medical imaging software projects. The proposed methodology controls the DICOM compatibility risk of the final software, and its systematic evaluation complied with medical standards.

Similar Papers
  • Conference Article
  • Citations18

Evaluation of DICOM viewer software for workflow integration in clinical trials

  • Mar 17, 2015
  • Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  • Daniel Haak +3
  • Conference Article
  • Citations1

<title>DICOM structured report: implementation notes for basic structured reporting system</title>

  • May 16, 2002
  • Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  • Dongook Kim +6
  • Abstract

498 Patient safety alert: Medical image manipulation as a safety hazard for wrong-site procedures

  • Jun 16, 2020
  • Journal of Investigative Dermatology
  • J.S Taylor +6
  • Research Article

Assessment of Vertical Magnification Ratios in Digital Panoramic Radiography Using Phantoms: Evaluation of DICOM Metadata and Calibration Consistency.

  • Oct 06, 2025
  • Dento maxillo facial radiology
  • Han-Gyeol Yeom +7
  • Research Article
  • Citations5

Toward the integration of cytomics and medicine

  • Sep 01, 2009
  • Journal of Biophotonics
  • Robert C Leif
  • Research Article

Medical Imaging Advocate Tackles Industry Challenges

  • Sep 01, 2011
  • Biomedical Instrumentation & Technology
  • David E Fisher
  • Conference Article
  • Citations8

Natural interaction on 3D medical image viewer software

  • Dec 01, 2012
  • Apivan Tuntakurn +4
  • Conference Article
  • Citations3

Development of a software process framework to assist organizations developing mobile medical apps

  • Feb 01, 2016
  • K Trektere +2
  • Conference Article
  • Citations3

CytometryML and other data formats

  • Feb 09, 2006
  • Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  • Robert C Leif
  • Supplementary Content
  • Citations18

Med-Trace: traceability assessment method for medical device software development

  • Jan 01, 2011
  • University of Limerick Institutional Repository (University of Limerick)
  • Valentine Casey +1
  • PDF
  • Research Article

The first 3D printed multiple sclerosis brain: Towards a 3D era in medicine

  • Sep 20, 2017
  • F1000Research
  • Jagannadha Avasarala +1
  • Research Article
  • Citations3

Development of 3D Printed Brain Tumour for Surgical Biopsy

  • Jul 01, 2018
  • IOP Conference Series: Materials Science and Engineering
  • Y Sandeep Kumar +4
  • Research Article
  • Citations22

Controlling for Cybersecurity Risks of Medical Device Software

  • Jan 01, 2014
  • Biomedical Instrumentation & Technology
  • Kevin Fu +1
  • Research Article
  • Citations181

Software project risk analysis using Bayesian networks with causality constraints

  • Nov 08, 2012
  • Decision Support Systems
  • Yong Hu +4
  • Conference Article

Improvement of Risk Identification of Software Projects using Clustering Approach

  • Jan 01, 2011
  • Ching-Pao Chang
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.