Literature DB >> 34159419

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

Altay Brusan1, Aytac Durmaz2, Cengizhan Ozturk2,3.   

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.
© 2021. Society for Imaging Informatics in Medicine.

Entities:  

Keywords:  Biomedical imaging; DICOM; Medical imaging; Open-source software; PACS; X-ray

Mesh:

Year:  2021        PMID: 34159419      PMCID: PMC8329151          DOI: 10.1007/s10278-021-00458-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.903


  12 in total

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Authors:  Stephen S Boochever
Journal:  Radiol Manage       Date:  2004 May-Jun

Review 2.  Will the next generation of PACS be sitting on a cloud?

Authors:  James Philbin; Fred Prior; Paul Nagy
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

Review 3.  Losing images in digital radiology: more than you think.

Authors:  Catherine Oglevee; Oleg Pianykh
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

4.  iBEX: Modular Open-Source Software for Digital Radiography.

Authors:  Altay Brusan; F Aytaç Durmaz; Alper Yaman; Cengizhan Öztürk
Journal:  J Digit Imaging       Date:  2020-06       Impact factor: 4.056

5.  Specifying DICOM compliance for modality interfaces.

Authors:  F W Prior
Journal:  Radiographics       Date:  1993-11       Impact factor: 5.333

6.  Oops, Sorry, Wrong Patient!: A Patient Verification Process is Needed Everywhere, Not Just at the Bedside.

Authors:  Matthew Grissinger
Journal:  P T       Date:  2014-08

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Authors:  Edmond W Israelski; William H Muto
Journal:  Jt Comm J Qual Saf       Date:  2004-12

8.  Software-Related Recalls of Health Information Technology and Other Medical Devices: Implications for FDA Regulation of Digital Health.

Authors:  Jay G Ronquillo; Diana M Zuckerman
Journal:  Milbank Q       Date:  2017-09       Impact factor: 4.911

9.  Mastering DICOM with DVTk.

Authors:  Glenn Potter; Rick Busbridge; Michael Toland; Paul Nagy
Journal:  J Digit Imaging       Date:  2007-08-07       Impact factor: 4.056

10.  Benefits of using the DCM4CHE DICOM archive.

Authors:  Max J Warnock; Christopher Toland; Damien Evans; Bill Wallace; Paul Nagy
Journal:  J Digit Imaging       Date:  2007-10-05       Impact factor: 4.056

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