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Validating DICOM Transcoding with an Open Multi-Format Resource

Validating DICOM Transcoding with an Open Multi-Format Resource Neuroinform (2014) 12:615–617 DOI 10.1007/s12021-014-9230-9 NEWS ITEM Validating DICOM Transcoding with an Open Multi-Format Resource Benjamin C. Yvernault & Charles D. Theobald Jr. & Jolinda C. Smith & Victoria Villalta & David H. Zald & Bennett A. Landman Published online: 29 April 2014 # Springer Science+Business Media New York 2014 The Digital Imaging and Communications in Medicine Converting between data formats (known as transcoding)— (DICOM) standard has allowed wide-scale interoperability be- either between files or between files and an internal memory tween medical imaging devices allowed for construction of representation—is a constant concern for software engineers and large-scale radiological imaging system. The DICOM standard image processers (Fig. 1). In medical imaging, it is provides for extensive structured meta-data ranging from the critical that real-world orientation (e.g., right/left) and physical dimensions of the imaging data to patient military status. distances are preserved. Some image acquisitions have Moreover, “private” fields are permitted to store almost any physical indications to allow orientation to be verified additional data within DICOM datasets. These alternative fields (e.g., using vitamin E capsules as fiducial markers in are often used to store key acquisition parameters for new or MRI), but these practices are inconsistent across sites. emerging http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

Validating DICOM Transcoding with an Open Multi-Format Resource

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Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Biomedicine; Neurosciences; Bioinformatics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Neurology
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1007/s12021-014-9230-9
pmid
24777387
Publisher site
See Article on Publisher Site

Abstract

Neuroinform (2014) 12:615–617 DOI 10.1007/s12021-014-9230-9 NEWS ITEM Validating DICOM Transcoding with an Open Multi-Format Resource Benjamin C. Yvernault & Charles D. Theobald Jr. & Jolinda C. Smith & Victoria Villalta & David H. Zald & Bennett A. Landman Published online: 29 April 2014 # Springer Science+Business Media New York 2014 The Digital Imaging and Communications in Medicine Converting between data formats (known as transcoding)— (DICOM) standard has allowed wide-scale interoperability be- either between files or between files and an internal memory tween medical imaging devices allowed for construction of representation—is a constant concern for software engineers and large-scale radiological imaging system. The DICOM standard image processers (Fig. 1). In medical imaging, it is provides for extensive structured meta-data ranging from the critical that real-world orientation (e.g., right/left) and physical dimensions of the imaging data to patient military status. distances are preserved. Some image acquisitions have Moreover, “private” fields are permitted to store almost any physical indications to allow orientation to be verified additional data within DICOM datasets. These alternative fields (e.g., using vitamin E capsules as fiducial markers in are often used to store key acquisition parameters for new or MRI), but these practices are inconsistent across sites. emerging

Journal

Neuroinformatics – Springer Journals

Published: Apr 29, 2014

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