Literature DB >> 22349992

DicomBrowser: software for viewing and modifying DICOM metadata.

Kevin A Archie1, Daniel S Marcus.   

Abstract

Digital Imaging and Communications in Medicine (DICOM) is the dominant standard for medical imaging data. DICOM-compliant devices and the data they produce are generally designed for clinical use and often do not match the needs of users in research or clinical trial settings. DicomBrowser is software designed to ease the transition between clinically oriented DICOM tools and the specialized workflows of research imaging. It supports interactive loading and viewing of DICOM images and metadata across multiple studies and provides a rich and flexible system for modifying DICOM metadata. Users can make ad hoc changes in a graphical user interface, write metadata modification scripts for batch operations, use partly automated methods that guide users to modify specific attributes, or combine any of these approaches. DicomBrowser can save modified objects as local files or send them to a DICOM storage service using the C-STORE network protocol. DicomBrowser is open-source software, available for download at http://nrg.wustl.edu/software/dicom-browser.

Mesh:

Year:  2012        PMID: 22349992      PMCID: PMC3447088          DOI: 10.1007/s10278-012-9462-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  2 in total

1.  The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data.

Authors:  Daniel S Marcus; Timothy R Olsen; Mohana Ramaratnam; Randy L Buckner
Journal:  Neuroinformatics       Date:  2007

Review 2.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

  2 in total
  6 in total

1.  XNAT Central: Open sourcing imaging research data.

Authors:  Rick Herrick; William Horton; Timothy Olsen; Michael McKay; Kevin A Archie; Daniel S Marcus
Journal:  Neuroimage       Date:  2015-07-02       Impact factor: 6.556

2.  Identification of cranial nerve ganglia using sectioned images and three-dimensional models of a cadaver.

Authors:  Chung Yoh Kim; Jin Seo Park; Beom Sun Chung
Journal:  Korean J Pain       Date:  2022-07-01

3.  Validating DICOM transcoding with an open multi-format resource.

Authors:  Benjamin C Yvernault; Charles D Theobald; Jolinda C Smith; Victoria Villalta; David H Zald; Bennett A Landman
Journal:  Neuroinformatics       Date:  2014-10

4.  GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.

Authors:  Tom Doel; Dzhoshkun I Shakir; Rosalind Pratt; Michael Aertsen; James Moggridge; Erwin Bellon; Anna L David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin
Journal:  Comput Methods Programs Biomed       Date:  2016-11-10       Impact factor: 5.428

5.  Real-Color Volume Models Made from Real-Color Sectioned Images of Visible Korean.

Authors:  Beom Sun Chung; Jin Seo Park
Journal:  J Korean Med Sci       Date:  2019-03-07       Impact factor: 2.153

6.  Multicenter CT phantoms public dataset for radiomics reproducibility tests.

Authors:  Petros Kalendralis; Alberto Traverso; Zhenwei Shi; Ivan Zhovannik; René Monshouwer; Martijn P A Starmans; Stefan Klein; Elisabeth Pfaehler; Ronald Boellaard; Andre Dekker; Leonard Wee
Journal:  Med Phys       Date:  2019-01-29       Impact factor: 4.071

  6 in total

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