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Draft:Weasis

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  • Comment: Please rewrite the article from a neutral point of view. Please add inline citations to all sentences that are currently lacking citations. Please ensure the lead is understandable to a general audience (e.g., provide context for someone unfamiliar with "PACS, RIS, HIS, or EHR systems" - say what the software is, not what its features are or what it's compatible with. Please focus the article on what has been covered about the topic in independent, reliable sources. Caleb Stanford (talk) 07:42, 10 March 2025 (UTC)
  • Comment: Reads like an advertisement with a full features list, as well as the "benefits". Anything that can't be attributed to independent, reliable sources should be removed. Utopes (talk / cont) 06:13, 19 January 2025 (UTC)


An Open-Source DICOM Viewer
Original author(s)Nicolas Roduit
Developer(s)Weasis Teams
Initial release4 November 2010; 14 years ago (2010-11-04)
Stable release
v4.6.0 / April 17, 2025; 15 days ago (2025-04-17)
Repositorygithub.com/nroduit/Weasis
Written inJava
Operating systemWindows, Linux, macOS
Available in23 languages
List of languages
Bosnian (Bosnia and Herzegovina), Bulgarian (Bulgaria), Chinese (China), Chinese (Taiwan), Chinese Simplified, Croatian (Croatia), Czech, French, English, German, Greek, Italian, Japanese, Polish (Poland), Portuguese, Portuguese (Brazil), Romanian, Russian (Russia), Serbian (Serbia), Spanish, Turkish, Vietnamese, Vietnamese (Viet Nam)
TypeMedical Imaging, DICOM
Websiteweasis.org

Weasis is an open-source DICOM viewer designed for the visualization and analysis of medical images. It features integration capabilities with healthcare systems such as Picture Archiving and Communication Systems (PACS), Radiology Information Systems (RIS), and Electronic Health Records (EHR). This broad integration supports its use across various medical imaging workflows[1][2][3], collaborative research environments[4], and simulation training in diagnostic radiology education.[5][6]

Development History

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Weasis was originally developed in 2008 as part of the medical imaging software ecosystem at Geneva University Hospitals (HUG). In 2009, it was presented as a web-based image viewer compliant with the Web Access to DICOM Objects (WADO) standard at the Radiological Society of North America (RSNA) annual meeting.[7] The project aimed to establish a vendor-neutral DICOM viewer suitable for diverse healthcare contexts.

After becoming open-source in 2010, Weasis has continuously evolved through HUG and community contributions. These updates enabled features such as its implementation in cost-effective PACS solutions for emerging countries,[3] progress in quantitative imaging analysis,[8][9] and the integration of touchless control functionalities utilizing Leap Motion[10] and Kinect devices.[11]

Features

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Weasis supports DICOM communication with image archive systems, including sending (DICOM Send and STOW-RS) and retrieving (C-GET, C-MOVE and DICOMWeb). For portability, it can be included on CDs, DVDs, or USB drives for offline use in different medical contexts.

Weasis supports a range of DICOM file types, including multi-frame and enhanced formats. It integrates tools for fundamental image manipulation, including panning, zooming, rotation, window level adjustment, filtering, and navigation through image series. Furthermore, it provides functionalities for linear, area and angular measurements on medical images.

For advanced image rendering, Weasis incorporates Multi-Planar Reconstruction (MPR) to generate reformatted planar views in any desired orientation, and Maximum Intensity Projection (MIP) to enhance the visualization of structures with high attenuation values. Additionally, volume rendering capabilities enable three-dimensional visualization.

Licensing and Availability

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Weasis is released under the Eclipse Public License 2.0 or Apache 2.0, making it freely available for modification and distribution. The software is compatible with Windows, macOS, and Linux operating systems, and supports multiple processor architectures. Installation packages and documentation are accessible through the official website.[12]

References

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  1. ^ "Integration - Weasis Documentation". weasis.org. Retrieved 2025-01-05.
  2. ^ Iotti, Bryan; Valazza, Alberto (2014-05-03). "A Reliable, Low-Cost Picture Archiving and Communications System for Small and Medium Veterinary Practices Built Using Open-Source Technology". Journal of Digital Imaging. 27 (5): 563–570. doi:10.1007/s10278-014-9692-1. PMC 4171423. PMID 24793019.
  3. ^ a b Ratib, Osman; Roduit, Nicolas; Nidup, Dechen; De Geer, Gerard; Rosset, Antoine; Geissbuhler, Antoine (2016-10-01). "PACS for Bhutan: a cost effective open source architecture for emerging countries". Insights into Imaging. 7 (5): 747–753. doi:10.1007/s13244-016-0512-7. ISSN 1869-4101. PMC 5028341. PMID 27465482.
  4. ^ Haak, Daniel; Page, Charles-E.; Deserno, Thomas M. (April 2016). "A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging". Journal of Digital Imaging. 29 (2): 206–215. doi:10.1007/s10278-015-9833-1. ISSN 1618-727X. PMC 4788610. PMID 26482912.
  5. ^ Shu, Liqi; Bahri, Faraien; Mostaghni, Navid; Yu, Gang; Javan, Ramin (February 2021). "The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training". Journal of Digital Imaging. 34 (1): 212–227. doi:10.1007/s10278-020-00405-2. ISSN 1618-727X. PMC 7886946. PMID 33269448.
  6. ^ "DICOM / PACS viewing software for radiology trainees - Radiology Cafe". 2023-09-01. Retrieved 2025-04-26.
  7. ^ "WEASIS: A Free and Multifunctional Web-based Image Viewer, WADO Compliant". archive.rsna.org. Retrieved 2025-01-05.
  8. ^ Yang, Hao; Schwartz, Lawrence H.; Zhao, Binsheng (2016). "A Response Assessment Platform for Development and Validation of Imaging Biomarkers in Oncology". Tomography (Ann Arbor, Mich.). 2 (4): 406–410. doi:10.18383/j.tom.2016.00223. ISSN 2379-139X. PMC 6037929. PMID 30042969.
  9. ^ Zhao, Binsheng; Dercle, Laurent; Yang, Hao; Riely, Gregory J.; Kris, Mark G.; Schwartz, Lawrence H. (2024-11-20). "Annotated test-retest dataset of lung cancer CT scan images reconstructed at multiple imaging parameters". Scientific Data. 11 (1): 1259. Bibcode:2024NatSD..11.1259Z. doi:10.1038/s41597-024-04085-3. ISSN 2052-4463. PMC 11579286. PMID 39567508.
  10. ^ Hsieh, Derick (2014). Touchless gesture recognition system for imaging controls in sterile environment - UBC Library Open Collections. open.library.ubc.ca (Thesis). doi:10.14288/1.0167492. Retrieved 2025-01-05.
  11. ^ Wipfli, Rolf; Dubois-Ferrière, Victor; Budry, Sylvain; Hoffmeyer, Pierre; Lovis, Christian (2016-04-15). "Gesture-Controlled Image Management for Operating Room: A Randomized Crossover Study to Compare Interaction Using Gestures, Mouse, and Third Person Relaying". PLOS ONE. 11 (4): e0153596. Bibcode:2016PLoSO..1153596W. doi:10.1371/journal.pone.0153596. ISSN 1932-6203. PMC 4833285. PMID 27082758.
  12. ^ "Getting Started - Weasis Documentation". weasis.org. Retrieved 2025-01-05.
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