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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
v4.6.1 / June 4, 2025; 27 days ago (2025-06-04)
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 viewing software[1][2][3] for the visualization and analysis of medical images. It integrates with healthcare systems such as picture archiving and communication systems, radiological information systems, and electronic health records.

Weasis has been used for medical imaging,[4][5][6] collaborative research,[7] and radiology education.[8][9]

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 annual meeting.[10] The project aimed to establish a vendor-neutral DICOM viewer suitable for diverse healthcare contexts.

After becoming open-source in 2010,[11] Weasis has evolved through HUG and community contributions. It has been implemented for PACS solutions for emerging countries,[6] quantitative imaging analysis,[12][13] and touchless control using Leap Motion[14] and Kinect devices.[15]

Software

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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,[8] 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 multiplanar reconstruction of CT scans to generate reformatted planar views in any desired orientation, and maximum intensity projection to enhance the visualization of structures with high attenuation values. Additionally, volume rendering capabilities enable three-dimensional visualization.

Licensing

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Weasis is released under the Eclipse Public License 2.0 or Apache 2.0,[16] which allows modification and distribution. The software is compatible with Windows, macOS, and Linux. Installation packages and documentation are made available on the official website.[17]

References

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  1. ^ Shawa, Andrew; Zulu, Ernest Obbie; Phiri, Lighton (2023-12-03). "Software Tools for Supporting Automatic Interpretation of Medical Images". Proceedings of International Conference for ICT (ICICT) - Zambia. 5 (1): 49–52.
  2. ^ Pereira, Hugo; Romero, Luis; Miguel Faria, Pedro (2025-06-01). "Web-Based DICOM Viewers: A Survey and a Performance Classification". Journal of Imaging Informatics in Medicine. 38 (3): 1304–1322. doi:10.1007/s10278-024-01216-5. ISSN 2948-2933. PMC 12092310. PMID 39349783.
  3. ^ Shawa, Andrew; Phiri, Lighton (2025). "Deployment and Evaluation of Intelligent DICOM Viewers in Low-Resource Settings: Orthanc Plugin for Semi-automated Interpretation of Medical Images". In Anazodo, Udunna; Akash, Naren; Fuchs, Moritz; Cintas, Celia; Crimi, Alessandro; Mutsvangwa, Tinahse; Dako, Farouk; Ogallo, Willam (eds.). Medical Information Computing. Communications in Computer and Information Science. Vol. 2240. Cham: Springer Nature Switzerland. pp. 134–143. doi:10.1007/978-3-031-79103-1_14. ISBN 978-3-031-79103-1.
  4. ^ "Integration - Weasis Documentation". weasis.org. Retrieved 2025-01-05.
  5. ^ 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.
  6. ^ 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.
  7. ^ 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.
  8. ^ a b 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.
  9. ^ "DICOM / PACS viewing software for radiology trainees - Radiology Cafe". 2023-09-01. Retrieved 2025-04-26.
  10. ^ "WEASIS: A Free and Multifunctional Web-based Image Viewer, WADO Compliant". archive.rsna.org. Retrieved 2025-01-05.
  11. ^ "dcm4che, a DICOM Implementation in JAVA - Browse /Weasis at SourceForge.net". sourceforge.net. Retrieved 2025-06-29.
  12. ^ 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.
  13. ^ 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.
  14. ^ 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.
  15. ^ 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.
  16. ^ "Weasis/LICENSE at master · nroduit/Weasis". GitHub. Retrieved 2025-06-29.
  17. ^ "Getting Started - Weasis Documentation". weasis.org. Retrieved 2025-01-05.
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