To acknowledge 3D Slicer as a platform, please cite the Slicer web site (http://www.slicer.org) and the following publication:
Fedorov A., Beichel R., Kalpathy-Cramer J., Finet J., Fillion-Robin J-C., Pujol S., Bauer C., Jennings D., Fennessy F., Sonka M., Buatti J., Aylward S.R., Miller J.V., Pieper S., Kikinis R. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012 Nov;30(9):1323-41. PMID: 22770690.
Slicer is made possible through contributions from an international community of scientists from a multitude of fields, including engineering and biomedicine. The following sections give credit to some of the major contributors to the 3D Slicer core effort. Each 3D Slicer extension has a separate acknowledgements page with information specific to that extension.
- Ron Kikinis: Principal Investigator
- Steve Pieper: Chief Architect
- Jean-Christophe Fillion-Robin: Lead Developer
- Nicole Aucoin
- Stephen Aylward
- Andrey Fedorov
- Noby Hata
- Hans Johnson
- Tina Kapur
- Andras Lasso
- Jim Miller
- Sonia Pujol: Director of Training
- Junichi Tokuda
- Lauren O'Donnell
Groups Contributing to the Core Engineering of Slicer in a Major Way
- SPL: Ron Kikinis, Nicole Aucoin, Lauren O'Donnell, Andrey Fedorov, Isaiah Norton, Sonia Pujol, Noby Hata, Junichi Tokuda
- Isomics: Steve Pieper, Alex Yarmarkovich
- Kitware: Jean-Christophe Fillion-Robin, Julien Finet, Will Schroeder, Stephen Aylward
- U Iowa: Hans Johnson
- GE: Jim Miller
- Perk Lab, Queen's University: Andras Lasso, Tamas Ungi, Csaba Pinter, Gabor Fichtinger
Many of the activities around the Slicer effort are made possible through funding from public and private sources. The National Institutes of Health of the USA is a major contributor through a variety of competetive grants and contracts.
|Project Name||Grant Number and NIH Link||Title (and Project Page)||Grant PIs||Start Date||End Date|
|CMF||1R01DE024450||Quantification Of 3D Bony Changes In Temporomandibular Joint Osteoarthritis||Cevidanes, Lucia||2013-09-10||2017-08-31|
|Craniosynostosis||1R41HD081712||Image-Guided Planning System For Skull Correction In Children With Craniosynostos||Linguraru, Marius George||2014-09-26||2016-08-31|
|DiffusionMRI||2P41EB015898||Image Guided Therapy Center||Tempany, Clare M||2004-04-01||2020-06-30|
|DiffusionMRI||1U01CA199459||Open Source Diffusion Mri Technology For Brain Cancer Research||O'Donnell, Lauren Jean||2015-09-22||2018-07-31|
|DiffusionMRI||5P41EB015902||Neuroimaging Analysis Center (Nac)||Kikinis, Ron||2013-08-01||2018-05-31|
|Duke Prostate Registration||R41CA196565||Prostate Cancer Assessment Via Integrated 3D Arfi Elasticity Imaging And Multi-Parametric Mri||Palmeri, Mark L.||2015-04-01||2015-04-01|
|DWI||R01CA160902||Advancement And Validation Of Prostate Diffusion And Spectroscopic Mri||Maier, Stephan E||2012-04-01||2018-02-28|
|HD_FMRI_DWI||1U01NS082083||Functional Connectivity in Premanifest Huntington’s Disease||Rao, Stephen Mark||2012-09-26||2015-08-31|
|HD_GENETICS||1U01NS082074||Imaging and Genetics in Huntington's Disease||Calhoun/Turner||2013-07-01||2016-06-30|
|HD_KIDS||5R01NS055903||Growth and Development of the Striatum in Huntington's Disease||Nopoulos, Peggy||2009-03-01||2018-07-31|
|HD_PET||1U01NS083173||Brain Network Imaging: A Novel Biomarker for Preclinical Huntington’s Disease||Feigin, Andrew||2013-07-01||2016-06-30|
|HD_PREDICT||5R01NS040068||Neurobiological Predictors of Huntington's Disease (PREDICT-HD)||Paulsen, Jane||2000-08-01||2016-08-31|
|HD_SHAPEANALSS||1U01NS082086||4D Shape Analysis for Modeling Spatiotemporal Change Trajectories in Huntington’s||Gerig, Guido||2012-09-28||2018-08-31|
|HD_TRAJECTORY||NA||Developing a Robust Segmentation Pipeline That Allows for Consistent Trajectory Estimation of HD Gene Positive Individuals Across Multiple Longitudinal MRI Sites||Kim, Eun Young||2014-11-01||2016-10-31|
|HD_WHITEMATTER||1U01NS083223||Characterization of White Matter in Huntington’s Disease Using Diffusion MRI||Westin, Carl-Fredrik||2014-01-01||2015-12-31|
|NIRView (Dartmouth)||5R01CA184354||Mri Fluorescence Tomography For Quantifying Tumor Receptor Concentration In Vivo||Davis, Scott C.||2014-04-01||2019-02-28|
|OrthognathicTrac||1R43DE024334||Real-Time Image Guidance For Improved Orthognathic Surgery||Enquobahrie, Andinet A.||2014-08-05||2016-07-31|
|PediatricRadiologicDecisionSupport||1R01EB014947||Mi2B2 Enabled Pediatric Radiological Decision Support||Murphy, Shawn N||2012-08-01||2016-07-31|
|PET-CT guided needle biopsy||3R42CA153488||Improving Liver Lesion Biopsy In The Ct Suite Through Fusion With Pet Images||Cleary, Kevin R.||2012-09-01||2016-08-01|
|PET/CT Calibration Phantom||2R42CA167907||Calibrated Methods For Quantitative Pet/Ct Imaging Phase Ii||Kinahan, Paul E||2012-05-01||2017-07-31|
|PET/CT Calibration Phantom||R42CA167907||Calibrated Methods For Quantitative Pet/Ct Imaging Phase Ii||Kinahan, Paul E.||2012-05-01||2017-07-01|
|ProstateBRP||5R01CA111288||Enabling Technologies For Mri-Guided Prostate Interventions||Tempany, Clare M.||2004-12-01||2016-07-01|
|ProstateQIN||5U01CA151261||Quantitative Mri Of Prostate Cancer As A Biomarker And Guide For Treatment||Fennessy, Fiona||2010-09-01||2016-07-01|
|QIICR||U24 CA180918||Quantitative Image Informatics for Cancer Research (QIICR)||Ron Kikinis, Andrey Fedorov||2013-09-04||2018-08-31|
|Slicer-Radiomics-U01||1U01CA190234||Genotype And Imaging Phenotype Biomarkers In Lung Cancer||Aerts, Hugo||2015-01-01||2019-12-01|
|Slicer-Radiomics-U24||U24CA194354||Quantitative Radiomics System Decoding the Tumor Phenotype||Aerts, Hugo||2015-04-01||2020-03-31|
|Slicer-RT||NA||Cancer Care Ontario Applied Cancer Research Unit, Canada||Gabor Fichtinger, PerkLab, Queen's University||2011-01-01||2016-12-31|
|Slicer-RT||NA||Ontario Consortium for Adaptive Interventions in Radiation Oncology, Canada||David Jaffray, Princess Margaret Hospital, Toronto||2011-01-01||2016-12-31|
|Slicer-RT||NA||Cancer Care Ontario Research Chair, Canada||Gabor Fichtinger, PerkLab, Queen's University||2010-01-01||2015-12-31|
|TubeTK||1R01CA170665||Micro-Tumor Detection By Quantifying Tumor-Induced Vascular Abnormalities||Dayton, Paul A.||2012-09-01||2016-06-01|
|TubeTK||1R43EB016621||In-Field Fast Procedure Support And Automation||Aylward, Stephen R.||2013-05-01||2015-04-01|
|TubeTK||1R41NS081792||Multimodality Image-Based Assessment System For Traumatic Brain Injury||Aylward, Stephen R.||2013-01-01||2014-12-01|
For more information on how this table was created, see this page.
- Isomics uses 3D Slicer in a variety of academic and commercial research partnerships in fields such as planning and guidance for neurosurgery, quantitative imaging for clinical trials, clinical image informatics.
- Kitware Integral to continuing to support the 3D Slicer community, Kitware is also offering consulting services in response to the rapidly growing demand for the development of proprietary applications and commercial products based on 3D Slicer. Kitware has used 3D Slicer to rapidly prototype solutions in nearly every aspect of medical imaging and is also collaborating on the development of commercial pre-clinical and clinical products based on 3D Slicer.
- Pixel Medical builds on and contributes to 3D Slicer to develop innovative medical software from idea to clinical prototype to finished product, and to support academic research projects. Areas of expertise include radiation therapy, image guided therapy, virtual & augmented reality, hardware & device support, and machine learning & artificial intelligence.
Listed in alphabetical order.
Slicer Based Products and Product Prototypes
Many companies prefer not to disclose what software components they use in their products, therefore here we can only list a few commercial products that are based on 3D Slicer:
- Allen Institute for Brain Science: Cell Locator, Desktop application for manually aligning specimens to annotated 3D spaces.
- Radiopharmaceutical Imaging and Dosimetry: RPTDose, a 3D Slicer-based application that streamlines and integrates quantitative imaging analysis and dose estimation techniques to guide and optimize the use of radiopharmaceutical therapy agents in clinical trials. See more information on Kitware blog.
- SonoVol is developing a whole-body ultrasound imaging system for small animals. This start-up company arose from research in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. See more information on Kitware blog.
- Xoran Technologies: Image-guided Platform for Deep Brain Stimulation Surgery 1. See more information on Kitware blog.
- Xstrahl is developing a Small Animal Radiation Research Platform (SARRP) that uses 3D Slicer as its front-end application for radiation therapy beam placement and system control. See more information on Kitware blog.
Listed in alphabetical order.