Documentation/4.x/Acknowledgments

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4.x 3.x 2.x ALL VERSIONS

Citing Slicer

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.

Ongoing Slicer support depends on YOU

  • Please give the Slicer repository a star on github. This is an easy way to show thanks and it can help us qualify for useful services that are only open to widely recognized open projects.
  • Don't forget to cite our publications because that helps us get new grant funding.
  • If you find Slicer is helpful like the community please get involved. You don't need to be a programmer to help!

Major Contributors

  • 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
  • Gabor Fichtinger
  • Andras Lasso
  • Csaba Pinter
  • Jim Miller
  • Sonia Pujol: Director of Training
  • Junichi Tokuda
  • Lauren O'Donnell
  • Andinet Enquobahrie
  • Beatriz Paniagua

Contributors are not only developers, but also individual helping to secure funding and move the platform forward.

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, Andinet Enquobahrie, Beatriz Paniagua, Matt McCormick, Johan Andruejol, Max Smolens, Alexis Girault, Sam Horvath
  • University of Iowa: Hans Johnson
  • GE: Jim Miller
  • Perk Lab, Queen's University: Andras Lasso, Tamas Ungi, Csaba Pinter, Gabor Fichtinger
  • Kapteyn Astronomical Institute, University of Groningen: Davide Punzo

Funding Sources

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 competitive grants and contracts.

Grants

Project Name Grant Number and NIH Link Title (and Project Page) Grant PIs Start Date End Date
3D Slicer for Image Guided Therapy CAN RS-214 / 3D Slicer SlicerIGT Gabor Fichtinger, PerkLab, Queen's University 2017-07-15 2020-09-30
Pediatric Valve Modeling-Slicer Heart NA PediatricValveModeling Matthew Jolley 2015-08-15 2020-08-15
DiffusionMRI 2P41EB015898 Image Guided Therapy Center Clare M. Tempany 2004-04-01 2020-06-30
Shape 1R01EB021391 Shape Analysis Toolbox for Medical Image Computing Projects Beatriz Paniagua 2016-09-19 2020-06-30
National Center for Image Guided Therapy 5P41EB015898 Use of Slicer in a Wide Array of Image-guided Therapy Research for Prostate Cancer, Neurosurgery, and Image Navigation Clare M. Tempany 2004-04-01 2020-06-30
Slicer-Radiomics-U24 1U24CA194354 Quantitative Radiomics System Decoding the Tumor Phenotype Hugo Aerts 2015-04-01 2020-03-31
Slicer-Radiomics-U01 1U01CA190234 Genotype and Imaging Phenotype Biomarkers in Lung Cancer Hugo Aerts 2015-01-01 2019-12-01
Tools to Analyze Morphology and Spatially Mapped Molecular Data 5U24CA180924 Tools to Analyze Morphology and Spatially Mapped Molecular Data Joel Saltz 2014-09-01 2019-08-31
NIRView (Dartmouth) 5R01CA184354 MRI Fluorescence Tomography For Quantifying Tumor Receptor Concentration in vivo Scott C. Davis 2014-04-01 2019-02-28
VROrthognathic R43DE027595 High-Fidelity Virtual Reality Trainer for Orthognathic Surgery Beatriz Paniagua 2017-09-07 2018-09-06
CMF R21DE025306 Textural Biomarkers of Arthritis for the Subchondral Bone in the Temporomandibular Joint Beatriz Paniagua 2016-09-01 2018-08-31
HD_SHAPEANALSS 1U01NS082086 4D Shape Analysis for Modeling Spatiotemporal Change Trajectories in Huntington’s Disease Guido Gerig 2012-09-28 2018-08-31
QIICR U24 CA180918 Quantitative Image Informatics for Cancer Research (QIICR) Ron Kikinis, Andrey Fedorov 2013-09-04 2018-08-31
SlicerDMRI Diffusion MRI 1U01CA199459 Open Source Diffusion MRI Technology for Brain Cancer Research Lauren Jean O'Donnell 2015-09-22 2018-07-31
HD_KIDS 5R01NS055903 Growth and Development of the Striatum in Huntington's Disease Peggy Nopoulos 2009-03-01 2018-07-31
DiffusionMRI 5P41EB015902 Neuroimaging Analysis Center (NAC) Ron Kikinis 2013-08-01 2018-05-31
Neuroimage Analysis Center 4P41EB015902 Application of Slicer to Image-guided Neurosurgery and other Applications through Steered Computation and Image Navigation Databases Ron Kikinis 2013-08-01 2018-05-31
Craniosynostosis 2R42HD081712 Image-guided Planning System for Skull Correction in Children with Craniosynostosis: Phase II Marius George Linguraru 2016-05-01 2018-04-30
DWI R01CA160902 Advancement and Validation of Prostate Diffusion and Spectroscopic MRI Stephan E. Maier 2012-04-01 2018-02-28
CMF 1R01DE024450 Quantification of 3D Bony Changes In Temporomandibular Joint Osteoarthritis Lucia Cevidanes 2013-09-10 2017-08-31
PET/CT Calibration Phantom 2R42CA167907 Calibrated Methods for Quantitative PET/CT Imaging Phase II Paul E. Kinahan 2012-05-01 2017-07-31
HD_TRACKON NA TRACK-ON HD Sarah Tabrizi 2012-01-01 2016-12-31
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
HD_TRAJECTORY NA Developing a Robust Segmentation Pipeline that Allows for Consistent Trajectory Estimation of HD Gene Positive Individuals across Multiple Longitudinal MRI Sites Eun Young Kim 2014-11-01 2016-10-31
Craniosynostosis 1R41HD081712 Image-Guided Planning System for Skull Correction in Children with Craniosynostos Marius George Linguraru 2014-09-26 2016-08-31
HD_PREDICT 5R01NS040068 Neurobiological Predictors of Huntington's Disease (PREDICT-HD) Jane Paulsen 2000-08-01 2016-08-31
PET-CT guided needle biopsy 3R42CA153488 Improving Liver Lesion Biopsy in the CT Suite Through Fusion with PET Images Kevin R. Cleary 2012-09-01 2016-08-01
OrthognathicTrac 1R43DE024334 Real-Time Image Guidance for Improved Orthognathic Surgery Andinet A. Enquobahrie 2014-08-05 2016-07-31
PediatricRadiologicDecisionSupport 1R01EB014947 Mi2B2 Enabled Pediatric Radiological Decision Support Shawn N. Murphy 2012-08-01 2016-07-31
ProstateBRP 5R01CA111288 Enabling Technologies for MRI-guided Prostate Interventions Clare M. Tempany 2004-12-01 2016-07-01
ProstateQIN 5U01CA151261 Quantitative MRI of Prostate Cancer as a Biomarker and Guide for Treatment Fiona M. Fennessy 2010-09-01 2016-07-01
HD_GENETICS 1U01NS082074 Imaging and Genetics in Huntington's Disease Turner Calhoun 2013-07-01 2016-06-30
HD_PET 1U01NS083173 Brain Network Imaging: A Novel Biomarker for Preclinical Huntington’s Disease Andrew Feigin 2013-07-01 2016-06-30
TubeTK 1R01CA170665 Micro-Tumor Detection by Quantifying Tumor-induced Vascular Abnormalities Paul A. Dayton 2012-09-01 2016-06-01
HD_WHITEMATTER 1U01NS083223 Characterization of White Matter in Huntington’s Disease using Diffusion MRI Carl-Fredrik Westin 2014-01-01 2015-12-31
Slicer-RT NA Cancer Care Ontario Research Chair, Canada Gabor Fichtinger, PerkLab, Queen's University 2010-01-01 2015-12-31
HD_FMRI_DWI 1U01NS082083 Functional Connectivity in Pre-manifest Huntington’s Disease Stephen Mark Rao 2012-09-26 2015-08-31
Duke Prostate Registration 1R41CA196565 Prostate Cancer Assessment via Integrated 3D ARFI Elasticity Imaging and Multi-Parametric MRI Mark L. Palmeri, Matthew M. McCormick 2015-04-01 2015-04-01
TubeTK 1R43EB016621 In-Field Fast Procedure Support and Automation Stephen R. Aylward 2013-05-01 2015-04-01
TubeTK 1R41NS081792 Multimodality Image-based Assessment System for Traumatic Brain Injury Stephen R. Aylward 2013-01-01 2014-12-01
PET-CT guided needle biopsy 2R42CA153488 Improving Liver Lesion Biopsy in the CT Suite through Fusion with PET Images Kevin R. Cleary 2012-09-01 2014-08-01
TubeTK 1R43CA165621 Quantitative Ultrasound Analysis of Vascular Morphology for Cancer Assessment Stephen R. Aylward 2012-12-01 2014-08-01
HD_SUBCORTICAL_SHAPE 5U01NS082085 Basal Ganglia Shape Analysis and Circuitry in Huntington's Disease Michael Miller, Christopher Ross 2012-09-26 2014-07-31
HD_DWI 5U54EB005149 National Alliance for Medical Image Computing (NA-MIC) Ron Kikinis 2010-09-30 2014-06-30
HD_FMRI 5R01NS054893 Cognitive and Functional Brain Changes in Preclinical Huntington's Disease (HD) Jane Paulsen 2007-05-15 2013-04-30
PET-CT guided needle biopsy 1R41CA153488 Improving Liver Lesion Biopsy in the CT Suite through Fusion with PET Images Kevin R. Cleary 2010-07-01 2012-06-01

For more information on how this table was created, see this page.

Commercial Partners

  • Ebatinca SL is an international technology company in Las Palmas, Spain focused on technology for sustainable development.
  • 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 has a long history of leading and contributing to open source platforms that serve as the foundation of many medical visualization and data processing applications. Kitware collaborates with customers to meet the demand for the development of proprietary applications and commercial products based on 3D Slicer. The company, whose focus is on solving the world’s most complex scientific challenges through customized software, has used 3D Slicer to rapidly prototype solutions in nearly every aspect of medical imaging and is collaborating on the development of commercial pre-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.