About CamiTK

A platform for Computer Assisted Medical Intervention

CamiTK (Computer Assisted Medical Intervention Tool Kit) helps researchers and clinicians collaborate and build prototype CAMI applications combining medical imaging, surgical navigation and biomechanical simulation.

Designed for research labs and R&D teams, CamiTK allows rapid prototyping while maintaining a robust software architecture suitable for real clinical experiments.

Key facts

TIMC scientific plateform

Developed by a core team and many contributors and supported by sponsors

Free/Open Source

CamiTK is a free and open-source platform licensed under the . Extensions can be licensed freely (open or closed)

Cross-Platform

Available out-of-the-box for
Windows and Linux

Latest Version

CamiTK 6.0.0

Ready-to-use apps

For prototyping workflows

C++ core

High-performance framework based on well maintained libraries (Qt/VTK/ITK)

Python extensions

Support for Python and C++ extensions for rapid experimentation

Nearly 200 extensions

Available imaging and mesh processing extensions

What CamiTK Provides

Interactive Prototyping

camitk-imp lets researchers explore, visualize and process medical data interactively

Workflow Execution

camitk-actionstatemachine enables reproducible clinical workflows

Modular Framework

A flexible modular architecture separating domain logic from UI, enabling easy extension and reuse

Extension Ecosystem

Nearly 200 extensions for medical imaging, visualization and processing, including support for common formats (DICOM, Nifti, VTK Image, ITK Image, VTK Mesh, STL, OBJ...)

What you can build with CamiTK

Medical Image Analysis

Load, visualize and process medical images and meshes in 3D using the extension catalog

Surgical Navigation

Integrate spatial medical data, frames and transformations required for navigation systems

Research Prototyping

Quickly integrate innovative algorithms as Python or C++ extensions

Collaborative Platforms

Aggregate and consolidate research developments into a common framework

Project team and contributors

CamiTK is developed by the passionate Computer Assisted Medical Intervention team of the TIMC laboratory at Université Grenoble Alpes.

CamiTK project team is composed by:

Manik Bhattacharjee, technical director, CNRS research engineer.
Emmanuel Promayon, scientific director, professor of Computer Science at Université Grenoble Alpes.

CamiTK would never have been born without Céline Fouard, co-scientific director for over ten years, lecturer-researcher of Computer Science at Université Grenoble Alpes.

Other current and past contributors to the CamiTK Community Edition include (in historical order): Matthieu Chabanas, Christophe Boschet, Yannick Keraval, Aurelien Deram, Vincent Luboz, Vincent Leal, Nicolas Saubat, Claire Sery, Mathieu Bailet, Johan Sarrazin, Sonia Selmi, Pierre-Alain Barraud, Antoine Tacheau, Arthur Derathé, Aurélien Jaffard, Paul Mignon, Matthias Tummers, Maxime Calka, Théophile Tiffet, Jean-Loup Haberbusch,

You can check who is currently contributing by checking the gitlab issue board.

For any feedback do not hesitate to contact us by email or to start a discussion on the issue board

OpenHub independent factoids

Publications and research projects using/citing CamiTK

As CamiTK is an open source framework and contains no obligation (although it would help the project greatly if researchers properly cite CamiTK, see above!), we only list here the visible projects during the recent previous years.

For a more complete list check the google scholar page citations (last 4 years)

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References for 2026

M. C. Picard, M.A. Nazari, P. Perrier, G. Bettega, R. Lartizien, M. Rochette, Y. Payan. A Clinically Compatible Method for Generating Preoperative Finite Element Models to Simulate Facial Appearance and Movements in Orthognathic Surgery. International Journal for Numerical Methods in Biomedical Engineering, 42(2), 2026.

References for 2025

A. Derathé, F. Reche, S. Guy, K. Charrière, B. Trilling, P. Jannin, A. Moreau-Gaudry, B. Gibaud, S. Voros. LapEx: A new multimodal dataset for context recognition and practice assessment in laparoscopic surgery. Scientific Data, 12(1):342, 2025.

References for 2024

G. Barone-Rochette, E. Lecesne, A. Simon, M. Garreau, C. Fouard. New Method CMR-Guided Endomyocardial Biopsy in Suspicion Context of Isolated Cardiac Sarcoidosis.Circulation: Cardiovascular Imaging, 17(4):e015807, 2024.
M.-C. Picard, M. A. Nazari, P. Perrier, G. Bettega, R. Lartizien, M. Rochette, Y. Payan. Automatic orthognathic surgery process: from mesh generation to Finite Element simulation of bone cuts. 29th Congress of the European Society of Biomechanics (ESB 2024), 2024
E. Lecesne. Planification et assistance par fusion d'images multimodales pour l'optimisation de gestes de réparation tissulaire en insuffisance cardiaque. Université de Rennes, PhD thesis, 2024.
J.-L. Haberbusch. Évaluation de la maturité des technologies médicales pilotées par logiciel : vers un modèle non contraignant pour la phase de recherche. Université Grenoble Alpes, PhD thesis, 2024

References for 2023

M.-C. Picard, P. Perrier, M. Nazari, Y. Payan. Model-based simulations of the insertion of tensor threads in patient-specific face: a proof of concept. 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Paris, 2023.
J. I. Peltonen, A.-P. Honkanen, M. Kortesniemi. Quality assurance framework for rapid automatic analysis deployment in medical imaging.Physica Medica, 116():103173, December 2023. doi.
M. Calka. Modélisation biomécanique par éléments finis de la langue: évaluation, production de la parole et perspectives d’application à la chirurgie linguale assistée par ordinateur. Université Grenoble-Alpes, Université Grenoble-Alpes,PhD thesis, 2023.

References for 2022

A. Iribar-Zabala, R. Benito, G. Sánchez-Merino, C. A. Cortes, M. A. Garcia-Fidalgo, K. Lopez-Linares, Á. Bertelsen. MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1-9, nov 2022
J. Moolenaar, N. Tümer, S. Checa. Computer-Assisted Preoperative Planning of Bone Fracture Fixation Surgery: A State-Of-The-Art Review. biomedical & chemical engineering, sep 2022.
S. Guy, J.-L. Haberbusch, E. Promayon, S. Mancini, S. Voros. Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy. Journal of Imaging, 8(3):52, feb 2022.

References for 2021

M. Boudissa; B. Noblet; G. Bahl; H. Oliveri; M. Herteleer; J. Tonetti; M. Chabanas. Planning acetabular fracture reduction using a patient-specific biomechanical model: a prospective and comparative clinical study.International Journal of Computer Assisted Radiology and Surgery, 16(8):1305-1317, 2021.
V. Ivanova, P. Vasilev; I. Stoianov; R. Andreev; A. Boneva. Design of a Multifunctional Operating Station Based on Augmented Reality (MOSAR). Cybernetics and Information Technologies, 21():119-136, March 2021..
P. Shametaj. Positioning and orientation control of a needle-Insertion MRI compatible medical robot based on ROS using visual feedback. MS Thesis,University of Twente. 2021.
S. Wang, J. Frisbie, Z. Keepers, Z. Bolten, A. Hevaganinge, E. Boctor, S. Leonard, J. Tokuda, A. Krieger, M. Minhaj Siddiqui. The Use of Three-dimensional Visualization Techniques for Prostate Procedures: A Systematic Review. European Urology Focus, 7(6):1274-1286, nov 2021.

References for 2020

Pour Arab, D.; Voros, S.; Essert, C. Dynamic path planning for percutaneous procedures in the abdomen during free breathing. International Journal of Computer Assisted Radiology and Surgery, Springer, 2020.
Derathé, A.; Reche, F.; Moreau-Gaudry, A.; Jannin, P.; Gibaud, B.; Voros, S. Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos. International Journal of Computer Assisted Radiology and Surgery, Springer, 2020, 15, 59-67.
Lapouge, G.; Fiard, G.; Poignet, P.; Troccaz, J. Efficient target tracking for 3D ultrasound-guided needle steering. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 2020, 11315, 113150I.
Lapouge, G.; Poignet, P.; Troccaz, J. Towards 3D ultrasound guided needle steering robust to uncertainties, noise and tissue heterogeneity. IEEE Transactions on Biomedical Engineering, IEEE, 2020
Fiard, G.; Selmi, S.-Y.; Maigron, M.; Bellier, A.; Promayon, E.; Descotes, J.-L.; Troccaz, J. Validating the transfer of skills acquired on a prostate biopsy simulator: a prospective, randomized, controlled study. Journal of Surgical Education, 2020, 77, 953 - 960
Lasso, A.; Kazanzides, P. System integration. Handbook of Medical Image Computing and Computer Assisted Intervention, Elsevier, 2020, 861-891
Thompson, S.; Dowrick, T.; Ahmad, M.; Xiao, G.; Koo, B.; Bonmati, E.; Kahl, K. & Clarkson, M. SciKit-Surgery: compact libraries for surgical navigation. International Journal of Computer Assisted Radiology and Surgery, Springer, 2020