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dr. V. Groenhuis (Vincent)

Postdoc

Expertise

Engineering & Materials Science
Biopsy
Magnetic Resonance Imaging
Needles
Phantoms
Pneumatics
Robotics
Robots
Ultrasonics

Research

My research focuses on medical robotics and stepper motor technology. Technological advances could improve diagnosis and treatment of e.g. cancer in the breast of bladder, while innovative pneumatic and electric stepper motors offer new ways of actuating various applications.

Sunram is an MRI-guided robotic system for breast biopsy. Being operated by pneumatic stepper motors it is safe to use inside an MRI scanner. The fifth generation is Sunram 5 (video), while new prototypes are being developed regularly.

The Next-gen in-vivo project focuses on bladder cancer diagnostics using a robotically-steered instrument with an optical coherence tomography sensor in its tip. In this project I primarily focus on the imaging side

Multi-axis electric stepper motors offer an innovative way of actuating multiple degrees of freedom using a singular stator which drives multiple rotors simultaneously (video), while sensorless absolute encoder motor technology offer a novel way of measuring the absolute position and torque in stepper motors.

Several pneumatic stepper motor designs are open source. See https://www.vincentgroenhuis.nl/wp/home/2019/10/11/stepper-motor-overview/ for an overview of the different variants of which many are directly downloadable. Contact me (v.groenhuis@utwente.nl) for the non-published designs, and any other questions.

 

Publications

Recent
Bluiminck, M. , Groenhuis, V. , Siepel, F. J. , & Stramigioli, S. (2021). Design of 3D Printed Needle Insertion Device and Control Using Mobile Phone Application. In Proceedings of the 8th Dutch Bio-Medical Engineering Conference 2021 BME.
Nikolaev, A. V., de Jong, L., Weijers, G. , Groenhuis, V., Mann, R. M. , Siepel, F. J., Maris, B. M. , Stramigioli, S., Hansen, H. H. G. , & de Korte, C. L. (2021). Quantitative Evaluation of an Automated Cone-based Breast Ultrasound Scanner for MRI - 3D US Image Fusion. IEEE transactions on medical imaging, 40(4), 1229-1239. [9319185]. https://doi.org/10.1109/TMI.2021.3050525
Pilon, A. J. M., van der Woude, R., Venix, L. P. J., Koot, E. , Groenhuis, V., Verhamme, L. M., & Meulstee, J. W. (2021). Robotic transfer of a preoperative plan for open reconstructive craniosynostosis surgery: A pilot study. In Proceedings of the 8th Dutch Bio-Medical Engineering Conference 2021 BME.
Groenhuis, V., Rolff, G., Bosman, K. , Abelmann, L. , & Stramigioli, S. (2021). Multi-Axis Electric Stepper Motor. IEEE Robotics and automation letters, 6(4), 7201-7208. [9484841]. https://doi.org/10.1109/LRA.2021.3097077
Nikolaev, A., de Jong, L., Weijers, G. G. C. , Groenhuis, V. , Siepel, F. J. , Stramigioli, S., Hansen, H. H. G. , & de Korte, C. L. (2021). Automate Cone-Based Breast Ultrasound Scanner For Screening And Biopsy. In Proceedings of the 8th Dutch Bio-Medical Engineering Conference
Maris, B. M., Fiorini, P., Calanca, A., Tenga, C. , Siepel, F. J. , Groenhuis, V. , & Stramigioli, S. (2020). Increasing the precision of the biopsy with robots: two case studies. In Proceedings of the I-RIM Conference 2020 (pp. 1-4)
Groenhuis, V. , Siepel, F. J. , & Stramigioli, S. (2020). Miniaturization of MR Safe Pneumatic Rotational Stepper Motors. 7150-7156. Paper presented at 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China. https://doi.org/10.1109/IROS40897.2019.8968262
Abdelaziz, M. E. M. K., Kundrat, D., Pupillo, M., Kwok, T. M. Y., Chi, W. , Groenhuis, V. , Siepel, F. J., Riga, C. , Stramigioli, S., Yang, G-Z. , & Dagnino, G. (2020). Toward a Versatile Robotic Platform for Fluoroscopy and MRI-Guided Endovascular Interventions: A Pre-Clinical Study. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5411-5418). [8968237] IEEE. https://doi.org/10.1109/IROS40897.2019.8968237
Groenhuis, V., Tagliabue, E. , Welleweerd, M. K. , Siepel, F. J., Munoz Osorio, J. D., Maris, B. M., Dall'Alba, D., Zimmermann, U., Fiorini, P. , & Stramigioli, S. (2020). Deformation Compensation in Robotically-Assisted Breast Biopsy. Abstract from 11th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2020, Munich, Bavaria, Germany.
Nikolaev, A. V., De Jong, L. , Groenhuis, V. , Welleweerd, M. K. , Siepel, F. J. , Stramigioli, S., Hansen, H. H. G. , & De Korte, C. L. (2020). Quantitative evaluation of automated robot-assisted volumetric breast ultrasound. In IUS 2020 - International Ultrasonics Symposium, Proceedings [9251310] (IEEE International Ultrasonics Symposium, IUS; Vol. 2020). IEEE Computer Society Press. https://doi.org/10.1109/IUS46767.2020.9251310
Nikolaev, A., Hansen, H. H. G., De Jong, L., Mann, R., Tagliabue, E., Maris, B. , Groenhuis, V. , Siepel, F., Caballo, M., Sechopoulos, I. , & De Korte, C. L. (2019). Ultrasound-guided breast biopsy of ultrasound occult lesions using multimodality image co-registration and tissue displacement tracking. In B. C. Byram, & N. V. Ruiter (Eds.), Medical Imaging 2019: Ultrasonic Imaging and Tomography [109550W] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10955). SPIE. https://doi.org/10.1117/12.2513630
Groenhuis, V. , Siepel, F. J. , & Stramigioli, S. (2018). Dual-Speed MR Safe Pneumatic Stepper Motors. Paper presented at Robotics: Science and Systems 2018, Pittsburgh, United States. http://www.roboticsproceedings.org/rss14/p30.pdf
Groenhuis, V., Visentin, F. , Siepel, F. J., Maris, B. M., Dall'Alba, D., Fiorini, P. , & Stramigioli, S. (2018). Analytical derivation of elasticity in breast phantoms for deformation tracking. International journal of computer assisted radiology and surgery, 13(10), 1641-1650. https://doi.org/10.1007/s11548-018-1803-x

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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré (building no. 15), room 3718
Hallenweg 23
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré  3718
P.O. Box 217
7500 AE Enschede
The Netherlands