Samuel Charreyron
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Publications1 - 10 of 17
- Multiwavelength Light-Responsive Au/B-TiO2 Janus MicromotorsItem type: Journal Article
ACS NanoJang, Bumjin; Hong, Ayoung; Kang, Ha Eun; et al. (2017) - Rodbot: A Rolling Microrobot for MicromanipulationItem type: Conference Paper
Proceedings of 2015 IEEE International Conference on Robotics and Automation (ICRA)Pieters, Roel S.; Tung, Hsi-Wen; Charreyron, Samuel; et al. (2015) - Magnetic field interpolation for remote magnetic navigation in minimally invasive surgeryItem type: Book Chapter
Woodhead Publishing Series in Electronic and Optical Materials ~ Magnetic Materials and Technologies for Medical ApplicationsCharreyron, Samuel; Nelson, Bradley (2022)Interpolation of magnetic field data can be used to model the fields generated by magnetic navigation system (MNS) for applications in medical robotics. Prediction of magnetic fields is required for the control of magnetically navigated tools at arbitrary positions in the workspace of an MNS. In this chapter, various interpolation methods are detailed and compared. The methods are divided into structured grid interpolation ones that perform interpolation on data located on regular grids using polynomial interpolation, and unstructured radial basis function-based ones, for which the data can be placed at arbitrary positions. This chapter also compares methods that are physically consistent ones, in that they attempt to obey physical constraints that are inherent to the magnetic fields, to methods that are unconstrained. Methods are compared based on their ability to predict magnetic field vectors and magnetic field gradient matrices at unmeasured locations using several numerical metrics, on a synthetic dataset representing fields generated by an MNS. - Remote Magnetic Navigation and Applications in Ophthalmic SurgeryItem type: Doctoral ThesisCharreyron, Samuel (2020)Magnetism has entertained a close relationship with medicine throughout history, but its ability to navigate therapeutic devices inside the human body has emerged in the last few decades thanks to technological improvements in the fabrication, and control of magnetic devices. Remote magnetic navigation of untethered devices, also known as micro or nanorobots, or tethered surgical devices including catheters, endoscopes, and needles can be achieved by generating magnetic fields from outside the human body, using a magnetic navigation system. This thesis is divided in two parts. The first part discusses the prediction of generated magnetic fields, a fundamental task of remote magnetic navigation that is required for simulating, controlling, and localizing magnetically navigated devices. We first explore interpolation based methods, which create continuous representations of magnetic fields using pre-existing data. Several interpolation methods are compared based on their ability to accurately predict magnetic fields and magnetic field gradients, and how well they respect certain physical constraints obeyed by magnetic fields. Magnetic navigation systems using electromagnets that are large enough to perform magnetic navigation at human scales exhibit nonlinear magnetic saturation. We first propose a strategy that can correct for electromagnet saturation in existing linear models. Machine learning based methods are capable of modeling such complex nonlinear behavior with multiple inputs and outputs from data alone. We show an artificial neural network that achieved superior field prediction accuracy to both linear and corrected methods. This was followed by the application of a generative convolutional neural network that far outperformed all other methods. The second part of the thesis concerns the application of remote magnetic navigation for the control of tethered surgical devices in ophthalmology. Surgery on the retina is exceedingly challenging, involves movements and forces that are at the limits of human ability and perception, and for that reason has long been proposed as a candidate for the application of medical robotics. Differing from existing robots that use mechanical transfer of motion to navigate tools inside the cavity of the eye, this work presents flexible devices that are navigated using magnetic fields. Such devices combine fine position control, extreme miniaturization, and enhanced safety over existing rigid tools. We first describe a magnetically navigated laser probe that could be used for treating advanced forms of diabetic retinopathy, a rapidly growing and already leading cause of vision loss. By tracking the laser position in real-time using computer vision, the probe is navigated in closed-loop, and the procedure, which is repetitive, lengthy, and painful for patients, can be automated. There is active research in the development of new therapies for treating diseases that cause degeneration of the retina, particularly age-related macular degeneration, the leading cause of blindness in the developed world. New treatments including virus-carried gene therapies and stem cells need to be delivered close to the targeted areas of the retina for them to be effective. Subretinal injections have been proposed as the most promising pathway for delivery of such therapeutics, but they are a challenging surgical procedure with significant associated risks. We have developed a magnetically navigated cannula that can be navigated throughout the retina with micrometer precision, and with much greater ease than with handheld cannulas. Combined with optical coherence tomography, an increasingly popular imaging method in ophthalmology that enables high-definition 3D visualization of the retina, we show that a cannula can be placed precisely, for safe injections in the subretinal space. Injections were demonstrated in ex-vivo porcine eyes, as a first step towards subretinal delivery in human patients.
- Magnetically powered microrobots: a medical revolution underway?Item type: Other Journal Item
European Journal of Cardio-Thoracic SurgeryChautems, Christophe; Zeydan, Burak; Charreyron, Samuel; et al. (2017) - Modeling Electromagnetic Navigation SystemsItem type: Journal Article
IEEE Transactions on RoboticsCharreyron, Samuel; Boehler, Quentin; Kim, Byungsoo; et al. (2021)Remote magnetic navigation is used for the manipulation of untethered micro and nanorobots, as well as tethered magnetic surgical tools for minimally invasive medicine. Mathematical modeling of the magnetic fields generated by magnetic navigation systems is a fundamental task in the control of such tools for biomedical applications. In this article, we describe and compare several existing and newly developed methods for representations of continuous magnetic fields using interpolation in the context of remote magnetic navigation. Clinical-scale electromagnetic navigation systems feature nonlinear magnetization and magnetization interactions between electromagnets, which renders accurate magnetic field modeling challenging. We first introduce a method that can adapt existing linear models to correct for nonlinear magnetization, with similar performance to the current state-of-the-art nonlinear model. Furthermore, we present a method based on convolutional neural networks. - Real-Time Holographic Tracking and Control of MicrorobotsItem type: Journal Article
IEEE Robotics and Automation LettersHong, Ayoung; Zeydan, Burak; Charreyron, Samuel; et al. (2017) - The variable stiffness catheter: third-generation magnetic cathetersItem type: Conference Paper
Hamlyn Symposium Proceedings 2018Chautems, Christophe; Tonazzini, Alice; Boehler, Quentin; et al. (2018) - Visual-Kinematic Monocular SLAM using a Magnetic EndoscopeItem type: Other Conference Item
Proceedings, Hamlyn Symposium on Medical Robotics 2018Charreyron, Samuel; Boehler, Quentin; Millane, Alexander J.; et al. (2018) - A Magnetically Steered Endolaser Probe for Automated Panretinal PhotocoagulationItem type: Journal Article
IEEE Robotics and Automation LettersCharreyron, Samuel; Gabbi, Edoardo; Boehler, Quentin; et al. (2019)
Publications1 - 10 of 17