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Li N, Fei P, Tous C, Rezaei Adariani M, Hautot ML, Ouedraogo I, Hadjadj A, Dimov IP, Zhang Q, Lessard S, Nosrati Z, Ng CN, Saatchi K, Häfeli UO, Tremblay C, Kadoury S, Tang A, Martel S, Soulez G. Human-scale navigation of magnetic microrobots in hepatic arteries. Sci Robot 2024; 9:eadh8702. [PMID: 38354257 DOI: 10.1126/scirobotics.adh8702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 01/17/2024] [Indexed: 02/16/2024]
Abstract
Using external actuation sources to navigate untethered drug-eluting microrobots in the bloodstream offers great promise in improving the selectivity of drug delivery, especially in oncology, but the current field forces are difficult to maintain with enough strength inside the human body (>70-centimeter-diameter range) to achieve this operation. Here, we present an algorithm to predict the optimal patient position with respect to gravity during endovascular microrobot navigation. Magnetic resonance navigation, using magnetic field gradients in clinical magnetic resonance imaging (MRI), is combined with the algorithm to improve the targeting efficiency of magnetic microrobots (MMRs). Using a dedicated microparticle injector, a high-precision MRI-compatible balloon inflation system, and a clinical MRI, MMRs were successfully steered into targeted lobes via the hepatic arteries of living pigs. The distribution ratio of the microrobots (roughly 2000 MMRs per pig) in the right liver lobe increased from 47.7 to 86.4% and increased in the left lobe from 52.2 to 84.1%. After passing through multiple vascular bifurcations, the number of MMRs reaching four different target liver lobes had a 1.7- to 2.6-fold increase in the navigation groups compared with the control group. Performing simulations on 19 patients with hepatocellular carcinoma (HCC) demonstrated that the proposed technique can meet the need for hepatic embolization in patients with HCC. Our technology offers selectable direction for actuator-based navigation of microrobots at the human scale.
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Affiliation(s)
- Ning Li
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Phillip Fei
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Cyril Tous
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Mahdi Rezaei Adariani
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
- Inria, Palaiseau 91120, France
| | - Marie-Lou Hautot
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Inès Ouedraogo
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Nantes, Nantes 44035, France
| | - Amina Hadjadj
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Ivan P Dimov
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Quan Zhang
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
- School of Artificial Intelligence, Shanghai University, Shanghai 200444, China
| | - Simon Lessard
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Zeynab Nosrati
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Courtney N Ng
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Katayoun Saatchi
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Urs O Häfeli
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Charles Tremblay
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Québec H3T 1J4, Canada
| | - Samuel Kadoury
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Québec H3T 1J4, Canada
| | - An Tang
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec H2X 0C1, Canada
| | - Sylvain Martel
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Québec H3T 1J4, Canada
- Department of Bioengineering, McGill University, Montréal, Québec H3A 0E9, Canada
| | - Gilles Soulez
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec H2X 0C1, Canada
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Li N, Tous C, Dimov IP, Fei P, Zhang Q, Lessard S, Tang A, Martel S, Soulez G. Design of a Low-Cost, Self-Adaptive and MRI-Compatible Cardiac Gating System. IEEE Trans Biomed Eng 2023; 70:3126-3136. [PMID: 37276095 DOI: 10.1109/tbme.2023.3280348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
OBJECTIVE Cardiac gating, synchronizing medical scans with cardiac activity, is widely used to make quantitative measurements of physiological events and to obtain high-quality scans free of pulsatile artefacts. This can provide important information for disease diagnosis, targeted control of medical microrobots, etc. The current work proposes a low-cost, self-adaptive, MRI-compatible cardiac gating system. METHOD The system and its processing algorithm, based on the monitoring and analysis of blood pressure waveforms, are proposed. The system is tested in an in vitro experiment and two living pigs using four-dimensional (4D) flow magnetic resonance imaging (MRI) and two-dimensional phase-contrast (2D-PC) sequences. RESULTS in vitro and in vivo experiments reveal that the proposed system can provide stable cardiac synchronicity, has good MRI compatibility, and can cope with the fringe magnetic field of the MRI scanner, radiofrequency signals during image acquisition, and heart rate changes. High-resolution 4D flow imaging is successfully acquired both in vivo and in vitro. The difference between the 2D and 4D measurements is ≤ 21%. The incidence of false triggers is 0% in all tests, which is unattainable for other known cardiac gating methods. CONCLUSION The system has good MRI compatibility and can provide a stable and accurate trigger signal based on pressure waveform. It opens the door to applications where the previous gating methods were difficult to implement or not applicable.
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Go G, Yoo A, Nguyen KT, Nan M, Darmawan BA, Zheng S, Kang B, Kim CS, Bang D, Lee S, Kim KP, Kang SS, Shim KM, Kim SE, Bang S, Kim DH, Park JO, Choi E. Multifunctional microrobot with real-time visualization and magnetic resonance imaging for chemoembolization therapy of liver cancer. SCIENCE ADVANCES 2022; 8:eabq8545. [PMID: 36399561 PMCID: PMC9674283 DOI: 10.1126/sciadv.abq8545] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/30/2022] [Indexed: 05/28/2023]
Abstract
Microrobots that can be precisely guided to target lesions have been studied for in vivo medical applications. However, existing microrobots have challenges in vivo such as biocompatibility, biodegradability, actuation module, and intra- and postoperative imaging. This study reports microrobots visualized with real-time x-ray and magnetic resonance imaging (MRI) that can be magnetically guided to tumor feeding vessels for transcatheter liver chemoembolization in vivo. The microrobots, composed of a hydrogel-enveloped porous structure and magnetic nanoparticles, enable targeted delivery of therapeutic and imaging agents via magnetic guidance from the actuation module under real-time x-ray imaging. In addition, the microrobots can be tracked using MRI as postoperative imaging and then slowly degrade over time. The in vivo validation of microrobot system-mediated chemoembolization was demonstrated in a rat liver with a tumor model. The proposed microrobot provides an advanced medical robotic platform that can overcome the limitations of existing microrobots and current liver chemoembolization.
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Affiliation(s)
- Gwangjun Go
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea
| | - Ami Yoo
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
| | - Kim Tien Nguyen
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
| | - Minghui Nan
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
| | - Bobby Aditya Darmawan
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea
| | - Shirong Zheng
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea
| | - Byungjeon Kang
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- College of AI Convergence, Chonnam National University, Gwangju 34931, Korea
| | - Chang-Sei Kim
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea
| | - Doyeon Bang
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- College of AI Convergence, Chonnam National University, Gwangju 34931, Korea
| | - Seonmin Lee
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-Gu, Seoul 05505, Korea
| | - Kyu-Pyo Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-Gu, Seoul 05505, Korea
| | - Seong Soo Kang
- Department of Veterinary Surgery, College of Veterinary Medicine and Biomaterial R&BD Center, Chonnam National University, Gwangju 61186, Korea
| | - Kyung Mi Shim
- Department of Veterinary Surgery, College of Veterinary Medicine and Biomaterial R&BD Center, Chonnam National University, Gwangju 61186, Korea
| | - Se Eun Kim
- Department of Veterinary Surgery, College of Veterinary Medicine and Biomaterial R&BD Center, Chonnam National University, Gwangju 61186, Korea
| | - Seungmin Bang
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 120-752, Korea
| | - Deok-Ho Kim
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Jong-Oh Park
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
| | - Eunpyo Choi
- Korea Institute of Medical Microrobotics (KIMIRo), 43-26 Cheomdangwagi-ro, Buk-gu, Gwangju 61011, Korea
- School of Mechanical Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea
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Baker RR, Payne C, Yu Y, Mohseni M, Connell JJ, Lin F, Harrison IF, Southern P, Rudrapatna US, Stuckey DJ, Kalber TL, Siow B, Thorne L, Punwani S, Jones DK, Emberton M, Pankhurst QA, Lythgoe MF. Image-Guided Magnetic Thermoseed Navigation and Tumor Ablation Using a Magnetic Resonance Imaging System. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105333. [PMID: 35106965 PMCID: PMC9036015 DOI: 10.1002/advs.202105333] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/17/2021] [Indexed: 06/14/2023]
Abstract
Medical therapies achieve their control at expense to the patient in the form of a range of toxicities, which incur costs and diminish quality of life. Magnetic resonance navigation is an emergent technique that enables image-guided remote-control of magnetically labeled therapies and devices in the body, using a magnetic resonance imaging (MRI) system. Minimally INvasive IMage-guided Ablation (MINIMA), a novel, minimally invasive, MRI-guided ablation technique, which has the potential to avoid traditional toxicities, is presented. It comprises a thermoseed navigated to a target site using magnetic propulsion gradients generated by an MRI scanner, before inducing localized cell death using an MR-compatible thermoablative device. The authors demonstrate precise thermoseed imaging and navigation through brain tissue using an MRI system (0.3 mm), and they perform thermoablation in vitro and in vivo within subcutaneous tumors, with the focal ablation volume finely controlled by heating duration. MINIMA is a novel theranostic platform, combining imaging, navigation, and heating to deliver diagnosis and therapy in a single device.
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Affiliation(s)
- Rebecca R Baker
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Christopher Payne
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Yichao Yu
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Matin Mohseni
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - John J Connell
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Fangyu Lin
- Resonant Circuits Limited, 21 Albemarle Street, London, W1S 4BS, UK
| | - Ian F Harrison
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Paul Southern
- Resonant Circuits Limited, 21 Albemarle Street, London, W1S 4BS, UK
| | - Umesh S Rudrapatna
- Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Daniel J Stuckey
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Tammy L Kalber
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Bernard Siow
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
| | - Lewis Thorne
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - Shonit Punwani
- Centre for Medical Imaging, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7JN, UK
| | - Quentin A Pankhurst
- Resonant Circuits Limited, 21 Albemarle Street, London, W1S 4BS, UK
- UCL Healthcare Biomagnetics Laboratory, University College London, 21 Albemarle Street, London, W1S 4BS, UK
| | - Mark F Lythgoe
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, 72 Huntley Street, London, WC1E 6DD, UK
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Li N, Tous C, Dimov IP, Cadoret D, Fei P, Majedi Y, Lessard S, Nosrati Z, Saatchi K, Hafeli UO, Tang A, Kadoury S, Martel S, Soulez G. Quantification and 3D localization of magnetically navigated superparamagnetic particles using MRI in phantom and swine chemoembolization models. IEEE Trans Biomed Eng 2022; 69:2616-2627. [PMID: 35167442 DOI: 10.1109/tbme.2022.3151819] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
OBJECTIVE Superparamagnetic nanoparticles (SPIONs) can be combined with tumor chemoembolization agents to form magnetic drug-eluting beads (MDEBs), which are navigated magnetically in the MRI scanner through the vascular system. We aim to develop a method to accurately quantify and localize these particles and to validate the method in phantoms and swine models. METHODS MDEBs were made of Fe3O4 SPIONs. After injected known numbers of MDEBs, susceptibility artifacts in three-dimensional (3D) volumetric interpolated breath-hold examination (VIBE) sequences were acquired in glass and Polyvinyl alcohol (PVA) phantoms, and two living swine. Image processing of VIBE images provided the volume relationship between MDEBs and their artifact at different VIBE acquisitions and post-processing parameters. Simulated hepatic-artery embolization was performed in vivo with an MRI-conditional magnetic-injection system, using the volume relationship to locate and quantify MDEB distribution. RESULTS Individual MDEBs were spatially identified, and their artifacts quantified, showing no correlation with magnetic-field orientation or sequence bandwidth, but exhibiting a relationship with echo time and providing a linear volume relationship. Two MDEB aggregates were magnetically steered into desired liver regions while the other 19 had no steering, and 25 aggregates were injected into another swine without steering. The MDEBs were spatially identified and the volume relationship showed accuracy in assessing the number of the MDEBs, with small errors (8.8%). CONCLUSION AND SIGNIFICANCE MDEBs were able to be steered into desired body regions and then localized using 3D VIBE sequences. The resulting volume relationship was linear, robust, and allowed for quantitative analysis of the MDEB distribution.
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Tous C, Li N, Dimov IP, Kadoury S, Tang A, Häfeli UO, Nosrati Z, Saatchi K, Moran G, Couch MJ, Martel S, Lessard S, Soulez G. Navigation of Microrobots by MRI: Impact of Gravitational, Friction and Thrust Forces on Steering Success. Ann Biomed Eng 2021; 49:3724-3736. [PMID: 34622313 DOI: 10.1007/s10439-021-02865-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/07/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Magnetic resonance navigation (MRN) uses MRI gradients to steer magnetic drug-eluting beads (MDEBs) across vascular bifurcations. We aim to experimentally verify our theoretical forces balance model (gravitational, thrust, friction, buoyant and gradient steering forces) to improve the MRN targeted success rate. METHOD A single-bifurcation phantom (3 mm inner diameter) made of poly-vinyl alcohol was connected to a cardiac pump at 0.8 mL/s, 60 beats/minutes with a glycerol solution to reproduce the viscosity of blood. MDEB aggregates (25 ± 6 particles, 200 [Formula: see text]) were released into the main branch through a 5F catheter. The phantom was tilted horizontally from - 10° to +25° to evaluate the MRN performance. RESULTS The gravitational force was equivalent to 71.85 mT/m in a 3T MRI. The gradient duration and amplitude had a power relationship (amplitude=78.717 [Formula: see text]). It was possible, in 15° elevated vascular branches, to steer 87% of injected aggregates if two MRI gradients are simultaneously activated ([Formula: see text] = +26.5 mT/m, [Formula: see text]= +18 mT/m for 57% duty cycle), the flow velocity was minimized to 8 cm/s and a residual pulsatile flow to minimize the force of friction. CONCLUSION Our experimental model can determine the maximum elevation angle MRN can perform in a single-bifurcation phantom simulating in vivo conditions.
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Affiliation(s)
- Cyril Tous
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Ning Li
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Ivan P Dimov
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada
| | - Samuel Kadoury
- Polytechnique Montréal, 2500 Chemin de Polytechnique, 28, Montreal, QC, H3T 1J4, Canada
| | - An Tang
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada
| | - Urs O Häfeli
- University of British Columbia, 2405 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Zeynab Nosrati
- University of British Columbia, 2405 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Katayoun Saatchi
- University of British Columbia, 2405 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | | | | | - Sylvain Martel
- Polytechnique Montréal, 2500 Chemin de Polytechnique, 28, Montreal, QC, H3T 1J4, Canada
| | - Simon Lessard
- Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.,École de Technologie Supérieur, 1100 Rue Notre-Dame O, Montreal, QC, H3C 1K3, Canada
| | - Gilles Soulez
- Centre de recherche du Centre hospitalier de l, Université de Montréal (CRCHUM), 900 Rue Saint-Denis, Montreal, QC, H2X 0A9, Canada. .,Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC, H3T 1J4, Canada.
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Future Advances in Diagnosis and Drug Delivery in Interventional Radiology Using MR Imaging-Steered Theranostic Iron Oxide Nanoparticles. J Vasc Interv Radiol 2021; 32:1292-1295.e1. [PMID: 34462079 DOI: 10.1016/j.jvir.2021.05.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 05/11/2021] [Accepted: 05/26/2021] [Indexed: 11/24/2022] Open
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Erin O, Boyvat M, Lazovic J, Tiryaki ME, Sitti M. Wireless MRI-Powered Reversible Orientation-Locking Capsule Robot. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2100463. [PMID: 35478933 PMCID: PMC7612672 DOI: 10.1002/advs.202100463] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/15/2021] [Indexed: 06/01/2023]
Abstract
Magnetic resonance imaging (MRI) scanners do not provide only high-resolution medical imaging but also magnetic robot actuation and tracking. However, the rotational motion capabilities of MRI-powered wireless magnetic capsule-type robots have been limited due to the very high axial magnetic field inside the MRI scanner. Medical functionalities of such robots also remain a challenge due to the miniature robot designs. Therefore, a wireless capsule-type reversible orientation-locking robot (REVOLBOT) is proposed that has decoupled translational motion and planar orientation change capability by locking and unlocking the rotation of a spherical ferrous bead inside the robot on demand. Such an on-demand locking/unlocking mechanism is achieved by a phase-changing wax material in which the ferrous bead is embedded inside. Controlled and on-demand hyperthermia and drug delivery using wireless power transfer-based Joule heating induced by external alternating magnetic fields are the additional features of this robot. The experimental feasibility of the REVOLBOT prototype with steerable navigation, medical function, and MRI tracking capabilities with an 1.33 Hz scan rate is demonstrated inside a preclinical 7T small-animal MRI scanner. The proposed robot has the potential for future clinical use in teleoperated minimally invasive treatment procedures with hyperthermia and drug delivery capabilities while being wirelessly powered and monitored inside MRI scanners.
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Affiliation(s)
- Onder Erin
- Department of Physical IntelligenceMax Planck Institute for Intelligent SystemsStuttgart70569Germany
- Department of Mechanical EngineeringCarnegie Mellon UniversityPittsburghPA15213USA
| | - Mustafa Boyvat
- Department of Physical IntelligenceMax Planck Institute for Intelligent SystemsStuttgart70569Germany
| | - Jelena Lazovic
- Department of Physical IntelligenceMax Planck Institute for Intelligent SystemsStuttgart70569Germany
| | - Mehmet Efe Tiryaki
- Department of Physical IntelligenceMax Planck Institute for Intelligent SystemsStuttgart70569Germany
- Institute for Biomedical EngineeringETH ZurichZurich8092Switzerland
| | - Metin Sitti
- Department of Physical IntelligenceMax Planck Institute for Intelligent SystemsStuttgart70569Germany
- Institute for Biomedical EngineeringETH ZurichZurich8092Switzerland
- School of Medicine and College of EngineeringKoç UniversityIstanbul34450Turkey
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Góes AMDO, Chaves RHDF, Furlaneto IP, Rodrigues EDM, de Albuquerque FBA, Smit JHA, de Oliveira CP, Abib SDCV. Comparative angiotomographic study of swine vascular anatomy: contributions to research and training models in vascular and endovascular surgery. J Vasc Bras 2021; 20:e20200086. [PMID: 34093675 PMCID: PMC8147709 DOI: 10.1590/1677-5449.200086] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background Medium and large animal models allow researchers to evaluate the efficacy and safety of cardiovascular procedures in systems that resemble human anatomy and can be used to simulate scenarios for training purposes. Although porcine models have been used extensively, many physiological and anatomical features remain unknown or only superficially described. Objectives To describe the normal porcine vascular anatomy on computed tomography scans, compare it to human vascular anatomy, and discuss the application of porcine models for open and endovascular procedures. Methods Three male Landrace pigs underwent computed tomography. The vascular anatomy of the neck, thorax, abdomen, and limbs was analyzed and described; relevant similarities and differences between porcine and human vascular anatomies and the implications for vascular procedures in pigs are highlighted. Results The carotid territory, aortic arch, and terminal aorta branches all show marked differences in pigs compared to their human counterparts. Compressions of both left renal and common iliac veins were detected, analogous to those seen in human Nutcracker and May-Thurner syndromes. Vascular measurements (diameters, lengths, and angles) of several different porcine territories are presented. Conclusions The data presented should be useful for planning preclinical trials and basic research and for refining surgical training using porcine models in vascular fields.
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Affiliation(s)
- Adenauer Marinho de Oliveira Góes
- Centro Universitário do Estado do Pará - CESUPA, Curso de Medicina, Belém, PA, Brasil.,Universidade Federal de São Paulo - UNIFESP, Programa de Ciência Cirúrgica Interdisciplinar, São Paulo, SP, Brasil
| | | | | | | | | | | | | | - Simone de Campos Vieira Abib
- Universidade Federal de São Paulo - UNIFESP, Programa de Ciência Cirúrgica Interdisciplinar, São Paulo, SP, Brasil
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Plachy T, Rohrer P, Holcapkova P. Gelatine-Coated Carbonyl Iron Particles and Their Utilization in Magnetorheological Suspensions. MATERIALS (BASEL, SWITZERLAND) 2021; 14:2503. [PMID: 34066006 PMCID: PMC8151537 DOI: 10.3390/ma14102503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/07/2021] [Accepted: 05/07/2021] [Indexed: 11/16/2022]
Abstract
This study demonstrates the formation of biocompatible magnetic particles into organized structures upon the application of an external magnetic field. The capability to create the structures was examined in silicone-oil suspensions and in a gelatine solution, which is commonly used as a blood plasma expander. Firstly, the carbonyl iron particles were successfully coated with gelatine, mixed with a liquid medium in order to form a magnetorheological suspension, and subsequently the possibility of controlling their rheological parameters via a magnetic field was observed using a rotational rheometer with an external magnetic cell. Scanning electron microscopy, infrared spectroscopy, and thermogravimetric analysis confirmed the successful coating process. The prepared magnetorheological suspensions exhibited a transition from pseudoplastic to Bingham behavior, which confirms their capability to create chain-like structures upon application of a magnetic field, which thus prevents the liquid medium from flowing. The observed dynamic yield stresses were calculated using Robertson-Stiff model, which fit the flow curves of the prepared magnetorheological suspensions well.
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Affiliation(s)
- Tomas Plachy
- Centre of Polymer Systems, University Institute, Tomas Bata University in Zlín, třída Tomáše Bati 5678, 760 01 Zlín, Czech Republic; (P.R.); (P.H.)
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Hoshiar AK, Le TA, Valdastri P, Yoon J. Swarm of magnetic nanoparticles steering in multi-bifurcation vessels under fluid flow. JOURNAL OF MICRO-BIO ROBOTICS 2020. [DOI: 10.1007/s12213-020-00127-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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12
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Li N, Jiang Y, Plantefève R, Michaud F, Nosrati Z, Tremblay C, Saatchi K, Häfeli UO, Kadoury S, Moran G, Joly F, Martel S, Soulez G. Magnetic Resonance Navigation for Targeted Embolization in a Two-Level Bifurcation Phantom. Ann Biomed Eng 2019; 47:2402-2415. [PMID: 31290038 DOI: 10.1007/s10439-019-02317-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/28/2019] [Indexed: 12/22/2022]
Abstract
This work combines a particle injection system with our proposed magnetic resonance navigation (MRN) sequence with the intention of validating MRN in a two-bifurcation phantom for endovascular treatment of hepatocellular carcinoma (HCC). A theoretical physical model used to calculate the most appropriate size of the magnetic drug-eluting bead (MDEB, 200 μm) aggregates was proposed. The aggregates were injected into the phantom by a dedicated particle injector while a trigger signal was automatically sent to the MRI to start MRN which consists of interleaved tracking and steering sequences. When the main branch of the phantom was parallel to B0, the aggregate distribution ratio in the (left-left, left-right, right-left and right-right divisions was obtained with results of 8, 68, 24 and 0% respectively at baseline (no MRN) and increased to 84%, 100, 84 and 92% (p < 0.001, p = 0.004, p < 0.001, p < 0.001) after implementing our MRN protocol. When the main branch was perpendicular to B0, the right-left branch, having the smallest baseline distribution rate of 0%, reached 80% (p < 0.001) after applying MRN. Moreover, the success rate of MRN was always more than 92% at the 1st bifurcation in the experiments above.
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Affiliation(s)
- Ning Li
- Polytechnique Montréal, Chemin de Polytechnique, 2500 Chemin de Polytechnique, Montréal, QC, 28 H3T 1J4, Canada.,Laboratory of Clinical Image Processing, Le Centre de recherche du CHUM (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | - Yuting Jiang
- Laboratory of Clinical Image Processing, Le Centre de recherche du CHUM (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada.,Department of Radiology, Radiation-Oncology and Nuclear Medicine and Institute of Biomedical Engineering, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada
| | - Rosalie Plantefève
- Laboratory of Clinical Image Processing, Le Centre de recherche du CHUM (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | - Francois Michaud
- Laboratory of Clinical Image Processing, Le Centre de recherche du CHUM (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada.,Department of Radiology, Radiation-Oncology and Nuclear Medicine and Institute of Biomedical Engineering, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada
| | - Zeynab Nosrati
- University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Charles Tremblay
- Polytechnique Montréal, Chemin de Polytechnique, 2500 Chemin de Polytechnique, Montréal, QC, 28 H3T 1J4, Canada
| | - Katayoun Saatchi
- University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Urs O Häfeli
- University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Samuel Kadoury
- Polytechnique Montréal, Chemin de Polytechnique, 2500 Chemin de Polytechnique, Montréal, QC, 28 H3T 1J4, Canada.,Laboratory of Clinical Image Processing, Le Centre de recherche du CHUM (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | | | - Florian Joly
- INRIA Paris, 2 rue Simone Iff, 75012, Paris, France
| | - Sylvain Martel
- Polytechnique Montréal, Chemin de Polytechnique, 2500 Chemin de Polytechnique, Montréal, QC, 28 H3T 1J4, Canada
| | - Gilles Soulez
- Laboratory of Clinical Image Processing, Le Centre de recherche du CHUM (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada. .,Department of Radiology, Radiation-Oncology and Nuclear Medicine and Institute of Biomedical Engineering, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada.
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Li N, Michaud F, Nosrati Z, Loghin D, Tremblay C, Plantefeve R, Saatchi K, Hafeli UO, Martel S, Soulez G. MRI-Compatible Injection System for Magnetic Microparticle Embolization. IEEE Trans Biomed Eng 2018; 66:2331-2340. [PMID: 30575528 DOI: 10.1109/tbme.2018.2889000] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Dipole field navigation and magnetic resonance navigation exploit B0 magnetic fields and imaging gradients for targeted intra-arterial therapies by using magnetic drug-eluting beads (MDEBs). The strong magnetic strength (1.5 or 3 T) of clinical magnetic resonance imaging (MRI) scanners is the main challenge preventing the formation and controlled injection of specific-sized particle aggregates. Here, an MRI-compatible injector is proposed to solve the above problem. METHODS The injector consists of two peristaltic pumps, an optical counter, and a magnetic trap. The magnetic property of microparticles, the magnetic compatibility of different parts within the injector, and the field distribution of the MRI system were studied to determine the optimal design and setup of the injector. The performance was investigated through 30.4-emu/g biocompatible magnetic microparticles (230 ± 35 μm in diameter) corresponding to the specifications needed for trans-arterial chemoembolization in human adults. RESULTS The system can form aggregates containing 20 to 60 microparticles with a precision of six particles. The corresponding aggregate lengths range from 1.6 to 3.2 mm. Based on the injections of 50 MRI-visible boluses into a phantom which mimics realistic physiological conditions, 82% of the aggregates successfully reached subbranches. CONCLUSION AND SIGNIFICANCE This system has the capability to operate within the strong magnetic field of a clinical 3-T MRI, to form proper particle aggregates and to automatically inject these aggregates into the MRI bore. Moreover, the versatility of the proposed injector renders it suitable for selective injections of MDEBs during MR-guided embolization procedures.
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