Hazrat Bilal;M. S. Aslam;Aaiza Gul;Aakash Kumar;Inam Ullah;Athanasios V. Vasilakos
{"title":"Optimized Tri-Coil Magnetic Guidance of Nanorobots for Targeted Plaque Therapy in the Middle Cerebral Artery","authors":"Hazrat Bilal;M. S. Aslam;Aaiza Gul;Aakash Kumar;Inam Ullah;Athanasios V. Vasilakos","doi":"10.1109/TNB.2025.3629132","DOIUrl":null,"url":null,"abstract":"Intravascular nanorobotic interventions in the neurovasculature are a promising yet challenging frontier in medical technology. This study addresses the challenge of precise control over nanorobots within the Middle Cerebral Artery (MCA), particularly under conditions of significant stenosis (80.1%) that complicate flow and navigation. Despite advances in magnetically actuated nanorobots for targeted therapies, achieving fine-grained control in complex vascular environments remains a critical issue. To address this, we propose a novel tri-coil electromagnetic system that uses three independent coils to generate dynamically modulated magnetic fields, enabling precise control of nanorobot motion. Coils 1 and 3 create evolving magnetic fields, while Coil 2 maintains a static field to shape the overall force application. A mathematical model was developed and implemented to optimize the system, demonstrating its ability to manipulate nanorobots within stenosed M2 MCA vessels. Our approach achieved high precision, allowing a lateral shift of the nanorobot trajectory with a magnetic field intensity of 40 mT. This tri-coil system offers a significant advancement in nanorobotic navigation and treatment of cerebrovascular diseases through minimally invasive techniques.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 1","pages":"127-139"},"PeriodicalIF":4.2000,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on NanoBioscience","FirstCategoryId":"99","ListUrlMain":"https://ieeexplore.ieee.org/document/11227024/","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Intravascular nanorobotic interventions in the neurovasculature are a promising yet challenging frontier in medical technology. This study addresses the challenge of precise control over nanorobots within the Middle Cerebral Artery (MCA), particularly under conditions of significant stenosis (80.1%) that complicate flow and navigation. Despite advances in magnetically actuated nanorobots for targeted therapies, achieving fine-grained control in complex vascular environments remains a critical issue. To address this, we propose a novel tri-coil electromagnetic system that uses three independent coils to generate dynamically modulated magnetic fields, enabling precise control of nanorobot motion. Coils 1 and 3 create evolving magnetic fields, while Coil 2 maintains a static field to shape the overall force application. A mathematical model was developed and implemented to optimize the system, demonstrating its ability to manipulate nanorobots within stenosed M2 MCA vessels. Our approach achieved high precision, allowing a lateral shift of the nanorobot trajectory with a magnetic field intensity of 40 mT. This tri-coil system offers a significant advancement in nanorobotic navigation and treatment of cerebrovascular diseases through minimally invasive techniques.
期刊介绍:
The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).