This thesis of Yiyang Li presents a comprehensive investigation into the localization of magnetic agents, a promising field of study due to its vast potential in medical and industrial applications. Magnetic agent localization offers non-invasive and accurate position tracking which is paramount in areas such as image-guided surgery and robotics.
The primary objective of this research is to develop, analyze, and optimize methodologies that can accurately localize magnetic agents in varying conditions, both static and dynamic, using wireless technologies.
In Chapter 1, state-of-the-art techniques for pinpointing magnetic agents in vivo are explored, with a pronounced emphasis on magnetic positioning. A mathematical model based on the magnetic dipole is employed for the magnetic positioning system. The application of nonlinear least squares methodology formulates an error objective function that streamlines localization data extraction.
Chapter 2 focuses on optimization algorithms and sensor configurations to enhance localization precision. Following successful static single magnet localization,
Chapter 3 progresses to dynamic localization, proposing a calibration and motion compensation algorithm.
Chapter 4 presents a real-time localization stage for multiple magnetic agents. The research culminates in an advanced understanding and improvement of magnetic agent localization techniques.
In summation, this thesis systematically explores the landscape of magnetic agent localization through three main facets: optimization algorithms and sensor configurations in Chapter 2, methodologies for localizing a moving magnetic agent in Chapter 3, and strategies for real-time localization of multiple magnetic agents in Chapter 4. Each chapter builds upon the foundations laid by its predecessors, culminating in a comprehensive advancement of magnetic agent localization techniques.
