Arash Azizi
Papers
3
Total Citations
109
H-Index
3
About
Arash Azizi is a pioneering roboticist and biomedical engineer whose work centers on magnetic actuation and image-guided navigation for minimally invasive vascular interventions. His primary research areas include medical robotics, interventional MRI, and trajectory planning for endovascular procedures. Azizi’s most significant contribution is the development of **Fringe Field Navigation (FFN)** , a novel method that harnesses the powerful, untapped fringe field of a clinical MRI scanner to magnetically steer tethered instruments, such as guidewires, into deep and tortuous vascular regions. His landmark 2019 paper on this technique, which has garnered 98 citations, demonstrated that this approach can overcome the limited reach of conventional tools, enabling navigation into previously inaccessible vessels. To support FFN, Azizi also introduced a trajectory planning method using 3D angiography images and vessel centerline data, and advanced the modeling of magnetic forces with Thin Plate Spline techniques. By repurposing existing clinical infrastructure for robotic control, Azizi’s work offers a scalable, radiation-free alternative to traditional fluoroscopic guidance, promising to enhance the safety and efficacy of complex catheterizations.
Research Focus
Key Achievements
Top Papers
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