Session: MNS-03: Micro/Nano Robotics and Functional Materials

Paper Number: 142764

142764 - Analysis of Contact Points on Guidewires in Neurointerventional Surgery Using U-Net-Based Shape Reconstruction 

A study is currently underway to enhance a robotic system tailored for assisting surgeons during neuroendovascular interventions. This system relies on a guidewire to navigate through the vascular artery network. However, due to the guidewire's high flexibility, locating the contact points on it poses a challenge, which will lead to safety concerns and imprecise navigation outcomes for the robotic system. To address this issue, this research proposes a shape-based force estimation method to precisely locate the contact points on the guidewire. This method uses the guidewire's contour in the image as the shape information and the guidewire's mechanical property to establish the relationship between shape change and applied loads. To extract the guidewire's contour from the background, a convolutional neural network, specifically a U-Net model, was employed. Ninety-six images were used for the U-Net model training. The U-Net model achieved a Dice score of 82.8%, indicating its effectiveness in contour extraction. Based on the extracted contour, a thinning method was used to extract the mid-line of the guidewire, which can be used to calculate the curvature of the guidewire. By analyzing the curvature change, the localized maximum value of the curvature indicated the location of the applied load. An experimental validation of the proposed method was conducted. The relative error of the load location estimation was approximately 6.5%, demonstrating the accuracy of the proposed approach.

Presenting Author: Yong Shi Stevens Institute of Technology

Presenting Author Biography: Dr. Yong Shi is an associate professor in the Mechanical Engineering Department at Stevens Institute of Technology, Hoboken, New Jersey, USA. He is the director of the Active Nanostructures and Devices Laboratory at Stevens. Dr. Shi obtained his B. Eng in composites from National University of Defense Technology in China in 1985. He obtained his M.S and Ph.D. in Aeronautics and Astronautics from Massachusetts Institute of Technology, Cambridge, Massachusetts, USA in 2001 and 2004 respectively.

He was a senior satellite engineer and director of the composites department in Beijing Spacecraft at the Chinese Academy of Space Technology (CAST) before he went to MIT, where he had led many satellite structure projects and won numerous awards. At MIT, he finished his Master thesis on “Actuation efficiency of piezoelectrically driven linear and nonlinear systems” with Prof. Nesbitt Hagood in Aero/Astro, and then he completed his doctor dissertation on “Design, Fabrication and Characterization of MEMS switch” under the supervision of Prof. San-Gook Kim in Mechanical Engineering. He joined Stevens Institute of Technology right after he finished his Ph. D in 2004.

His current research interests include micro/nano sensors and actuators, functional nanostructures and nanocomposites, interface phenomena on mechanical, thermal and electric properties, MEMS/NEMS systems for energy conversion, biomedical devices and space applications. He has won the ASNT fellowship from the American Society of Nondestructive Testing and several fellowships from the National Science Foundation. He was awarded several NSF grants and grants from other funding agencies. Dr. Shi has made important contributions to his field and his work has been published in premiere journals and books and highlighted on various media and websites for popular sciences. He has given many invited talks, served on many grant review panels, and is a also frequent reviewer for scientific journals and publications.

Authors:

Yang Xu Stevens Institute of Technology
Mahad Rana Stevens Institute of Technology
Maggie Zhou Ridgewood Highschool
Sundeep Mangla Neurointerventional Medicine PLLC
Yong Shi Stevens Institute of Technology