A pilot study on an electromagnetic tracking system using tunneling magnetoresistance (TMR) sensors applicable to a 4F catheter (1.4 mm in diameter)

Int. J. Comput. Assist. Radiol. Surg.(2022)

引用 1|浏览13
暂无评分
摘要
Purpose Tracking the position and orientation of a 4F catheter ( ϕ 1.4 mm) is required in superselective intra-arterial chemotherapy (SSIAC). Tunneling magnetoresistance (TMR) sensors, which measure magnetic fields, are promising candidates because the size of the TMR sensor can be less than a few tenths of a millimeter. The purpose of this paper is to prove the feasibility of an EMT system utilizing TMR sensors as magnetometers. Methods Three 1-axis TMR sensors (0.3 mm × 0.3 mm) were packaged on a flexible printed circuit board (PCB) together with an amplifier chip. The PCB was integrated into a 4F catheter. Six field generator coils driven by alternating current (AC) at different frequencies were used. Magnetic field measurement errors were evaluated to assess the effect of electromotive force (EMF) on TMR-based sensing by changing the coils’ driving frequencies. The tracking error was also evaluated. As a result, the feasibility of catheter navigation utilizing the EMT system was demonstrated. Results There was a positive correlation between the frequency and the magnetic field measurement error using the TMR sensor ( R 2 = 0.999). With magnetic field frequencies less than 603 Hz, the average position and orientation estimation error were 10.1 mm and 2.3 degree, respectively. Under ideal conditions, the average estimation error values were 0.9 mm and 0.3 degree, respectively. Conclusion The position and orientation errors varied with frequency owing to the induced electromotive force. We should consider the effect of electromotive force on TMR sensor assemblies caused by alternating magnetic fields. An EMT system using TMR sensors was validated, although room for further improvement was identified.
更多
查看译文
关键词
Tunneling magnetoresistance effect,Magnetic sensor,Catheter navigation,Oral cancer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要