Antoniou Anastasia, Evripidou Nikolas, Chrysanthou Antreas, Georgiou Leonidas, Ioannides Cleanthis, Spanoudes Kyriakos, Damianou Christakis
Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.
Department of Interventional Radiology, German Oncology Center, Limassol, Cyprus.
J Med Phys. 2024 Apr-Jun;49(2):203-212. doi: 10.4103/jmp.jmp_7_24. Epub 2024 Jun 25.
The current study provides insights into the challenges of safely operating a magnetic resonance imaging (MRI)-guided focused ultrasound (MRgFUS) robotic system in a high-field MRI scanner in terms of robotic motion accuracy.
Grid sonications were carried out in phantoms and excised porcine tissue in a 3T MRI scanner using an existing MRgFUS robotic system. Fast low-angle shot-based magnetic resonance thermometry was employed for the intraprocedural monitoring of thermal distribution.
Strong shifting of the heated spots from the intended points was observed owing to electromagnetic interference (EMI)-induced malfunctions in system's operation. Increasing the slice thickness of the thermometry sequence to at least 8 mm was proven an efficient method for preserving the robotic motion accuracy.
These findings raise awareness about EMI effects on the motion accuracy of MRgFUS robotic devices and how they can be mitigated by employing suitable thermometry parameters.
本研究从机器人运动精度方面深入探讨了在高场磁共振成像(MRI)扫描仪中安全操作磁共振成像引导聚焦超声(MRgFUS)机器人系统所面临的挑战。
使用现有的MRgFUS机器人系统,在3T MRI扫描仪中的体模和切除的猪组织中进行网格超声消融。采用基于快速低角度激发的磁共振测温法对热分布进行术中监测。
由于电磁干扰(EMI)导致系统运行故障,观察到加热点相对于预期点有明显偏移。事实证明,将测温序列的切片厚度增加到至少8mm是保持机器人运动精度的有效方法。
这些发现提高了人们对EMI对MRgFUS机器人设备运动精度的影响以及如何通过采用合适的测温参数来减轻这种影响的认识。