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Journal of Shanghai Jiaotong University(Science) >

2026 , Vol. 31 >Issue 3: 604 - 610

DOI: https://doi.org/10.1007/s12204-026-2932-y

Celebrating 30 Years

Computational Modeling and Experimental Validation of MRI-Induced RF Heating for a Transcranial Puncture Needle at 3 T

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  • 1. Department of Chemistry, Fudan University, Shanghai 200433, China; 2. Shanghai Institute of Medical Device Testing, Shanghai 201318, China; 3. School of Automation and Intelligent Sensing; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China; 4. SceneRay Co., Ltd., Suzhou 215128, Jiangsu, China

Received date: 2026-01-12

  Revised date: 2026-04-12

  Accepted date: 2026-05-08

  Online published: 2026-06-11

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Abstract

This study presents a computational and experimental framework for assessing magnetic resonance imaging (MRI)-induced radiofrequency (RF) heating risks for a transcranial puncture needle at 3T MRI. Due to the one-dimensional structure of the puncture needle, as well as its clinical interventional use, the transfer function method was used to evaluate the needle’s electromagnetic model. Multi-variable computational simulations encompassing over 100 000 tests were performed using five anatomical virtual human models, including various coil configurations and clinical implantation trajectories. The in vivo RF heating was predicted by convolving the simulated tangential electric field along each path with the measured transfer function, scaled by an experimentally validated factor. The maximum temperature rise of the puncture needle in the human body does not exceed 6 °C after a 15-min scan under a given power limit exposure under MRI. This integrated approach provides a robust safety assessment for transcranial MRI-guided intervention.

Cite this article

Gao Zhong, Guo Ran, Li Chengling, Gao Anzhu, Zhu Weiran, Kong Jilie . Computational Modeling and Experimental Validation of MRI-Induced RF Heating for a Transcranial Puncture Needle at 3 T[J]. Journal of Shanghai Jiaotong University(Science), 2026 , 31(3) : 604 -610 . DOI: 10.1007/s12204-026-2932-y

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