Study on Search Strategies for Assessing the Worst Case RF-Induced Heating for Multi-Configuration Implant System Under MRI
Study on Search Strategies for Assessing the Worst Case RF-Induced Heating for Multi-Configuration Implant System Under MRI
复制标题
MRI 下多配置植入系统最坏情况射频感应加热搜索策略研究
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Ji Chen
中科院分区：
文献类型：
--
作者：
Jianfeng Zheng;Xiaohe Ji;W. Kainz;Ji Chen
本文研究了在磁共振成像下搜索多组态可植入系统的最坏情况配置的策略，在所有可能的配置中，该配置可导致最高的射频能量暴露。这些策略通常基于参数搜索，以避免对大量可能的配置进行残酷的研究。对四种不同的搜索策略，即单次顺序搜索、次最坏情况验证的顺序搜索、基于热点的顺序搜索和多次迭代顺序搜索进行了比较研究。研究发现，参数搜索的初始配置和搜索顺序对搜索到的最坏情况配置有显著影响。对于本研究中考虑的多配置系统，简单的顺序搜索策略导致搜索失败的概率很高，这意味着很容易错过最坏情况的配置。采用次最坏情况验证的单次顺序搜索和多次迭代顺序搜索可以显著降低搜索失败的概率。
This paper presents a study on strategies of searching for the worst case configuration of a multi-configuration implantable system under magnetic resonance imaging, which induces the highest radio frequency energy exposure among all possible configurations. The strategies are usually based on parameter search to avoid brutal study of a huge number of possible configurations. Comparison studies of four different searching strategies, i.e., single sequential search, sequential search with the second worst case validations, hotspots-based sequential search, and multi-iteration sequential search, are evaluated. It is found that the initial configuration and sequence of parameter search can significantly affect the searched worst case configuration. For the multi-configuration system considered in this investigation, the simple sequential search strategy leads to a high probability of search failure, which means that the worst case configuration may be easily missed. Single sequential search with the second worst case validations and multi-iteration sequential search can significantly reduce the probability of search failure.