磁共振小组/磁共振兼容/Investigation of artifacts and optimization in proton resonance frequency thermometry towards heating risk monitoring of implantable medical devices in magnetic resonance imaging：修订间差异
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{{文章推荐|Reason=基于PRF的植入物温升的实时监控策略|Journal= IEEE Transactions on Biomedical Engineering|PubYear=2021|DOI=10.1109/TBME.2021.3081599.|Category_=研究性工作|Domain=磁共振兼容|RecomBy=龙天罡|RecomGrp=磁共振小组|ReviewBy=姜老师|Abstract=Objective: Artifacts limit the application of proton resonance frequency (PRF) thermometry for on-site, individualized heating evaluations of implantable medical devices such as deep brain stimulation (DBS) for use in magnetic resonance imaging (MRI). Its properties are unclear and the research on how to choose an unaffected measurement region is insufficient. Methods: The properties of PRF signals around the metallic DBS electrode were investigated through simulations and phantom experiments considering electromagnetic interferences from material susceptibility and the radio frequency (RF) interactions. A threshold method on phase difference Δϕ was used to define a measurement area to estimate heating at the electrode surface. Its performance was compared to that of the Bayesian magnitude method and probe measurements. Results: The B0 magnetic field inhomogeneity due to the electrode susceptibility was the main influencing factor on PRF compared to the RF artifact. Δϕ around the electrode followed normal distribution but was distorted. Underestimation occurred at places with high temperature rises. The noise was increased and could be well estimated from magnitude images using a modified NEMA method. The Δϕ-threshold method based on this knowledge outperformed the Bayesian magnitude method by more than 42% in estimation error of the electrode heating. Conclusion: The findings favor the use of PRF with the proposed approach as a reliable method for electrode heating estimation. Significance: This study clarified the influence of device artifacts and could improve the performance of PRF thermometry for individualized heating assessments of patients with implants under MRI.|DetaialsDM=射频致热-射频致热评估-核磁测温}} | {{文章推荐|Reason=基于PRF的植入物温升的实时监控策略|Journal= IEEE Transactions on Biomedical Engineering|PubYear=2021|DOI=10.1109/TBME.2021.3081599.|Category_=研究性工作|Domain=磁共振兼容|RecomBy=龙天罡|RecomGrp=磁共振小组|ReviewBy=姜老师|Abstract=Objective: Artifacts limit the application of proton resonance frequency (PRF) thermometry for on-site, individualized heating evaluations of implantable medical devices such as deep brain stimulation (DBS) for use in magnetic resonance imaging (MRI). Its properties are unclear and the research on how to choose an unaffected measurement region is insufficient. Methods: The properties of PRF signals around the metallic DBS electrode were investigated through simulations and phantom experiments considering electromagnetic interferences from material susceptibility and the radio frequency (RF) interactions. A threshold method on phase difference Δϕ was used to define a measurement area to estimate heating at the electrode surface. Its performance was compared to that of the Bayesian magnitude method and probe measurements. Results: The B0 magnetic field inhomogeneity due to the electrode susceptibility was the main influencing factor on PRF compared to the RF artifact. Δϕ around the electrode followed normal distribution but was distorted. Underestimation occurred at places with high temperature rises. The noise was increased and could be well estimated from magnitude images using a modified NEMA method. The Δϕ-threshold method based on this knowledge outperformed the Bayesian magnitude method by more than 42% in estimation error of the electrode heating. Conclusion: The findings favor the use of PRF with the proposed approach as a reliable method for electrode heating estimation. Significance: This study clarified the influence of device artifacts and could improve the performance of PRF thermometry for individualized heating assessments of patients with implants under MRI.|DetaialsDM=射频致热-射频致热评估-核磁测温|Citation_=4}} | ||
2024年1月18日 (四) 22:32的版本
推荐理由
基于PRF的植入物温升的实时监控策略
| 文章简介 | |
|---|---|
| 期刊 | IEEE Transactions on Biomedical Engineering |
| 发表年份 | 2021 |
| DOI | 10.1109/TBME.2021.3081599. |
| 类型 | 研究性工作 |
| 领域 | 磁共振兼容 |
| 引用量 | 4 |
| 推荐信息 | |
|---|---|
| 推荐人 | 龙天罡 |
| 审核 | 姜老师 |
| 推荐小组 | 磁共振小组 |
摘要
Objective: Artifacts limit the application of proton resonance frequency (PRF) thermometry for on-site, individualized heating evaluations of implantable medical devices such as deep brain stimulation (DBS) for use in magnetic resonance imaging (MRI). Its properties are unclear and the research on how to choose an unaffected measurement region is insufficient. Methods: The properties of PRF signals around the metallic DBS electrode were investigated through simulations and phantom experiments considering electromagnetic interferences from material susceptibility and the radio frequency (RF) interactions. A threshold method on phase difference Δϕ was used to define a measurement area to estimate heating at the electrode surface. Its performance was compared to that of the Bayesian magnitude method and probe measurements. Results: The B0 magnetic field inhomogeneity due to the electrode susceptibility was the main influencing factor on PRF compared to the RF artifact. Δϕ around the electrode followed normal distribution but was distorted. Underestimation occurred at places with high temperature rises. The noise was increased and could be well estimated from magnitude images using a modified NEMA method. The Δϕ-threshold method based on this knowledge outperformed the Bayesian magnitude method by more than 42% in estimation error of the electrode heating. Conclusion: The findings favor the use of PRF with the proposed approach as a reliable method for electrode heating estimation. Significance: This study clarified the influence of device artifacts and could improve the performance of PRF thermometry for individualized heating assessments of patients with implants under MRI.
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