脑起搏器系统和磁共振成像技术对神经和精神类疾病的治疗与诊断具有重大意义，然而两者在临床和科研领域存在着尖锐矛盾，主要表现为脑起搏器中的细长金属电极会吸收磁共振射频磁场能量，导致植入者脑内组织温度升高，带来脑组织损伤风险。因此，针对射频致热问题制定科学合理的安全扫描条件，是植入者接受磁共振扫描的基础。 限制射频致热能量指标是制定安全条件的主要手段。然而，由于磁共振系统品牌型号多样、线圈设计各异、发射参数不一、扫描序列繁多以及应用形式复杂等临床因素，射频致热能量指标内涵并不一致，统一设定指标限制困难重重。鉴于此，本文针对射频致热能量指标的临床复杂性，在研究方法、内在关系及临床应用等方面展开工作： 搭建并验证射频致热能量指标研究的数字孪生平台。提出基于空间电场采样的数字孪生方法，构建了独立射频线圈系统数字孪生模型，该模型与实测射频电场分布差异性指标低至4.46%，并通过标准导线测温实验验证，论证数字孪生方法研究射频致热能量指标的可靠性。 利用数字孪生研究磁共振系统射频致热能量指标关系。根据扫描序列参数，明确了射频致热能量指标比吸收率与磁场强度有效值平方的线性关系，发现磁共振系统及其数字孪生体均满足此关系，论证安全扫描条件在临床应用中的可行性。 设计射频致热能量指标安全系数并提出临床应用策略。基于主流磁共振系统扫描序列射频致热能量指标信息，设计了特征安全系数，并对比了体线圈与头线圈的射频致热能量指标特点及电场分布，进而提出了射频安全扫描条件临床应用策略。 综上，本文以射频致热能量指标为核心，提出了基于空间电场采样的数字孪生方法，研究了射频致热能量指标关系，并设计了特征安全系数，形成了临床应用策略，对射频致热能量指标的一致性研究及安全扫描条件的设计具有借鉴作用和现实意义。

Deep brain stimulation (DBS) systems and magnetic resonance imaging (MRI) technology have significant implications for the treatment and diagnosis of neurological and psychiatric diseases. However, there exists a sharp contradiction between the two in clinical and research fields. The elongated metal electrodes in DBS absorb radiofrequency (RF) magnetic field energy during MRI, leading to an increase in brain tissue temperature and posing thermal safety risks to the implant recipients. Therefore, developing scientifically sound safety scanning conditions to address RF heating is essential for patients with implants to safety undergo MRI scans. Restricting the RF heating energy criteria is the main approach to establishing safe scanning conditions. However, due to various clinical factors such as the diversity of MRI brands, differences in coil designs, variations in transmission parameters, numerous scanning sequences, and the complexity of application forms, the content of the RF heating energy criteria is inconsistent, making it difficult to set a unified criteria limit. In light of this, the research addressed the clinical complexity of the RF heating energy criteria by exploring the research methods, intrinsic relationships, and clinical applications: Build and validate digital twin platform for RF heating energy criteria research. A digital twin method based on spatial electric field sampling is proposed, constructing an independent RF coil system digital twin model. The difference criteria between the measured RF electric field distribution and the model is 4.46%. This method was validated through standard wire temperature measurement experiments, proving that the digital twin method can ensure consistency between the RF heating energy criteria calculations of the physical coil and the numerical model. Studying the RF heating energy criteria relationship in MRI systems using the digital twin. Based on scanning sequence parameters, the linear relationship between the RF heating energy criteria’s specific absorption and the square of the effective magnetic field strength was clarified. Both MRI and digital twin were found to satisfy this relationship, demonstrating the feasibility of safe scanning conditions in clinical applications. Designing a safety coefficient for the RF heating energy criteria and proposing clinical application strategy. Based on RF heating energy criteria information from mainstream MRI scanning sequences, a characteristics and electric field distribution of the RF heating energy criteria of body coils and head coils were compared, leading to the proposal of clinical application strategy for RF safe scanning conditions. In summary, this research focuses on the RF heating energy criteria, proposing a digital twin method based on spatial electric field sampling, studying the relationships of the RF heating energy criteria, and designing a characteristic safety coefficient to form clinical application strategy. This provides valuable insights and practical significances for the consistent study of RF heating energy indices and the design of safe scanning conditions.