Luan Shunyao, Ji Yongshuo, Liu Yumei, Zhu Linling, Zhou Haoyu, Ouyang Jun, Yang Xiaofei, Zhao Hong, Zhu Benpeng
School of Integrated Circuits, Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
HIFU Center of Oncology Department, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
BME Front. 2024 Mar 21;5:0037. doi: 10.34133/bmef.0037. eCollection 2024.
: High-intensity focused ultrasound (HIFU) therapy is a promising noninvasive method that induces coagulative necrosis in diseased tissues through thermal and cavitation effects, while avoiding surrounding damage to surrounding normal tissues. : Accurate and real-time acquisition of the focal region temperature field during HIFU treatment marked enhances therapeutic efficacy, holding paramount scientific and practical value in clinical cancer therapy. : In this paper, we initially designed and assembled an integrated HIFU system incorporating diagnostic, therapeutic, and temperature measurement functionalities to collect ultrasound echo signals and temperature variations during HIFU therapy. Furthermore, we introduced a novel multimodal teacher-student model approach, which utilizes the shared self-expressive coefficients and the deep canonical correlation analysis layer to aggregate each modality data, then through knowledge distillation strategies, transfers the knowledge from the teacher model to the student model. : By investigating the relationship between the phantoms, in vitro, and in vivo ultrasound echo signals and temperatures, we successfully achieved real-time reconstruction of the HIFU focal 2D temperature field region with a maximum temperature error of less than 2.5 °C. : Our method effectively monitored the distribution of the HIFU temperature field in real time, providing scientifically precise predictive schemes for HIFU therapy, laying a theoretical foundation for subsequent personalized treatment dose planning, and providing efficient guidance for noninvasive, nonionizing cancer treatment.
高强度聚焦超声（HIFU）治疗是一种很有前景的非侵入性方法，它通过热效应和空化效应在病变组织中诱导凝固性坏死，同时避免对周围正常组织造成损伤。在HIFU治疗过程中准确实时获取焦域温度场显著提高了治疗效果，在临床癌症治疗中具有至关重要的科学和实用价值。在本文中，我们首先设计并组装了一个集成的HIFU系统，该系统具有诊断、治疗和温度测量功能，用于在HIFU治疗期间收集超声回波信号和温度变化。此外，我们引入了一种新颖的多模态师生模型方法，该方法利用共享的自表达系数和深度典型相关分析层来聚合各模态数据，然后通过知识蒸馏策略将知识从教师模型转移到学生模型。通过研究体模、体外和体内超声回波信号与温度之间的关系，我们成功实现了HIFU焦域二维温度场区域的实时重建，最大温度误差小于2.5°C。我们的方法有效地实时监测了HIFU温度场的分布，为HIFU治疗提供了科学精确的预测方案，为后续个性化治疗剂量规划奠定了理论基础，并为非侵入性、非电离癌症治疗提供了有效指导。
