对聚焦超声波进行快速优化,以实现复杂的准,使用阶段式阵列传感器和预先计算的传播操作员
Maximilian Valentin Hasslberger1, Mathew George Abraham2, Kasra Naftchi-Ardebili3
1Department of Radiology, Stanford University, The Lucas Imaging Center, Stanford, 94305-2004, UNITED STATES.
Physics in medicine and biology
|January 20, 2026
概括
这项研究引入了对聚焦超声波的实时优化,使多个大脑体积的精确,同时准成为可能. 这克服了传统方法的局限性,改善了诸如血脑屏障开放和神经调节等应用.
科学领域:
- 神经外科 神经外科
- 生物医学工程 生物医学工程
- 声学物理 声学物理
背景情况:
- 低强度聚焦超声波 (LIFU) 提供非侵入性神经调节和血脑屏障 (BBB) 打开.
- 阶段偏差校正 (PAC) 对骨异质性补偿至关重要,但传统方法存在局限性.
- 现有的PAC技术使用单点目标,产生延长的光束,需要很长的仿真时间,阻碍了多目标超声波.
研究的目的:
- 开发和验证一个实时的,基于优化的方法,用于使用LIFU进行体积大脑目标超声波.
- 为了使声压在目标体积内的多个点同时聚焦.
- 克服传统PAC方法的局限性,提高精度和效率.
主要方法:
- 使用直角对齐的线性相位阵列传感器来实时优化相位和振幅参数.
- 为体积大脑目标实施了基于优化的超声波策略.
- 采用射线跟踪校正方案来解决传感器位移灵敏度.
主要成果:
- 成功实现了实时优化,在几秒钟内进行体积大脑目标超声波.
- 证明了将声压集中在特定大脑区域内的多个目标点的能力.
- 展示了传感器位移的有效校正,保持峰值压力并限制非目标激活.
结论:
- 开发的方法提高了聚焦超声波应用的目标精度和效率.
- 这一进步扩大了LIFU在血脑屏障开放和神经调节方面的实用性.
- 实时,多目标的能力有望带来更广泛的临床和实验应用.
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