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Validation of eyelids as acoustic receiver locations for photoacoustic-guided neurosurgery

机译:眼睑验证眼睑作为光声引导神经外科的声学接收器位置

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Accidental injury to underlying blood vessels and nerves during minimally invasive neurosurgery can have severe surgical complications (e.g., blindness, paralysis, and death). Transcranial photoacoustic imaging is a promising technique for real-time visualization of these structures, but it is challenged by acoustic-bone interactions which degrade image quality. We are developing patient-specific simulation methods that identify viable transcranial acoustic windows for intraoperative photoacoustic visualization of these underlying structures. Photoacoustic k-Wave simulations were performed based on a CT volume of an intact human cadaver head, which was later used to create experimental images of the internal carotid arteries. Acoustic receivers distributed across the eyelids measured pressure from intracranial photoacoustic sources. Differences in photoacoustic signal quality between the left and right eyelid receiver locations were investigated. Simulated sensors placed on the right eyelid received a 6.4 dB greater median acoustic energy than simulated sensors placed on the left eyelid, which was confirmed experimentally with a 14.5 dB greater DAS photoacoustic image amplitude with the ultrasound probe placed on the right eyelid rather than the left eyelid. Therefore, the ocular cavity is a viable acoustic window for photoacoustic-guided neurosurgeries with the potential to identify intrapatient, left-right asymmetries, supporting a new paradigm for performing patient-specific simulations prior to surgical guidance.
机译:在微创神经外科的微创神经外科患者期间对底层血管和神经的意外损伤可具有严重的手术并发症(例如,失明,瘫痪和死亡)。经颅光声成像是一种有望的技术,用于实时可视化这些结构,但它被声学 - 骨相互作用挑战,这降低了图像质量。我们正在开发特定于患者的仿真方法,该方法识别可行的经颅声窗,用于这些底层结构的术中光声可视化。基于完整的人尸体头的CT体积进行光声k波模拟,后来用于产生内部颈动脉的实验图像。分布在眼睑上的声学接收器从颅内光声源测量压力。研究了左眼和右眼睑接收器位置之间的光声信号质量的差异。施加在右眼睑上的模拟传感器,比放置在左眼睑上的模拟传感器更高的中值声能,这是用14.5dB更大的DAS光声图像幅度确认,用超声探头放在右眼皮上而不是左侧眼皮。因此,眼腔是用于光声引导的神经诊疗的可行声学窗口,其潜力识别窝内裤,左侧不对称,支持新的范例,用于在手术指导之前进行患者特异性模拟。

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