首页> 外文会议>Conference on Laser-Tissue Interaction XI: Photochemical, Photothermal, and Photomechanical 22-27 January 2000 San Jose, USA >Acoustic signal characteristics during IR laser ablation, and their consequences for acoustic tissue discrimination
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Acoustic signal characteristics during IR laser ablation, and their consequences for acoustic tissue discrimination

机译:红外激光烧蚀过程中的声信号特征及其对声组织识别的影响

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摘要

IR laser ablation of skin is accompanied by acoustic signals the characteristics of which are closely linked to the ablation dynamics. A discrimination between different tissue layers, for example necrotic and vital tissue during laser burn debridement, is therefore possible by an analysis of the acoustic signal. We were able to discriminate tissue layers by evaluating the acoustic energy. To get a better understanding of the tissue specificity of the ablation noise, we investigated the correlation between sample water content, ablation dynamics, and characteristics of the acoustic signal. A free running Er:YAG laser with a maximum pulse energy of 2 J and a spot diameter of 5 nm was used to ablate gelatin samples with different water content. The ablation noise in air was detected using a piezoelectric transducer with a bandwidth of 1 MHz, and the acoustic signal generated inside the ablated sample was measured simultaneously by a piezoelectric transducer in contact with the sample. Laser flash Schlieren photography was used to investigate the expansion velocity of the vapor plume and the velocity of the ejected material. We observed large differences between the ablation dynamics and material ejection velocity for gelatin samples with 70percent and 90percent water content. These differences cannot be explained by the small change of the gelatin absorption coefficient, but are largely related to differences of the mechanical properties of the sample. The different ablation dynamics are responsible for an increase of the acoustic energy by a factor of 10 for the sample with the higher water content.
机译:皮肤的红外激光消融伴随着声学信号,声学信号的特性与消融动力学密切相关。因此,可以通过分析声信号来区分不同组织层,例如在激光烧伤清创术期间的坏死组织和重要组织。我们能够通过评估声能来区分组织层。为了更好地了解消融噪声的组织特异性,我们研究了样品含水量,消融动力学和声学信号特征之间的相关性。使用最大脉冲能量为2 J,光斑直径为5 nm的自由运行Er:YAG激光烧蚀具有不同水分含量的明胶样品。使用带宽为1 MHz的压电换能器检测空气中的消融噪声,并通过与样品接触的压电换能器同时测量消融样品内部产生的声信号。激光闪光Schlieren摄影用于研究蒸气羽流的膨胀速度和喷射物料的速度。我们观察到含水量分别为70%和90%的明胶样品的消融动力学和材料喷射速度之间存在很大差异。这些差异不能用明胶吸收系数的微小变化来解释,而很大程度上与样品的机械性能差异有关。对于含水量较高的样品,不同的烧蚀动力学使声能增加了10倍。

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