Prediction of Automated Evaporation of Soft Biotissues of Different Types by Continuous CO2 Laser Radiation

Alexander K. Dmitriev
NRC “Kurchatov Institute”, Moscow, Russian Federation

Alexey N. Konovalov orcid (Login required)
NRC “Kurchatov Institute”, Moscow, Russian Federation

Vladimir N. Kortunov
NRC “Kurchatov Institute”, Moscow, Russian Federation

Valery A. Ulyanov orcid
NRC “Kurchatov Institute”, Moscow, Russian Federation




DOI: 10.18287/JBPE25.11.030302

Abstract

The study of laser evaporation of biological tissues and the creation of computational models of this process is an important scientific task for the development of predictive modeling and preoperative planning approaches in robotic laser surgery. Laser evaporation of soft water-containing biotissues with significantly different structure and strength characteristics was studied in the process of two-coordinate laser scanning of continuous CO2 laser radiation. Samples of soft tissues from pigs in vitro (myocardium, liver, skeletal muscle, aorta) were used. It is shown that the dependence of the laser evaporation depth on the radiation power for these tissues is well approximated by a linear function. The proportionality coefficients between the maximum evaporation depth and the radiation power for all tissues, with the exception of the aorta, practically coincide with the calculated coefficient of 175 μm/W, obtained on the basis of the evaporation model of soft tissue evaporation for scanning parameters: scanning speed v = 15 mm/s, laser beam diameter 180 µm, distance between lines 150 µm. It is shown that despite the strong differences in soft tissue structure and strength characteristics (more than two orders of magnitude), the average deviation of the calculated value of the evaporation depth from the measured value for all tissues is several tens of percent and depends on the excess over the evaporation threshold. The developed approach can be used for predictive modeling in preoperative planning using scanning systems based on continuous CO2 lasers.

Keywords

CO2 laser; automated scanning; biotissue; structure; strength characteristics; depth of evaporation; predictive modeling

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References


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