Rapid Prediction and Optimization Design Method of Laser‑Ablation Effect Based on Periodic Heating Mode

Yu Xiao; Zelong Zhang; Menghua Jian; Wei Dong

doi:10.3788/CJL240568

Chinese Journal of Lasers, Volume. 51, Issue 15, 1507206(2024)

Rapid Prediction and Optimization Design Method of Laser‑Ablation Effect Based on Periodic Heating Mode

Yu Xiao, Zelong Zhang, Menghua Jian, and Wei Dong^*

Author Affiliations

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai , 200240, China

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Figures & Tables(17)

Fig. 1. Flowchart of overall framework

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Fig. 2. Schematic diagram of laser ablation of tumor tissue

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Fig. 3. Flow chart of Monte-Carlo method

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Fig. 4. Mesh information on upper surface of tissue

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Fig. 5. Structure of RBF neural network

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Fig. 6. Flow chart of genetic algorithm

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Fig. 7. Experimental device for laser irradiation of pig liver tissue. (a) Overall view; (b) partial view

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Fig. 8. Simulation and experimental results of temperature at center point of surface of pig liver tissue

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Fig. 9. Simulation and experimental results of thermal damage volume of pig liver tissue

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Fig. 10. Comparison of real values with predicted values. (a) Irreversible thermal damage volume of normal tissue; (b) total irreversible thermal damage volume; (c) average temperature of tumor tissue surface

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Fig. 11. Comparison of isothermal surface of optimized model and training sample 2. (a) Optimization model; (b) training sample 2

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Fig. 12. Comparison of thermal damage range of optimized model and training sample 2. (a) Optimization model; (b) training sample 2

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Table 1. Optical characteristic parameters of biological tissues^[10,24-25]
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Table 1. Optical characteristic parameters of biological tissues^[10,24-25]
Biological tissue type Absorption coefficient μ_a /cm^-1 Scattering coefficient μ_s /cm^-1 Anisotropy factor g
Tumor tissue 0.16 16.94 0.82
Normal tissue 0.12 11.50 0.80

Table 2. Thermal characteristic parameters of biological tissues^[10,24-25]

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Table 2. Thermal characteristic parameters of biological tissues^[10,24-25]

Biological tissue

type

Density /

（kg·m^-3）

Specific heat capacity /

（J·kg^-1·K^-1）

Thermal conductivity /

（W·m^-1·K^-1）

Metabolic heat generation /

（W·m^-3）

Tumor tissue

1060

4200

0.55

9000.0

Normal tissue

1000

4200

0.50

368.1

Table 3. Value range of laser ablation irradiation design parameters
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Table 3. Value range of laser ablation irradiation design parameters
Design parameter p /W $r$ /mm t_h /s t_c /s $M$
Parameter value range ［1， 10］［1， 5］［10， 100］［10， 100］［1， 15］

Table 4. Training samples
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Table 4. Training samples
No. p /W $r$ /mm $t_{h}$ /s $t_{c}$ /s M
1 2.7102 2.4101 97.1190 85.1316 1.0000
2 9.1493 3.4299 58.8419 74.7614 12.0000
3 3.1681 3.7618 66.0684 98.1146 3.0000
$⋮$ $⋮$ $⋮$ $⋮$ $⋮$ $⋮$
600 4.2930 1.7144 54.2421 11.0785 7.0000

Table 5. Test samples
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Table 5. Test samples
No. p /W $r$ /mm $t_{h}$ /s $t_{c}$ /s $M$
1 6.7140 4.9180 15.8770 16.7590 13.0000
2 8.6330 3.0980 82.4140 87.8500 4.0000
3 1.9480 4.6424 55.8460 75.7540 2.0000
$⋮$ $⋮$ $⋮$ $⋮$ $⋮$ $⋮$
100 6.0160 4.3536 34.7500 85.3480 10.0000

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Yu Xiao, Zelong Zhang, Menghua Jian, Wei Dong. Rapid Prediction and Optimization Design Method of Laser‑Ablation Effect Based on Periodic Heating Mode[J]. Chinese Journal of Lasers, 2024, 51(15): 1507206

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