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Two-phase flow model based bubble packing algorithm for optimization of multiprobe cryosurgery
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DOI：10.1016/j.icheatmasstransfer.2021.105515.png)
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摘要
En 中文
Cryosurgery is a surgical process of exploiting extreme cold heat circulating through one or more probes to demolish abundant benign and malignant lesions in biological tissues. However, the proper cryosurgical factors including probe number and multiple probe locations assigned to a specific target area are critical to freeze the tumor vicinity with maximum cryoinjury while diminishing the destruction of healthy tissue. In this study, we inaugurate a novel three-dimensional modeling analysis incorporated with optimal cryosurgical factors to improve the freezing efficacy of the multiprobe cryoablative process. A planning system based bubble-packing algorithm was exploited to acquire optimum cryoprobe layouts from multiple triangular cryoprobe arrays with the placement variants of 7, 14, and 20 mm in equidistance from each probe. Two-phase flow with coupled thermal transport model was used to explore thermal evolution in living tissues and optimize the ablation outputs during multiprobe cryosurgery. The results show that when the probes are in faraway (20 mm), the algorithm yields the minimum value of the objective function during multiprobe optimization of cryosurgery. Invitro multiprobe experiments of bio-gel phantom and porcine live tissue were also implemented and acquired approximately 7 cm in diameter of iceball after t = 1400 s in both cases.
Keyword:
Two-phase flow
Cryoprobe array
Optimization
Cryosurgery
Finite volume method
期刊
IF:
6.4
论文数:
1.0W
被引数:
2.5W
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