A coupled finite-volume immersed boundary method for the simulation of bioheat transfer in 3D complex tumor

Singh, Amritpal; Kumar, Neeraj

doi:10.1007/s00366-023-01797-9

Cited by 4 publications

(1 citation statement)

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“…It thus offers computational efficiency and simplicity while handling the underlying physics in complex domains. The details related to FV- IB methodology can be referred to Singh at al [48] and De et al [29]. An in-house solver based on the FV-IB method is developed in MATLAB to solve Penne's bioheat model.…”

Section: Mathematical Modelmentioning

confidence: 99%

Estimation of the injection criteria for magnetic hyperthermia therapy based on tumor morphology

Singh,

Kumar

2024

Biomed. Phys. Eng. Express

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Intratumoral multi-injection strategy enhances the efficacy of magnetic nanoparticle hyperthermia therapy (MNPH). In this study, criteria for the selection of injections and their location depending on the tumor shape/geometry are developed. The developed strategy is based on the thermal dosimetry results of different invasive 3D tumor models during MNPH simulation. MNPH simulations are conducted on physical tumor tissue models encased within healthy tissue. The tumor shapes are geometrically divided into a central tumor region containing maximum tumor volume and a peripheral tumor portion protruding in any random direction. The concepts of core and invasive radius are used to geometrically divide the tumor volume. Primary & secondary injections are used to inject MNP fluid into these respective tumor regions based on the invasiveness of the tumor. The optimization strategy is devised based on the zone of influence of primary & secondary injection. Results indicate that the zone of influence of secondary injection lies between 0.7 and 0.8 times the radial distance between the center of the tumor core and branch node point (extreme far endpoint on the invasive tumor surface). Additionally, the multi-injection strategy is more effective when the protrusion volume exceeds 10% of the total volume. The proposed algorithm is used to devise multi-injection strategies for arbitrarily shaped tumors and will assist in pre-planning magnetic nanoparticle hyperthermia therapy.

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Section: Mathematical Modelmentioning

confidence: 99%