2,631
Views
31
CrossRef citations to date
0
Altmetric
Original Articles

Numerical analysis of thermal response of tissues subjected to high intensity focused ultrasound

&
Pages 419-434 | Received 14 May 2018, Accepted 25 Jul 2018, Published online: 11 Oct 2018

Figures & data

Figure 1. (a) Schematic of the HIFU-subjected tissue phantom geometry for simulations. (b) Schematics of ZX plane (axis-symmetric along z-axis) around y = 0: (b.i) two-layered medium, (b.ii) multi-layered medium and (b.iii) multi-layered with inhomogeneity. (c) Boundary conditions for pressure (c.i) and temperature (c.ii). (All dimensions are in cm).

Figure 1. (a) Schematic of the HIFU-subjected tissue phantom geometry for simulations. (b) Schematics of ZX plane (axis-symmetric along z-axis) around y = 0: (b.i) two-layered medium, (b.ii) multi-layered medium and (b.iii) multi-layered with inhomogeneity. (c) Boundary conditions for pressure (c.i) and temperature (c.ii). (All dimensions are in cm).

Table 1. Transducer Parameters.

Table 2. Acoustic and thermo-physical properties.

Figure 2. Pressure variation with respect to axial direction (along the direction of propagation of the ultrasound waves) for different grid sizes in space (a) for different dz (b) for different dx, to optimise the discretized step size in space.

Figure 2. Pressure variation with respect to axial direction (along the direction of propagation of the ultrasound waves) for different grid sizes in space (a) for different dz (b) for different dx, to optimise the discretized step size in space.

Figure 3. Comparison of the numerical solution of Westervelt equation as obtained in the present work with that of the analytical Rayleigh integral solution given by Hamilton [Citation28]; (a) time and (b) space variation of acoustic pressure in water medium.

Figure 3. Comparison of the numerical solution of Westervelt equation as obtained in the present work with that of the analytical Rayleigh integral solution given by Hamilton [Citation28]; (a) time and (b) space variation of acoustic pressure in water medium.

Figure 4. Nonlinear peak positive and peak negative pressure distribution compared with linear pressure distribution (a) with respect to time and (b) along the axial distance, (c) volumetric heat generation and (d) temperature distribution along the axial distance.

Figure 4. Nonlinear peak positive and peak negative pressure distribution compared with linear pressure distribution (a) with respect to time and (b) along the axial distance, (c) volumetric heat generation and (d) temperature distribution along the axial distance.

Figure 5. Intensity plot along the axial distance for different domains. The layer consists of skin (0.2 cm) + fat (1 cm) + muscle (1.5 cm). In all the cases, 2 cm of water is placed between transducer and the medium.

Figure 5. Intensity plot along the axial distance for different domains. The layer consists of skin (0.2 cm) + fat (1 cm) + muscle (1.5 cm). In all the cases, 2 cm of water is placed between transducer and the medium.

Table 3. Quantitative analysis of various medium intensity.

Figure 6. Intensity plots along the axial distance to show the effect of single layer (fat/muscle) sandwiched between (a) two layers of water and (b) water and liver tissue. For better clarity, the layer configurations have schematically been shown in both the figures.

Figure 6. Intensity plots along the axial distance to show the effect of single layer (fat/muscle) sandwiched between (a) two layers of water and (b) water and liver tissue. For better clarity, the layer configurations have schematically been shown in both the figures.

Figure 7. Temperature contour plots in the focal plane (z-x plane) for varying fundamental frequencies (0.8, 1 and 1.2 MHz) and of varying source pressures (0.2, 0.5 and 0.7 MPa).

Figure 7. Temperature contour plots in the focal plane (z-x plane) for varying fundamental frequencies (0.8, 1 and 1.2 MHz) and of varying source pressures (0.2, 0.5 and 0.7 MPa).

Figure 8. Temperature contour plots in the x-y plane for the focus point (z = 7 cm) for different fundamental frequencies (a) 0.8 MHz, (b) 1 MHz and (c) 1.2 MHz. For each case, the source pressure has been taken 0.5 MPa and heating duration is 0.2 s.

Figure 8. Temperature contour plots in the x-y plane for the focus point (z = 7 cm) for different fundamental frequencies (a) 0.8 MHz, (b) 1 MHz and (c) 1.2 MHz. For each case, the source pressure has been taken 0.5 MPa and heating duration is 0.2 s.

Figure 9. Temperature variation along the axial direction for different frequencies.

Figure 9. Temperature variation along the axial direction for different frequencies.

Figure 10. Generation of multiple lesions: (a) 1 lesion (b) 2 lesions (c) 3 lesions and (d) 5 lesions. First, second and the third column respectively represent the volumetric power, corresponding transient temperature and thermal dosage for each lesion. In the contours shown, Li (i = 1, 2, ., 5) represents the number of the lesion created.

Figure 10. Generation of multiple lesions: (a) 1 lesion (b) 2 lesions (c) 3 lesions and (d) 5 lesions. First, second and the third column respectively represent the volumetric power, corresponding transient temperature and thermal dosage for each lesion. In the contours shown, Li (i = 1, 2, ., 5) represents the number of the lesion created.

Figure 11. Temperature for m = 1, m×heating time and m×volumetric power for different lesions (a) with respect to time, (b) along the axial direction.

Figure 11. Temperature for m = 1, m×heating time and m×volumetric power for different lesions (a) with respect to time, (b) along the axial direction.

Figure 12. Delay time period in (a) modulation of volumetric power generation, and (b) modulation of heating time.

Figure 12. Delay time period in (a) modulation of volumetric power generation, and (b) modulation of heating time.

Figure 13. Effect of total number of lesions on the resultant temperature distributions realised in the x-z (left column) and x-y planes (right column).

Figure 13. Effect of total number of lesions on the resultant temperature distributions realised in the x-z (left column) and x-y planes (right column).

Figure 14. Temperature at the focus point for (a) lesion 2 and lesion 5 for total number of lesions 5, 10 and 20, enlarged version (b) for lesion 2 (L2) (c) for lesion 5 (L5) shows the preheating time.

Figure 14. Temperature at the focus point for (a) lesion 2 and lesion 5 for total number of lesions 5, 10 and 20, enlarged version (b) for lesion 2 (L2) (c) for lesion 5 (L5) shows the preheating time.