Article

# Cell accelerated cryoablation simulation.

Department of Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA.

Computer methods and programs in biomedicine (Impact Factor: 1.14). 10/2009; 98(3):241-52. DOI:10.1016/j.cmpb.2009.09.004 Source: DBLP

- Citations (34)
- Cited In (0)

- [show abstract] [hide abstract]

**ABSTRACT:**The aim of this paper is to present a simple and efficient numerical technique for solving transient multidimensional heat transfer problems with melting/solidification processes. The proposed technique comprises an enthalpy-based method for solving the problems by a finite difference scheme, lump system behavior being assumed for each node. The computation technique is able to consider all kinds of boundary conditions, i.e. conduction, convection and radiation alone or in combination. The numerical method neglects convection effects in the liquid phase. The importance of this method lies in the fact that solutions are obtained with a personal microcomputer, thus providing a convenient and reliable tool for wide use in solving many problems of practical interest. The proposed method was verified against the two exact solutions available from the literature for a one-dimensional semi-infinite domain, one with constant temperature boundary condition and the second with constant heat flux. The technique was demonstrated by solving four different cases of two-dimensional problems. A comparison of the results obtained with a microcomputer using the technique presented in this paper with numerical results from the literature obtained using conventional methods, i.e. finite differences and finite elements methods, which generally involve the use of large computers, shows good agreement.International Journal of Heat and Mass Transfer. 01/1993; - [show abstract] [hide abstract]

**ABSTRACT:**Recently, a new tumor ablation modality based on freezing immediately followed by a rapid and strong enough heating has been proved to be more effective and flexible than con- ventional cryosurgery. In this study, a numerical algorithm based on the effective heat capacity method is established to solve three-dimensional (3-D) phase-change problems of biological tissues subject to combined freezing and heating. The accuracy of the numerical code thus compiled is validated through comparisons of the calculation results with a 1-D exact solution for a semi-infinite region solidification problem. Using the present algorithm, comprehensive analysis is performed on the freezing=thawing behavior of biological tissues with tumors. For treatment of large tumors, where strong cooling=heating power is re- quired, a single probe will not be able to address a sufficiently large volume. For this case, freezing=heating problems using a three-probe system are solved for illustration purposes. The present algorithm is expected to be a valuable treatment-planning tool for combined cryosurgery and hyperthermia therapy.Numerical Heat Transfer Applications 01/2004; 46(6):587-611. · 1.80 Impact Factor - [show abstract] [hide abstract]

**ABSTRACT:**Knowledge of the temperature transients of biological bodies during cryosurgical re-warming is critical for the survival of healthy tissues. To better understand the mechanisms thus involved, a one-dimensional numerical algorithm based on finite difference method was applied to simultaneously solve the thawing processes occurring in three regions with one thawing, another blood-perfused and the third frozen one sandwiched between them. Two typical surface heatings with heating plate or convective warm water and a spatial heating using microwave were particularly adopted to investigate the advancement of the two phase-change interfaces and the transient temperature field over the tissue. Differences among these results were compared and their implementation for the cryosurgical re-warming were discussed. Parametric studies were performed to explore influences of the blood perfusion, the microwave heating power, the surface heat convection coefficient, and the surface heating temperature to the thermal history of the biological bodies. Taking account of several typical blood re-flow patterns most probably occurred in the originally frozen and then thawed tissues after the two phase change interfaces meet together, four heat transfer equations were proposed to characterize the re-warming behavior of the biological body. Effect of the non-ideal solution property of the living tissues to the transient temperature field during cryo-surgical re-warming was also tested through introducing a simple however intuitive way.Medical Engineering & Physics 06/2002; 24(4):265-77. · 1.78 Impact Factor

Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.