Literature DB >> 30509658

A study of cryosurgery of lung cancer using Modified Legendre wavelet Galerkin method.

Mukesh Kumar1, Subrahamanyam Upadhyay2, K N Rai3.   

Abstract

In this paper, we have developed a new mathematical model describing bio-heat transfer during cryosurgery of lung cancer. The lung tissue cooled by a flat probe whose temperature decreases linearly with time. The freezing process occurs in three stages and the whole region is divided into solid, mushy and liquid region. The heat released in the mushy region is considered as discontinuous heat generation. The model is an initial-boundary value problem of the hyperbolic partial differential equation in stage 1 and moving boundary value problem of parabolic partial differential equations in stage 2 and 3. The method of the solution consists of four-step procedure as transformation of problem in dimensionless form, the problem of hyperbolic partial differential equation converted into ordinary matrix differential equation and the moving boundary problem of parabolic partial differential equations converted into moving boundary problem of ordinary matrix differential equations by using finite differences in space, transferring the problem into the generalized system of Sylvester equations by using Legendre wavelet Galerkin method and the solution of the generalized system of Sylvester equation are solved by using Bartels-Stewart algorithm of generalized inverse. The whole analysis is presented in dimensionless form. The effect of cryoprobe rate on temperature distribution and the effect of Stefan number on moving layer thickness is discussed in detail.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cryosurgery; DPL Model; Generalized inverse; Modified Legendre wavelet Galerkin Method

Mesh:

Year:  2018        PMID: 30509658     DOI: 10.1016/j.jtherbio.2018.10.012

Source DB:  PubMed          Journal:  J Therm Biol        ISSN: 0306-4565            Impact factor:   2.902


  1 in total

1.  GPU-based 3D iceball modeling for fast cryoablation simulation and planning.

Authors:  Ehsan Golkar; Pramod P Rao; Leo Joskowicz; Afshin Gangi; Caroline Essert
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-08-12       Impact factor: 2.924

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.