Modeling of repeating freezing of biological tissues and analysis of possible microwave monitoring of local regions of thawing

Dombrovsky, Leonid A.; Nenarokomova, Natalia B.; Tsiganov, D. I.; Zeigarnik, Yuri Albertovich

doi:10.1016/j.ijheatmasstransfer.2015.05.117

Cited by 31 publications

(13 citation statements)

References 36 publications

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“…For example, various forms of intracellular ice produced by fast and slow freezing significantly affect the properties of this moisture-containing material. To increase the modeling accuracy, it is necessary to use the most accurate data on the thermal properties of biological tissues in a wide temperature range and on the features of phase transitions [13]. It is recommended to use experimentally obtained temperaturedependent thermal properties adapted to simulate a specific cryoexposure [14,15].…”

Section: Thermal Propertiesmentioning

confidence: 99%

Numerical thermal simulation of cryoexposure using Ansys

et al. 2020

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The current advances and problems of medical cryoexposure thermal simulation are considered. Recommendations on improving geometric models, thermophysical properties, boundary conditions, and for parameterizing of the computational domain are proposed. These recommendations can be applied to most modern FEA software packages (tested in Ansys CFX 19.2). Examples of cryoablation and cryotherapy simulation are presented.

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Section: Thermal Propertiesmentioning

confidence: 99%

Numerical thermal simulation of cryoexposure using Ansys

et al. 2020

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“…The internal heat source resulting from the phase change is proportional to the local and temporary melting/solidification rate, in particular [45,46] Qphfalse(r,z,tfalse)=L∂fSfalse(r,z,tfalse)∂t=−L∂fLfalse(r,z,tfalse)∂t, where L is a volumetric latent heat, f S is a volumetric solid-state fraction in the neighborhood of the point considered, f L = 1 − f S . The function f L is a temperature dependent and for the border temperatures limiting the mushy zone sub-domain takes the values f L ( T 1 ) = 0 and f L ( T 2 ) = 1 ( T 1 and T 2 correspond to the beginning and the end of the melting process).…”

Section: One-domain Approachmentioning

confidence: 99%

“…Very often the course of the function f S between the border temperatures is assumed in the linear form, e.g., [46] fLfalse(r,z,tfalse)=Tfalse(r,z,tfalse)−T1T2−T1. One can see that this function fulfils the conditions f L ( T 1 ) = 0 and f L ( T 2 ) = 1. The first derivative of this function is equal to 1/( T 2 − T 1 ), while the second derivative is equal to 0 and the source function (11) takes a form leftQph(r,z,t)+sans-serifτq∂Qph(r,z,t)∂t=−LdfL(T)dT[∂T(r,z,t)∂t+sans-serifτq∂2T(r,z,t)∂t2]=−LT2−T1[∂T(r,z,t)∂t+sans-serifτq…”

Section: One-domain Approachmentioning

confidence: 99%

Numerical Simulation of Thermal Processes in a Domain of Thin Metal Film Subjected to an Ultrashort Laser Pulse

Majchrzak

Mochnacki

2018

Materials

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A thin metal film subjected to an ultrashort laser pulse is considered. With a sufficiently high laser intensity the process of the film heating may cause metal melting and even ablation. In this work, the numerical model of the melting and resolidification processes is presented. The mathematical model is based on the dual phase lag equation in which two positive constants appear, this means the relaxation and thermalization times. The considered equation contains a second-order time derivative and higher order mixed derivative in both time and space and should be supplemented by the appropriate boundary and initial conditions. The model of the melting and resolidification is presented in two versions. The first can be called ‘the introduction of the artificial mushy zone sub-domain’, while the second ‘the two forms of the basic energy equation’. At the stage of numerical computations, the implicit scheme of the finite difference method is used. The numerical algorithm is tested for the two proposed models which are applied to the computations concerning the thermal processes occurring in the cylindrical micro-domain (chromium, gold) subjected to an ultrashort laser pulse.

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“…Multiple freezing-defrosting is used (at least a double cycle). The approach is found to be more effective than a single procedure [47][48][49]. And lower temperatures can be achieved in a cooled biotissue than when it is first frozen.…”

Section: Medicalmentioning

confidence: 99%

Prerequisites for Developing New Generation Cryosurgical Devices (Review)

Шакуров¹,

Пушкарев²,

Пушкарев³

et al. 2017

Sovrem Tehnol Med

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The study represents the implementation areas, key advantages and application problems of a cryotechnique in recent times, as well as the classification, the main characteristics and disadvantages of the existing cryosurgical units. The review considers the prerequisites for developing new generation cryosurgical units. Among them there were distinguished five main research lines. The first line is the development of a high-precision cryotherapy dosing technique. The second line is related to the formation of prediction and result control techniques of establishing a predetermined cryonecrosis area, since practice requires a detailed calculation of a procedure to choose the modes of cryosurgical devices, which meet the dosing conditions. The third line is the study of thermal properties of biotissues in a wide temperature range (including pathologically altered tissues), as well as their modification to improve cryotherapy quality. The fourth line is the improvement of control cryotherapy methods. Work automation of the elements of cryosurgical devices and the diagnostic support on a real-time basis are necessary. It enables to provide a surgeon with a complete presentation. The fifth research line is connected with the creation of cryosurgical robotic technologies. Robot-assisted medicine has widespread application, it becoming more technically and medically advanced. Robotic technologies open great challenges for future development of the entire branches of clinical medicine including cryosurgery.The problem of insufficient opportunities of cryosurgical units to meet the medical and technical requirements is found to be related to the lack of control procedure options rather than the imperfection of equipment technical characteristics. To achieve a high efficiency of cryotherapy, the problem is to be solved comprehensively. The development of medical imaging technologies, computational power and equipment maintenance of the technique can make it possible to extend significantly the functionality and application area of cryosurgical apparatuses so that in the future to increase the competitive capability of a cryotechnique.

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Modeling of repeating freezing of biological tissues and analysis of possible microwave monitoring of local regions of thawing

Cited by 31 publications

References 36 publications

Numerical thermal simulation of cryoexposure using Ansys

Numerical thermal simulation of cryoexposure using Ansys

Numerical Simulation of Thermal Processes in a Domain of Thin Metal Film Subjected to an Ultrashort Laser Pulse

Prerequisites for Developing New Generation Cryosurgical Devices (Review)

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