Literature DB >> 26186867

Simulation of thermal ablation by high-intensity focused ultrasound with temperature-dependent properties.

C W Huang1, M K Sun2, B T Chen3, J Shieh4, C S Chen5, W S Chen6.   

Abstract

An integrated computational framework was developed in this study for modeling high-intensity focused ultrasound (HIFU) thermal ablation. The temperature field was obtained by solving the bioheat transfer equation (BHTE) through the finite element method; while, the thermal lesion was considered as a denatured material experiencing phase transformation and modeled with the latent heat. An equivalent attenuation coefficient, which considers the temperature-dependent properties of the target material and the ultrasound diffraction due to bubbles, was proposed in the nonlinear thermal transient analysis. Finally, a modified thermal dose formulation was proposed to predict the lesion size, shape and location. In-vitro thermal ablation experiments on transparent tissue phantoms at different energy levels were carried out to validate this computational framework. The temperature histories and lesion areas from the proposed model show good correlation with those from the in-vitro experiments.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Ablation; Attenuation coefficient; High-intensity focused ultrasound (HIFU); Latent heat; Thermal dose

Mesh:

Substances:

Year:  2015        PMID: 26186867     DOI: 10.1016/j.ultsonch.2015.06.003

Source DB:  PubMed          Journal:  Ultrason Sonochem        ISSN: 1350-4177            Impact factor:   7.491


  2 in total

1.  Development and validation of a MRgHIFU non-invasive tissue acoustic property estimation technique.

Authors:  Sara L Johnson; Christopher Dillon; Henrik Odéen; Dennis Parker; Douglas Christensen; Allison Payne
Journal:  Int J Hyperthermia       Date:  2016-08-08       Impact factor: 3.914

2.  In Vivo Non-Thermal, Selective Cancer Treatment With High-Frequency Medium-Intensity Focused Ultrasound.

Authors:  Yongkui Tang; Leng-Ying Chen; Ailin Zhang; Chun-Peng Liao; Mitchell Eric Gross; Eun Sok Kim
Journal:  IEEE Access       Date:  2021-08-27       Impact factor: 3.367

  2 in total

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