Performance assessment of HIFU lesion detection by harmonic motion imaging for focused ultrasound (HMIFU): a 3-D finite-element-based framework with experimental validation.
Performance assessment of HIFU lesion detection by harmonic motion imaging for focused ultrasound (HMIFU): a 3-D finite-element-based framework with experimental validation.
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DOI：
10.1016/j.ultrasmedbio.2011.09.005
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发表时间：
2011-12
影响因子：
2.9
通讯作者：
Konofagou, Elisa E.
中科院分区：
文献类型：
--
作者：
Hou, Gary Y.;Luo, Jianwen;Marquet, Fabrice;Maleke, Caroline;Vappou, Jonathan;Konofagou, Elisa E.
关键词：
聚焦超声谐波运动成像 (HMIFU) 是一种新型高强度聚焦超声 (HIFU) 治疗监测方法，其可行性已在体外、离体和体内得到验证。其原理基于调幅 (AM) - 谐波运动成像 (HMI)，这是一种振荡辐射力，用于对热消融过程中的组织机械响应进行成像。在这项研究中，提出了 HMIFU 的理论框架，包括定制的非线性波传播模型、有限元 (FE) 分析模块和图像形成模型。本研究的目的是开发这样一个框架，以便 1) 根据组织表观弹性的变化（即杨氏模量的增加和 HIFU 病变大小相对于 HIFU 暴露时间的变化）评估 HMIFU 在检测 HIFU 病变方面的基本性能，2) 验证离体模拟结果。使用与实验研究中相同的 HMI 和 HMIFU 参数，即 4.5 MHz HIFU 频率和 25 Hz AM 频率。对于病变与背景杨氏模量比为 3、6 和 9 的情况，FE 和估计的 HMI 位移比分别等于 1.83、3.69、5.39 和 1.65、3.19、4.59。在实验中，在 HIFU 暴露 10 秒、20 秒和 30 秒时，HMI 位移遵循类似的增加趋势，分别为 1.19、1.28 和 1.78。此外，在模拟（16.2、73.1 和 334.7 mm2）和实验（26.2、94.2 和 206.2 mm2）中也发现病灶尺寸增长具有适度的一致性。因此，通过所开发的理论框架验证了HMIFU基于底层组织弹性变化进行HIFU病变检测的可行性，即从理论上和体外验证了HMIFU系统用于病变检测、定位和量化的基本性能。
Harmonic Motion Imaging for Focused Ultrasound (HMIFU) is a novel high-intensity focused ultrasound (HIFU) therapy monitoring method with feasibilities demonstrated in vitro, ex vivo and in vivo. Its principle is based on Amplitude-modulated (AM) - Harmonic Motion Imaging (HMI), an oscillatory radiation force used for imaging the tissue mechanical response during thermal ablation. In this study, a theoretical framework of HMIFU is presented, comprising a customized nonlinear wave propagation model, a finite-element (FE) analysis module, and an image-formation model. The objective of this study is to develop such a framework in order to 1) assess the fundamental performance of HMIFU in detecting HIFU lesions based on the change in tissue apparent elasticity, i.e., the increasing Young's modulus, and the HIFU lesion size with respect to the HIFU exposure time and 2) validate the simulation findings ex vivo. The same HMI and HMIFU parameters as in the experimental studies were used, i.e., 4.5-MHz HIFU frequency and 25 Hz AM frequency. For a lesion-to-background Young's modulus ratio of 3, 6, and 9, the FE and estimated HMI displacement ratios were equal to 1.83, 3.69, 5.39 and 1.65, 3.19, 4.59, respectively. In experiments, the HMI displacement followed a similar increasing trend of 1.19, 1.28, and 1.78 at 10-s, 20-s, and 30-s HIFU exposure, respectively. In addition, moderate agreement in lesion size growth was also found in both simulations (16.2, 73.1 and 334.7 mm2) and experiments (26.2, 94.2 and 206.2 mm2). Therefore, the feasibility of HMIFU for HIFU lesion detection based on the underlying tissue elasticity changes was verified through the developed theoretical framework, i.e., validation of the fundamental performance of the HMIFU system for lesion detection, localization and quantification, was demonstrated both theoretically and ex vivo.
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DOI：
10.1016/j.jamcollsurg.2006.04.002
发表时间：
2006-07-01
影响因子：
5.2
作者：
Furusawa, H;Namba, K;Nakahara, H
通讯作者：
Nakahara, H
影响因子：
3.5
作者：
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通讯作者：
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影响因子：
56.9
作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1109/t-su.1984.31529
发表时间：
1984-01-01
期刊：
IEEE TRANSACTIONS ON SONICS AND ULTRASONICS
影响因子：
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作者：
CORRY, PM;JABBOURY, K;KONG, JS
通讯作者：
KONG, JS