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A Novel Ultrasonic-Imaging Based Temperature Estimation Approach by Instantaneous Frequency Detection: (Instantaneous frequency detection for temperature estimation)

机译:基于微型频率检测的新型超声波成像的温度估计方法:(温度估计瞬时频率检测)

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Focused ultrasound thermal therapy relies on temperature monitoring for treatment guidance and assurance of targeting and dose control; a potential approach to achieve these is ultrasonic temperature estimation. The approach used currently involves the detection of echo time shifts based on cross-correlation processing from the segmented radio-frequency (RF) data. In this study, we propose a novel 2D ultrasonic temperature measurement approach by detecting changes in instantaneous frequency. We proposed a novel echo time-shift based algorithm to perform fast temperature estimation from ultrasonic imaging. This new algorithm may serve as an alternative for implementing 2D temperature estimation into a clinical ultrasound imager. Focused ultrasound was used as the heating source, and the beamformed RF signals provided from a 2D ultrasound imager were used to verify the proposed algorithm for temperature change estimation. For comparison, a conventional cross-correlation technique was also evaluated. Heating experiments of tissue-mimicking phantoms and ex-vivo porcine muscles were conducted. Our results show that the proposed new algorithm yields up to six times better computational efficiency while its contrast detection ability and precision rival those of cross-correlation-based algorithm. In the ex-vivo tissue experiments, we also presented the irreversibility of the echo time-shift effect in the necrotic region, which is different from that in the tissue-mimicking phantoms. In this study, we propose a new approach for temperature estimation by employing instantaneous frequency detection; it was implemented by using a simple zero-crossing algorithm. Some of the features of this approach are its superior computational efficiency and the possibility of higher spatial resolution for temperature mapping. Further, the experimental results have demonstrated that the proposed algorithm can provide similar temperature detection ability and precision as compared to the cross-correlation algorithm. Tissue irreversibility when approaching the necrotic temperature encounters difficulty in accurate temperature estimation, which has been proposed and discussed as an alternative possibility to detect tissue necrosis rather than temperature. This provides useful information as well as an alternative for the clinical applications of such an ultrasound-based temperature estimation technology.
机译:聚焦超声热疗依赖于温度监测治疗指导和靶向和剂量控制的保证;实现这些的潜在方法是超声波温度估计。目前使用的方法涉及基于来自分段射频(RF)数据的互相关处理的回波时间移位的检测。在这项研究中,我们通过检测瞬时频率的变化提出了一种新的2D超声波温度测量方法。我们提出了一种新的回波时移基于基于算法,​​以进行超声成像的快速温度估计。该新算法可以用作实现2D温度估计到临床超声成像仪中的替代方案。聚焦超声用作加热源,并且使用由2D超声成像器提供的波束形成的RF信号来验证所提出的温度变化估计算法。为了比较,还评估了传统的互相关技术。进行了组织模拟幽灵和前体内猪肌的加热实验。我们的研究结果表明,所提出的新算法在其对比度检测能力和基于互相关的算法的对比度检测能力和精度竞争竞争中产生高达六倍的计算效率。在前体内组织实验中,我们还介绍了对坏死区中的回声时变效应的不可逆性,其与组织模拟的幽灵中的反应区不同。在这项研究中,我们提出了一种通过采用瞬时频率检测来估算的新方法;它是通过使用简单的零交叉算法来实现的。这种方法的一些特征是其卓越的计算效率和温度映射更高空间分辨率的可能性。此外,实验结果表明,与互相关算法相比,所提出的算法可以提供类似的温度检测能力和精度。组织不可逆性在接近坏死的温度时遇到准确温度估计的难度,这已经提出并讨论了检测组织坏死而不是温度的替代可能性。这提供了有用的信息,以及这种超声基温度估计技术的临床应用的替代方案。

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