经颅聚焦超声相位像差校正算法的系统综述

iRadiology Pub Date : 2024-12-19 DOI:10.1002/ird3.112
Mingyu Wang, Zhouyang Xu, Bingbing Cheng
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引用次数: 0

摘要

经颅聚焦超声(tFUS)是一种新兴的无创治疗脑部疾病的方法。然而,颅骨的非均匀性和复杂结构导致了大量的相位像差和压力衰减;这些会扭曲和转移声学焦点,从而阻碍了tFUS治疗的效率。为了实现有效的治疗,相控阵换能器与像差校正算法相结合。本报告的目的是提供一个全面的审查目前的方法用于tFUS相位像差校正。我们首先检索了PubMed和Web of Science数据库中有关相位像差校正算法的研究,确定了54篇文章进行综述。然后从选定的文章中提取相关信息,包括算法原理和重新聚焦性能。相位校正算法包括两个主要步骤:声场估计和发射脉冲调整。我们的综述确定了评估这些算法有效性的关键基准,其中每一个至少在三个研究中使用。这些基准包括压力和强度、定位误差、焦点区域大小、峰值旁瓣比和计算效率。算法性能在不同的基准下有所不同,因此突出了针对特定应用的算法选择对于实现最佳tFUS治疗结果的重要性。本文对各种相位校正算法进行了全面的综述和比较,可以为tFUS研究人员在具体应用中选择合适的相位校正算法提供有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound

Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound

Transcranial focused ultrasound (tFUS) is an emerging modality with strong potential for non-invasively treating brain disorders. However, the inhomogeneity and complex structure of the skull induce substantial phase aberrations and pressure attenuation; these can distort and shift the acoustic focus, thus hindering the efficiency of tFUS therapy. To achieve effective treatments, phased array transducers combined with aberration correction algorithms are commonly implemented. The present report aims to provide a comprehensive review of the current methods used for tFUS phase aberration correction. We first searched the PubMed and Web of Science databases for studies on phase aberration correction algorithms, identifying 54 articles for review. Relevant information, including the principles of algorithms and refocusing performances, were then extracted from the selected articles. The phase correction algorithms involved two main steps: acoustic field estimation and transmitted pulse adjustment. Our review identified key benchmarks for evaluating the effectiveness of these algorithms, each of which was used in at least three studies. These benchmarks included pressure and intensity, positioning error, focal region size, peak sidelobe ratio, and computational efficiency. Algorithm performances varied under different benchmarks, thus highlighting the importance of application-specific algorithm selection for achieving optimal tFUS therapy outcomes. The present review provides a thorough overview and comparison of various phase correction algorithms, and may offer valuable guidance to tFUS researchers when selecting appropriate phase correction algorithms for specific applications.

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