Anders Emil Vrålstad;Ole Marius Hoel Rindal;Tore Grüner Bjåstad;Svein-Erik Måsøy
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To evaluate the efficacy of our method, we simulate wave propagation and measure the resolution of in vitro images using both phased and curvilinear arrays. The results of the suggested virtual source estimation method match the simulated wave propagation for multiple F-numbers and both positive and negative sound speed errors. We compare beamformed images using correct/incorrect sound speeds and correct/incorrect virtual source positions. The results demonstrate that the Corrected Virtual Source (CVS) method generates artifact-free images with superior quality compared to images with incorrect sound speed. Furthermore, the image beamformed with the correct sound speed, but incorrect virtual source position, exhibits image artifacts and inferior focusing quality compared to the CVS image.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"4 ","pages":"52-62"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10552357","citationCount":"0","resultStr":"{\"title\":\"Sound Speed and Virtual Source Correction in Synthetic Transmit Focusing\",\"authors\":\"Anders Emil Vrålstad;Ole Marius Hoel Rindal;Tore Grüner Bjåstad;Svein-Erik Måsøy\",\"doi\":\"10.1109/OJUFFC.2024.3411578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In beamforming, retrospective change in sound speed and recalculation of focusing delays is attractive both for improving image quality and for using it in an iterative image quality optimization process. Modifying the speed of sound retrospectively for focused transmits is challenging because the transmit focus position is a function of sound speed error. The virtual source model is a common way to calculate the transmit focusing delays where using the correct transmit focus position is imperative. In this paper, we provide the methods necessary to perform a retrospective sound-speed correction by compensating the receive grid and by calculating the effective transmit focus needed to perform proper synthetic transmit focusing. To evaluate the efficacy of our method, we simulate wave propagation and measure the resolution of in vitro images using both phased and curvilinear arrays. The results of the suggested virtual source estimation method match the simulated wave propagation for multiple F-numbers and both positive and negative sound speed errors. We compare beamformed images using correct/incorrect sound speeds and correct/incorrect virtual source positions. 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引用次数: 0
摘要
在波束成形中,追溯性地改变声速和重新计算聚焦延迟对提高图像质量和在迭代图像质量优化过程中使用都很有吸引力。由于发射聚焦位置是声速误差的函数,因此追溯性地修改聚焦发射的声速具有挑战性。虚拟声源模型是计算发射聚焦延迟的常用方法,在这种情况下,必须使用正确的发射聚焦位置。在本文中,我们提供了通过补偿接收网格和计算正确合成发射聚焦所需的有效发射聚焦来进行声速回溯校正的必要方法。为了评估我们方法的有效性,我们模拟了波的传播,并使用相位阵列和曲线阵列测量了体外图像的分辨率。所建议的虚拟声源估算方法的结果与模拟的多 F 数和正负声速误差的波传播相吻合。我们比较了使用正确/不正确声速和正确/不正确虚拟声源位置的波束形成图像。结果表明,与声速错误的图像相比,校正虚拟声源(CVS)方法生成的无伪影图像质量更高。此外,与 CVS 图像相比,采用正确声速但虚拟声源位置不正确的波束成形图像会出现图像伪影,聚焦质量较差。
Sound Speed and Virtual Source Correction in Synthetic Transmit Focusing
In beamforming, retrospective change in sound speed and recalculation of focusing delays is attractive both for improving image quality and for using it in an iterative image quality optimization process. Modifying the speed of sound retrospectively for focused transmits is challenging because the transmit focus position is a function of sound speed error. The virtual source model is a common way to calculate the transmit focusing delays where using the correct transmit focus position is imperative. In this paper, we provide the methods necessary to perform a retrospective sound-speed correction by compensating the receive grid and by calculating the effective transmit focus needed to perform proper synthetic transmit focusing. To evaluate the efficacy of our method, we simulate wave propagation and measure the resolution of in vitro images using both phased and curvilinear arrays. The results of the suggested virtual source estimation method match the simulated wave propagation for multiple F-numbers and both positive and negative sound speed errors. We compare beamformed images using correct/incorrect sound speeds and correct/incorrect virtual source positions. The results demonstrate that the Corrected Virtual Source (CVS) method generates artifact-free images with superior quality compared to images with incorrect sound speed. Furthermore, the image beamformed with the correct sound speed, but incorrect virtual source position, exhibits image artifacts and inferior focusing quality compared to the CVS image.