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凸阵探头的脉冲回波声速成像。

Pulse-echo speed-of-sound imaging using convex probes.

机构信息

Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.

Hologic®-Supersonic Imagine®, 135 Rue Emilien Gautier Bâtiment C, F-13290 Aix en Provence, France.

出版信息

Phys Med Biol. 2022 Oct 31;67(21). doi: 10.1088/1361-6560/ac96c6.

Abstract

Computed ultrasound tomography in echo mode (CUTE) is a new ultrasound (US)-based medical imaging modality with promise for diagnosing various types of disease based on the tissue's speed of sound (SoS). It is developed for conventional pulse-echo US using handheld probes and can thus be implemented in state-of-the-art medical US systems. One promising application is the quantification of the liver fat fraction in fatty liver disease. So far, CUTE was using linear array probes where the imaging depth is comparable to the aperture size. For liver imaging, however, convex probes are preferred since they provide a larger penetration depth and a wider view angle allowing to capture a large area of the liver. With the goal of liver imaging in mind, we adapt CUTE to convex probes, with a special focus on discussing strategies that make use of the convex geometry in order to make our implementation computationally efficient. We then demonstrate in an abdominal imaging phantom that accurate quantitative SoS using convex probes is feasible, in spite of the smaller aperture size in relation to the image area compared to linear arrays. A preliminaryresult of liver imaging confirms this outcome, but also indicates that deep quantitative imaging in the real liver can be more challenging, probably due to the increased complexity of the tissue compared to phantoms.

摘要

超声回波模式下的计算超声断层成像(CUTE)是一种新的基于超声的医学成像方式,有望根据组织的声速(SoS)来诊断各种类型的疾病。它是为传统的脉冲回波 US 开发的,使用手持探头,因此可以在最先进的医学 US 系统中实现。一个很有前途的应用是定量诊断脂肪肝中的肝脂肪分数。到目前为止,CUTE 一直使用线性阵列探头,其成像深度与孔径大小相当。然而,对于肝脏成像,凸面探头更受欢迎,因为它们提供更大的穿透深度和更宽的视角,能够捕获肝脏的大面积。考虑到肝脏成像的目标,我们将 CUTE 适配到凸面探头,特别关注讨论利用凸面几何形状来提高计算效率的策略。然后,我们在腹部成像体模中证明了使用凸面探头进行准确的定量 SoS 是可行的,尽管与线性阵列相比,孔径大小与图像区域相比要小。肝脏成像的初步结果证实了这一结果,但也表明在真实肝脏中进行深度定量成像可能更具挑战性,这可能是由于与体模相比,组织的复杂性增加了。

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