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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Dynamic frame pairing in real-time freehand elastography
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Dynamic frame pairing in real-time freehand elastography

机译：实时徒手弹性成像中的动态框架配对

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摘要

Quasi-static ultrasound (US) elastography is now a well-established technique that involves acquiring US (RF/ envelope) signals from an imaging plane before and after a small quasi-static compression to form axial strain elastograms (ASE). The image quality of the ASEs is a function of the applied axial strain. This relationship was extensively investigated and formalized in terms of strain filter in the literature. Most of the work in elastography formed elastograms by choosing pre- and post-compression frames separated by a desired compression strain. Although this approach is feasible in simulations and in vitro/in vivo experiments that involve controlled compression, it has been a challenge to do this during freehand compression in real time. In this work, we describe a one-prediction-one- correction method that dynamically selects pre- and post- compression frames to form an elastogram, based on the applied axial strain level. We validate the method using controlled compression experiments on phantoms and compare the performance of the dynamic frame pairing method against successive-frame pairing method in terms of the contrast-to-noise ratio (CNRe). Further, we demonstrate the advantages of the new method with the help of freehand acquired data from phantom experiments and in vivo breast data. The results demonstrate that the frame-pairing identified by the dynamic method matched the frame pairing that was designed to yield an applied axial strain of -C;1%. The CNRe obtained by the traditional approach varied from as low as -C;5 to as high as -C;25, depending on the choice of skip number and compression rate. However, the dynamic frame pairing method provided elastograms with a CNRe that was consistently around -C;20, irrespective of the compression rate. The results from analysis of 22 in vivo breast data demonstrated that the dynamic pairing method generated elastograms such that the frame-average- axial strain (FAAS) of each frame in the cineloop is consistently -C;1% (0.011 1; 0.001).
机译：准静态超声（US）弹性成像技术现已成为一项成熟的技术，涉及在小的准静态压缩前后，从成像平面获取US（RF /包络）信号，以形成轴向应变弹性成像（ASE）。 ASE的图像质量是所施加轴向应变的函数。在文献中，对这种关系进行了广泛的研究并根据应变过滤器将其形式化。弹性成像中的大多数工作都是通过选择被所需压缩应变分开的压缩前和压缩后帧来形成弹性图。尽管这种方法在涉及受控压缩的模拟和体外/体内实验中是可行的，但是在徒手压缩中实时进行压缩仍然是一个挑战。在这项工作中，我们描述了一种单预测一校正的方法，该方法根据施加的轴向应变水平动态选择压缩前和压缩后的帧以形成弹性图。我们使用模型上的受控压缩实验验证了该方法，并根据对比噪声比（CNR e ）比较了动态帧配对方法与连续帧配对方法的性能。此外，我们借助从幻像实验中获得的徒手获取的数据和体内乳腺数据证明了该新方法的优势。结果表明，通过动态方法识别的框架配对与旨在产生-C; 1％的施加轴向应变的框架配对匹配。通过传统方法获得的CNR e 的范围从低至-C; 5到高至-C; 25不等，具体取决于跳过次数和压缩率的选择。但是，动态帧配对方法提供的弹性图的CNR 始终在-C; 20左右，而与压缩率无关。对22个体内乳腺数据的分析结果表明，动态配对方法生成了弹性图，以使电影环中每个帧的帧平均轴向应变（FAAS）始终为-C; 1％（0.011 1; 0.001）。

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