Aberration correction in 3D transthoracic echocardiography

Svein-Erik Måsøy , Bastien Dénarié , Anders Sørnes , Espen Holte , Bjørnar Grenne , Torvald Espeland , Erik Andreas Rye Berg , Ole Marius Hoel Rindal , Wayne Rigby , Tore Bjåstad
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Abstract

Three-dimensional cardiac imaging has been available in the clinic for more than two decades. Continuous improvement in image quality has occurred in this period due to the development of probe technology and beamforming techniques. The purpose of this article is to quantitatively and qualitatively analyze the effect of a commercially available aberration correction algorithm on clinically acquired 3D transthoracic echocardiography (3D TTE) images. Clinical triplane and 3D volume cineloops of at least one cardiac cycle of pre-beamformed channel data were captured from 50 patients using a GE HealthCare Vivid E95 system with the 4Vc-D matrix array probe. This resulted in a total of 3200 vol and 3136 triplane frames. The data were post-processed with and without aberration correction. Quantitatively, assessed by an image quality parameter based on coherence, all recordings were improved by aberration correction compared to those without aberration correction. Triplane data obtained a larger improvement in image quality than volume data. Qualitatively, as demonstrated by case examples, aberration-corrected images appear sharper, have a brighter tissue signal compared to the cavity, and provide better delineation of cardiac structures. 3D rendering of valves can also be significantly improved. In general, aberration correction provides a systematic improvement in clinical cardiac triplane and 3D volume images.

三维经胸超声心动图的畸变校正
三维心脏成像技术应用于临床已有二十多年的历史。在此期间,由于探头技术和波束成形技术的发展,图像质量不断提高。本文旨在定量和定性分析市售的像差校正算法对临床获取的三维经胸超声心动图(3D TTE)图像的影响。使用配备 4Vc-D 矩阵阵列探头的 GE HealthCare Vivid E95 系统采集了 50 名患者至少一个心脏周期的预波束通道数据的临床三平面和三维容积环形图像。结果共获得 3200 vol 和 3136 个三平面帧。对数据进行了后处理,包括像差校正和非像差校正。通过基于相干性的图像质量参数进行定量评估,与未进行像差校正的数据相比,所有记录都通过像差校正得到了改善。与容积数据相比,三平面数据的图像质量改善幅度更大。从质量上看,如病例所示,经过像差校正的图像看起来更清晰,与空腔相比,组织信号更明亮,能更好地勾勒心脏结构。瓣膜的三维渲染效果也有明显改善。总的来说,像差校正能系统地改善临床心脏三平面和三维容积图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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