Aberration correction-impact on image quality and chamber quantification in transthoracic echocardiography.

European heart journal. Imaging methods and practice Pub Date : 2024-12-18 eCollection Date: 2025-01-01 DOI:10.1093/ehjimp/qyae140
Erik Andreas Rye Berg, Torvald Espeland, Håvard Dalen, Bjørnar Grenne, Tore Grüner Bjåstad, Espen Holte, Svein-Erik Måsøy
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Abstract

Aims: To improve image quality (IQ) in echocardiography, an aberration correction (AC) algorithm has recently been implemented in commercial scanners. We aimed to study (i) the correlation of a subjective IQ-score and an objective IQ-metric [global image coherence (GIC)], (ii) if AC improved IQ; (iii) if AC affected average values and interobserver agreement of left ventricular (LV) size, LV longitudinal strain, and left atrial (LA) volume.

Methods and results: From 50 adult patients, where 45 (90%) had cardiovascular disease, unprocessed image data (channel data) were acquired from six standard transthoracic views. The data were processed with and without AC, resulting in 300 pairs of cine-loops. The cine-loops were randomly presented one-by-one to two blinded raters experienced in echocardiography. Both raters scored IQ subjectively from 1 (poor) to 4 (very good) and quantified LV dimensions, volumes and longitudinal strain, and LA volume. IQ-score correlated with GIC, Spearman rho 0.72, P < 0.001. AC improved median IQ-score from 2.5 to 3.0 (Wilcoxon signed rank: P < 0.001). The differences in average values of LV size, LV longitudinal strain, or LA volume with and without AC were not statistically significant and numerically minimal. Measured by intraclass correlation, interobserver agreement of these values was not significantly affected by AC.

Conclusion: Image quality-score strongly correlated with GIC. Aberration correction improved IQ. However, AC did not lead to statistically significant changes in average values or interobserver agreement of LV size, LV longitudinal strain or LA volume quantification. Likely, the major benefit of AC is enhanced visualization of anatomical details.

畸变校正--对经胸超声心动图图像质量和心腔定量的影响。
目的:为了提高超声心动图的图像质量(IQ),一种像差校正(AC)算法最近被应用于商用扫描仪中。我们的目的是研究(i)主观智商得分和客观智商度量[全局图像一致性(GIC)]的相关性,(ii) AC是否能提高智商;(iii)交流是否影响左室(LV)大小、左室纵应变和左房(LA)容积的平均值和观察者间的一致性。方法和结果:50例成人患者,其中45例(90%)患有心血管疾病,从6个标准经胸视图获取未经处理的图像数据(通道数据)。这些数据在有交流和没有交流的情况下进行了处理,得到了300对电影回路。电影循环随机呈现给两个有超声心动图经验的盲法评分者。两名评分者对智商的主观评分从1(差)到4(很好),并量化了LV尺寸、体积和纵向应变以及LA体积。IQ-score与GIC相关,Spearman ρ 0.72, P < 0.001。AC将中位iq得分从2.5提高到3.0 (Wilcoxon signed rank: P < 0.001)。在有和没有交流的情况下,左室大小、左室纵向应变或左室体积的平均值的差异没有统计学意义,数值上也很小。通过类内相关测量,ac对这些值的一致性没有显著影响。结论:图像质量评分与GIC有很强的相关性。像差校正提高了智商。然而,交流并没有导致左室大小、左室纵向应变或左室体积量化的平均值或观察者间一致性的统计学显著变化。可能,AC的主要好处是增强了解剖细节的可视化。
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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