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首页> 外文期刊>Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on >Regional cardiac motion and strain estimation in three-dimensional echocardiography: a validation study in thick-walled univentricular phantoms
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Regional cardiac motion and strain estimation in three-dimensional echocardiography: a validation study in thick-walled univentricular phantoms

机译:三维超声心动图中的区域性心脏运动和应变估计:厚壁单心室体模的验证研究

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Automatic quantification of regional left ventricular deformation in volumetric ultrasound data remains challenging. Many methods have been proposed to extract myocardial motion, including techniques using block matching, phase-based correlation, differential optical flow methods, and image registration. Our lab previously presented an approach based on elastic registration of subsequent volumes using a B-spline representation of the underlying transformation field. Encouraging results were obtained for the assessment of global left ventricular function, but a thorough validation on a regional level was still lacking. For this purpose, univentricular thick-walled cardiac phantoms were deformed in an experimental setup to locally assess strain accuracy against sonomicrometry as a reference method and to assess whether regions containing stiff inclusions could be detected. Our method showed good correlations against sonomicrometry: r2 was 0.96, 0.92, and 0.84 for the radial (εRR), longitudinal (εLL), and circumferential (εCC) strain, respectively. Absolute strain errors and strain drift were low for εLL (absolute mean error: 2.42%, drift: -1.05%) and εCC (error: 1.79%, drift: -1.33%) and slightly higher for εRR (error: 3.37%, drift: 3.05%). The discriminative power of our methodology was adequate to resolve full transmural inclusions down to 17 mm in diameter, although the inclusion-to-surrounding tissue stiffness ratio was required to be at least 5:2 (absolute difference of 39.42 kPa). When the inclusion-to-surrounding tissue stiffness ratio was lowered to approximately 2:1 (absolute difference of 22.63 kPa), only larger inclusions down to 27 mm in diameter could still be identified. Radial strain was found not to be reliable in identifying dysfunctional regions.
机译:在体积超声数据中自动量化局部左心室变形仍然具有挑战性。已经提出了许多提取心肌运动的方法,包括使用块匹配,基于相位的相关性,差分光流方法和图像配准的技术。我们的实验室先前提出了一种方法,该方法使用基础变换字段的B样条表示法,基于后续体积的弹性配准。评估总体左心室功能获得了令人鼓舞的结果,但仍缺乏在区域一级的全面验证。为此,在实验设置中使单心室厚壁心脏体模变形,以局部评估针对体测法的应变准确度作为参考方法,并评估是否可以检测到包含硬性夹杂物的区域。我们的方法显示出与人体计量学的良好相关性:径向(ε RR ),纵向(ε LL )的r 2 分别为0.96、0.92和0.84 )和周向(ε CC )应变。 ε LL (绝对平均误差:2.42%,漂移:-1.05%)和ε CC (误差:1.79%,漂移:)的绝对应变误差和应变漂移均较低-1.33%),而ε RR 则略高(误差:3.37%,漂移:3.05%)。尽管要求夹杂物与周围组织的刚度之比至少为5:2(绝对差为39.42 kPa),但我们方法的判别力足以解决直径不超过17 mm的完整透壁夹杂物。当夹杂物与周围组织的刚度比降低至大约2:1(绝对差为22.63 kPa)时,仍只能识别出直径最大至27 mm的较大夹杂物。发现径向应变在识别功能障碍区域方面不可靠。

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