稀疏三维心脏超声快速心肌运动与应变估计

O. Somphone, M. D. Craene, R. Ardon, B. Mory, P. Allain, Hang Gao, J. D’hooge, S. Marchesseau, Maxime Sermesant, H. Delingette, E. Saloux
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引用次数: 27

摘要

本文提出了一种在三维超声心动图中进行运动和应变估计的新方法,称为稀疏恶魔,以及合成超声序列数据集的定量和定性评估。运动估计是基于一种快速的恶魔式算法,专注于心肌组织。将心脏生物力学模型与真实超声成像模型相结合,生成合成三维超声图像。在力学模型中定义了缺血区域,以研究我们的算法是否可以区分健康和病变的部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast myocardial motion and strain estimation in 3D cardiac ultrasound with Sparse Demons
This article presents a new method for motion and strain estimation in 3D echocardiography, called Sparse Demons, along with quantitative and qualitative evaluations from a dataset of synthetic ultrasound sequences. Motion estimation is based on a fast demons-like algorithm focusing on myocardial tissue. Synthetic 3D ultrasound images were generated by combining a biomechanical model of the heart with a realistic ultrasound imaging model. Ischemic areas were defined in the mechanical model to investigate whether our algorithm can discriminate healthy from diseased segments.
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