适应性更高阶单数值分解杂乱过器,用于在不可忽视的组织运动下对冠状动脉流的超快速多普勒成像
Yizhou Huang1, Xufei Chen1, Emilia Badescu2
1Lab. of Biomedical Diagnostics, Eindhoven University of Technology, Eindhoven, The Netherlands.
Ultrasonics
|April 5, 2024
概括
这项研究引入了一种适应性高阶单数值分解 (HOSVD) 过器,用于胸前超声波成像,在有显著组织运动的情况下改善心脏流量测量. 这种新的方法增强了杂乱和血液信号的分离,以获得更清晰的动力多普勒成像.
科学领域:
- 医疗成像医学成像
- 超声波技术 超声波技术 超声波技术
- 心血管诊断心血管诊断服务
背景情况:
- 像单数值分解 (SVD) 这样的先进的杂乱过技术可以进行心脏流量测量.
- 胸外超声波成像带来了一些挑战,包括更小的光圈,减少脉冲重复频率和显著的组织运动.
- 这些挑战使杂乱和血液信号之间的区别变得复杂,阻碍了准确的流量测量.
研究的目的:
- 为了研究一种克服跨胸腔心脏流量测量的挑战的策略.
- 通过分离波成像和新的杂乱过技术来增强杂乱和血液信号的分离.
主要方法:
- 采用具有最佳数量的倾斜角度的分离波成像.
- 开发并应用了一种新的,自适应的,更高阶的SVD (HOSVD) 杂乱过器.
- 利用空间,时间和角度信息来改善信号分离.
主要成果:
- 较少的倾斜角度通过减少波形折叠关系和增加时间样本来提高多普勒性能.
- 使用第三个角维度的HOSVD,在从3D张量器中选择血液分离值时提供了更大的灵活性.
- 与SVD过器相比,HOSVD过的电源多普勒图像显示了对比度和对比度与噪声比率的显著改善.
结论:
- 改进的设置和HOSVD过器证明了测量冠心流的可行性.
- 尽管体外和体外组织的组织运动不可忽视,但冠状动脉流量的成功测量得到了实现.
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