用于心内心声谱的非线性光束成型:一项比较研究
Hyunhee Kim1, Seonghee Cho2, Eunwoo Park1
1Department of Electrical Engineering, Convergence IT Engineering, Device Innovation Center, and Graduate School of Artificial Intelligence, Pohang University of Science and Technology, Pohang, 37673 South Korea.
Biomedical engineering letters
|April 22, 2024
概括
新的光束成形方法通过减少工件显著提高了心内心电回声 (ICE) 图像质量. 非线性光谱大小缩放 (NL-p-SMS) 提供了更好的轴分辨率和运动跟踪,以提供更好的外科指导.
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
- 生物医学工程 生物医学工程
背景情况:
- 心内回声心脏成像 (ICE) 提供了关键的手术内心脏成像,但患有侧叶和叶人工物.
- 传统的光圈光圈缩小了工件,但损害了ICE中必要的横向分辨率.
- 需要先进的光束成形技术来提高ICE图像质量,而不会牺牲分辨率.
研究的目的:
- 为了比较评估五种非线性束形算法用于心内心声回应.
- 评估这些算法在改善图像质量,文物抑制和分辨率方面的性能.
- 为ICE应用确定最有效的光束成形方法,包括运动跟踪.
主要方法:
- 在ICE中实施并比较了五种束形算法:非线性pth根延迟和和 (NL-p-DAS),非线性pth根光谱大小缩放 (NL-p-SMS),延迟和和与连贯因子 (DAS+SCF),延迟和和与apodization (DAS+apodization) 以及常规延迟和和 (DAS).
- 在静态和动态条件下使用幻影和活体实验来评估算法性能.
- 关键指标包括横向分辨率,轴向分辨率,图像对比度,侧叶抑制,格子叶抑制和时间分辨率.
主要成果:
- DAS+SCF显示出最好的侧向分辨率.
- NL-p-SMS实现了最佳的轴分辨率和优越的抑制格叶工件.
- 与传统的DAS相比,所有测试的非线性方法都改善了图像对比度和侧叶抑制;NL-p-SMS在运动跟踪的时间分辨率方面表现出色.
结论:
- 非线性光束成形算法显著提高心内回声心脏图像质量比传统的DAS.
- NL-p-SMS提供了轴分辨率,格叶人工物抑制和时间分辨率的最佳组合.
- 在ICE程序中,NL-p-SMS显示了提高诊断准确性和运动跟踪的巨大潜力.
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