用矩阵阵列进行体积超声成像的方向一致性因子
概括
这项研究引入了一种新的定向连贯因子 (DCF) 方法,以提高体积超声波成像分辨率. 通过考虑矩阵阵列的二维性质,DCF增强了图像对比度和空间分辨率.
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
- 信号处理 信号处理
背景情况:
- 在体积超声成像中,小型光圈矩阵阵列限制空间和对比分辨率.
- 传统的连贯系数 (CF) 方法无法充分利用矩阵数组的二维空间连贯性.
研究的目的:
- 开发一个基于投影的定向连贯因子 (DCF) 束former.beamformer.
- 为了提高体积超声波成像中的空间和对比分辨率,使用2D矩阵阵列.
主要方法:
- 拟议的DCF项目将光圈数据转移到亚齐木斯方向,高度方向,对角方向和反对角方向.
- 计算了每个方向的CF,乘以直角对 (DCFRC,DCFDiag),并使用Jaccard相似性进行最终的DCF权重.
- 在模拟,幻影和体内成像中对延迟和总和 (DAS) 和常规CF进行评估的DCF.
主要成果:
- 与传统CF相比,DCF在整个体积中实现了显著的侧叶片减少.
- 在DCF中对角加权提高了4.13% (vs. DAS) 和7.35% (vs. CF) 的亚齐木斯分辨率.
- 高度分辨率提高了40.4% (vs. DAS) 和38.7% (vs. CF) 的DCF对角加权.
结论:
- 拟议的DCF光束制造器有效地利用了体积连贯性的二维性质.
- 在2D矩阵阵列体积超声波成像中,DCF提供了增强分辨率和对比度的实用解决方案.
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