Reconstruction algorithm for improved ultrasound image quality.
Reconstruction algorithm for improved ultrasound image quality.
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DOI：
10.1109/tuffc.2012.2182
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发表时间：
2012-02
期刊：
影响因子：
--
通讯作者：
Meral FC
中科院分区：
文献类型：
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作者：
Madore B;Meral FC
提出了一种将原始射频数据重建为超声图像的新算法。以前的延迟和和波束成形重建算法基本上是一维的，因为对所有接收单元执行求和。相反，本方法是二维的，潜在地允许来自任何接收元素的任何时间点对任何像素位置做出贡献。计算机密集的矩阵求逆是提前一次完成的，以创建重建矩阵，该重建矩阵可以对给定的探头和成像几何图形无限重复使用。单个图像通过与原始RF数据的单个矩阵乘法生成，而不需要单独的包络检测或网格化步骤。使用商用数字超声引擎获取三种成像几何的原始RF数据集：具有矩形视场(FOV)的元素阵列、具有扇形视场的相同探头和具有矩形视场的128元素阵列。为了进行比较，使用我们提出的方法和延迟和波束形成算法对采集的数据进行了重建。在水浴中对金属线的点扩展函数(PSF)测量表明，所提出的方法能够将PSF的大小和/或其空间积分减小约20%到38%。当用所提出的方法重建时，来自商业上可获得的质量保证模型的图像具有更高的空间分辨率和/或对比度。
A new algorithm is proposed for reconstructing raw RF data into ultrasound images. Prior delay-and-sum beamforming reconstruction algorithms are essentially one-dimensional, as a sum is performed across all receiving elements. In contrast, the present approach is two-dimensional, potentially allowing any time point from any receiving element to contribute to any pixel location. Computer-intensive matrix inversions are performed once-and-for-all ahead of time, to create a reconstruction matrix that can be reused indefinitely for a given probe and imaging geometry. Individual images are generated through a single matrix multiplication with the raw RF data, without any need for separate envelope detection or gridding steps. Raw RF datasets were acquired using a commercially available digital ultrasound engine for three imaging geometries: a 64-element array with a rectangular field-of-view (FOV), the same probe with a sector-shaped FOV, and a 128-element array with rectangular FOV. The acquired data were reconstructed using our proposed method and a delay-and-sum beamforming algorithm, for comparison purposes. Point-spread-function (PSF) measurements from metal wires in a water bath showed the proposed method able to reduce the size of the PSF and/or its spatial integral by about 20 to 38%. Images from a commercially available quality-assurance phantom featured greater spatial resolution and/or contrast when reconstructed with the proposed approach.