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Eigen-filters with attenuation response adapted to clutter statistics in color flow imaging (CFI) have shown improved flow detection sensitivity in the presence of tissue motion. However, its practical adoption for routine use in clinical scanners is hindered by the long processing time required to derive the eigen-components. In this work, we seek to overcome this issue by formulating a parallel-computing...
Inside tortuous vasculatures such as aneurysms, flow patterns are inherently 3D in nature and would vary spatiotemporally in different phases of a pulse cycle. At present, it is difficult to consistently visualize such complex flow using color Doppler imaging. 4D flow imaging may be a potential solution, but existing clinical 3D scanners have hitherto yielded mediocre visualization of 3D flow volumes,...
Eigen-filters with attenuation response adapted to clutter statistics in color flow imaging (CFI) have shown improved flow detection sensitivity in the presence of tissue motion. Nevertheless, its practical adoption in clinical use is not straightforward due to the high computational cost for solving eigendecompositions. Here, we provide a pedagogical description of how a real-time computing framework...
To foster innovative uses of micro-ultrasound in biomedicine, it is beneficial to develop flexible research-purpose systems that allow researchers to easily reconfigure its system-level operations such as transmit firing sequence and receive processing. In this paper, we present the development of a programmable micro-ultrasound research platform that is capable of realizing various micro-imaging...
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