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A novel transcranial ultrasound imaging method with diverging wave

机译:经颅超声发散波成像的新方法

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Real time transcranial ultrasound imaging of brain can be extremely intriguing because of its numerous applications. In this study, we proposed an ultrafast transcranial ultrasound imaging technique with diverging wave (DW) transmission, which has been a promising technique to image moving objects, such as complex blood flow field and transient elastography. However, diverging waves are all unfocused waves, which makes their image quality, especially the lateral resolution and contrast, has not yet been satisfactory. Here we tried to apply the adaptive beamforming algorithms to improve both the image contrast and the lateral resolution. Simulation and phantom experiments proved that our methods can significantly improve the DW image quality. Finally, transcranial ultrasound imaging collected through temporal bone were presented and analyzed. The ultrasound frequency used in this study ranges from 2 MHz to 4 MHz, centered at 2.8 MHz. Since the wavefront was offset and distorted after passing through temporal bone, the image quality will be slightly degraded. Even then, it was demonstrated that these adaptive algorithms can significantly improve the transcranial image quality, especially the image contrast.
机译:大脑的实时经颅超声成像由于其众多的应用而非常引人入胜。在这项研究中,我们提出了一种具有发散波(DW)传输的超快速经颅超声成像技术,该技术已成为一种对运动物体成像的有前途的技术,例如复杂的血流场和瞬时弹性成像。然而,发散波都是未聚焦的波,这使得它们的图像质量,特别是横向分辨率和对比度,还不能令人满意。在这里,我们尝试应用自适应波束成形算法来提高图像对比度和横向分辨率。仿真和幻像实验证明,我们的方法可以显着提高DW图像质量。最后,提出并分析了通过颞骨收集的经颅超声成像。本研究中使用的超声频率范围为2 MHz至4 MHz,以2.8 MHz为中心。由于波前穿过颞骨后发生了偏移和扭曲,因此图像质量将略有下降。即使这样,也证明了这些自适应算法可以显着改善经颅图像质量,尤其是图像对比度。

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