基于半刚性运动补偿和局部杂波滤波的非造影多普勒微血管图像重建的定性和定量评价
Non contrast Doppler Microvessel Image Reconstruction by a semi Nonrigid Motion Compensation and Localized Clutter Filtering; a Qualitative and Quantitative Evaluation
摘要：
血管网络可以提供关于肿瘤血管生成的宝贵信息。超快多普勒成像使超声能够通过对从平面波成像获得的时空数据应用组织杂波滤波方法来对微血管进行成像。然而，由于呼吸和血管脉动等各种原因，运动是微血管成像的固有部分。这样的运动的一部分是照顾通过使用时空杂波滤波。尽管如此，运动的其余部分表现为模糊或产生重影血管，应该使用另一级别的运动补偿来校正。本文提出了一种适用于超声微血管成像的运动补偿算法。我们成功地评估了该算法的性能通过仿真研究。最后，我们测试了所提出的运动补偿方法在体内数据的微血管在不同的器官，包括乳房和甲状腺。结果表明，模糊和鬼影血管的问题显着减少使用该算法。此外，我们的定量评估表明，在超快多普勒成像中的不同帧之间的图像相关性显着提高利用所提出的运动校正方法。
英文摘要：
Vascular networks can provide invaluable information about tumor angiogenesis. Ultrafast Doppler imaging enables ultrasound to image micro-vessels by applying tissue clutter filtering methods on the Spatio-temporal data obtained from plane-wave imaging. However, motion is an intrinsic part of microvasculature imaging due to various reasons e.g breathing and vessel pulsation. Part of such a motion is taken care of by using Spatio-temporal cluttering filtering. Nonetheless, the remaining part of the motion who manifests itself as blurring or generating ghost vessels should be corrected using another level of motion compensation. We proposed a robust and computationally efficient motion compensation algorithm for Ultrasound micro-vessel imaging. We successfully evaluated the performance of the algorithm by a simulation study. Finally, we tested the proposed motion compensation method on the in vivo data of microvasculature in different organs including breast and thyroid. Results show blurring and ghost vessel problems are significantly reduced using the proposed algorithm. Moreover, our quantitative assessment demonstrated that image correlation among different frames in Ultrafast Doppler imaging is significantly improved utilizing the proposed motion correction method.
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