在线 4D 超声引导机器人跟踪实现了大组织位移下的三维超声定位显微镜检查

Jipeng Yan, Shusei Kawara, Qingyuan Tan, Jingwen Zhu, Bingxue Wang, Matthieu Toulemonde, Honghai Liu, Ying Tan, Meng-Xing Tang
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引用次数: 0

摘要

通过定位和跟踪微气泡进行超分辨率超声(SRUS)成像,也称为超声定位显微镜(ULM),在临床诊断中以亚衍射分辨率重建微血管和血流方面已显示出巨大的潜力。然而,对组织运动较大的器官(如呼吸引起的运动)进行成像是一项巨大的挑战。现有的方法通常需要屏住呼吸以保持累积精度,这就限制了数据采集时间和超低成像饱和度。为了在组织运动较大的情况下提高图像质量,本研究引入了一种将高帧率超声与在线精确机器人探头控制相结合的方法。在平移运动达 20 毫米(是所用矩阵阵列孔径大小的两倍)的微血管模型上进行了测试,我们的方法实现了对移动模型的实时跟踪和 85 Hz 的成像容积速率,将大部分目标容积保持在成像视野内。在后处理过程中,我们成功地重建了模型中移动横通道的超分辨图像,证明了在大组织运动下进行超分辨成像的可行性。这标志着我们向大运动器官的超分辨成像迈出了重要一步。
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Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localisation Microscopy with Large Tissue Displacements
Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with sub-diffraction resolution in clinical diagnostics. However, imaging organs with large tissue movements, such as those caused by respiration, presents substantial challenges. Existing methods often require breath holding to maintain accumulation accuracy, which limits data acquisition time and ULM image saturation. To improve image quality in the presence of large tissue movements, this study introduces an approach integrating high-frame-rate ultrasound with online precise robotic probe control. Tested on a microvasculature phantom with translation motions up to 20 mm, twice the aperture size of the matrix array used, our method achieved real-time tracking of the moving phantom and imaging volume rate at 85 Hz, keeping majority of the target volume in the imaging field of view. ULM images of the moving cross channels in the phantom were successfully reconstructed in post-processing, demonstrating the feasibility of super-resolution imaging under large tissue motions. This represents a significant step towards ULM imaging of organs with large motion.
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