实时追踪大位移组织，实现高帧率超分辨超声成像
Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localisation Microscopy with Large Tissue Displacements
- 结合高速超声与在线机器人探头控制，实时跟踪大位移
- 在20mm位移下仍保持85Hz成像率，目标区域多数在视野内
- 首次实现运动组织中微血管的超分辨重建，适合动态器官成像
通过定位和追踪微泡的超分辨率超声（SRUS）成像，即超声定位显微术（ULM），已在临床诊断中展现出亚衍射分辨率重建微血管和血流的巨大潜力。然而，呼吸等引起的大型组织运动给成像带来严峻挑战。现有方法通常需屏气以保证积聚精度，限制了数据采集时间和ULM图像饱和度。为提升大组织运动下的图像质量，本研究提出将高帧率超声与在线精确机器人探头控制相结合的方法。在最大位移达20 mm（为所用阵列孔径两倍）的微血管仿体上测试，该方法实现了对移动仿体的实时追踪，成像体积速率高达85 Hz，大部分目标区域保持在成像视野内。通过后处理成功重构了仿体中移动交叉通道的ULM图像，证明了在大组织运动下实现超分辨率成像的可行性。这标志着向动态器官的ULM成像迈出了重要一步。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。