TY - JOUR
T1 - Online 4D Ultrasound-guided robotic tracking enables 3D Ultrasound Localisation Microscopy with large tissue displacements
AU - Yan, Jipeng
AU - Tan, Qingyuan
AU - Kawara, Shusei
AU - Zhu, Jingwen
AU - Wang, Bingxue
AU - Toulemonde, Matthieu
AU - Liu, Honghai
AU - Tan, Ying
AU - Tang, Meng Xing
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2025/5/19
Y1 - 2025/5/19
N2 - 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 slow but large translation motions, up to 5 mm/s and 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.
AB - 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 slow but large translation motions, up to 5 mm/s and 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.
KW - real-time motion tracking
KW - robotic ultrasound
KW - ultrasound localisation microscopy
KW - Ultrasound super-resolution imaging
KW - UKRI
KW - EPSRC
KW - EP/X033651/1
KW - EP/V04799X/1
UR - https://www.scopus.com/pages/publications/105005842100
U2 - 10.1109/TMI.2025.3571392
DO - 10.1109/TMI.2025.3571392
M3 - Article
AN - SCOPUS:105005842100
SN - 0278-0062
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
ER -