Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localization Microscopy With Large Tissue Displacements

Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound localization Microscopy (ULM), has demonstrated reconstruction of microvascular structure and flow with sub-diffraction resolution, and its potential in a range of clinical applications. 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 volumetric ultrasound with online precise robotic probe control. Tested on a microvasculature phantom with slow but large translation motions, up to 5 mm/s in speed and 20 mm in distance- 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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Publication Details

Journal
IEEE Transactions on Medical Imaging
Published
2025-05-19
DOI
https://doi.org/10.1109/tmi.2025.3571392
Citations
1
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
2.01

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article

Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localization Microscopy With Large Tissue Displacements

Jipeng Yan, Bingxue Wang, Shusei Kawara, Matthieu Toulemonde et al.
1 citations
IEEE Transactions on Medical Imaging
Surgical Simulation and Training
2.01
article

Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localization Microscopy With Large Tissue Displacements

Jipeng Yan, Bingxue Wang, Shusei Kawara, Matthieu Toulemonde, Ying Tan, Honghai Liu, Jingwen Zhu, Meng-Xing Tang, Qingyuan Tan
article en
1 citations

Abstract

Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound localization Microscopy (ULM), has demonstrated reconstruction of microvascular structure and flow with sub-diffraction resolution, and its potential in a range of clinical applications. 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 volumetric ultrasound with online precise robotic probe control. Tested on a microvasculature phantom with slow but large translation motions, up to 5 mm/s in speed and 20 mm in distance- 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.

IEEE Transactions on Medical ImagingVol. 44(11)
The University of Melbourne (AU), Imperial College London (GB), University of Portsmouth (GB)
NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 16%
Surgical Simulation and Training
2.01
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