Multicycle Temporal Compounding Sonography for Despeckling at Specified Respiratory Phases
This work presents a breath-hold-free abdominal ultrasound method for both clinical and ICU settings, addressing speckle noise and motion artifacts. Its key contribution lies in respiratory phase-guided multicycle temporal compounding - identifying motion states across cycles to fuse images for target despeckling. A synergistic framework combines detail-preserving anisotropic diffusion (for speckle removal) and guided filtering (for structure transfer), while the outputs progressively refine as acquisition proceeds. Evaluated on 31 ventilator-assisted and 66 spontaneous respiration datasets, the method achieved average $\beta =0.931$ /0.930, the speckle suppression and mean preservation index (SMPI) of 0.483/0.584, and the Pratt's figure of merit 0.842/0.827, outperforming prevalent despeckling methods in edge preservation and despeckling. With computational efficiency (~2.65s/iteration) comparable to established methods and applicability across respiration styles, it enables reliable motion-artifact-suppressed imaging without breath-holding, streamlining abdominal US workflows in critical care and routine practice.
Authors
- Juan Tu (ORCID: https://orcid.org/0000-0002-3322-1972)
- Chuhao Yin (ORCID: https://orcid.org/0000-0002-3198-8141)
- Xiasheng Guo (ORCID: https://orcid.org/0000-0003-2090-6021)
- Dong Zhang (ORCID: https://orcid.org/0000-0001-5297-8658)
- Yiyun Wu
- Fansong Dong
Institutions
- Institute of Acoustics (CN)
- Collaborative Innovation Center of Advanced Microstructures (CN)
- Nanjing University (CN)
Publication Details
- Journal
- IEEE Transactions on Medical Imaging
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1109/tmi.2025.3602633
- Primary Topic
- Ultrasound in Clinical Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China