Topology‐preserving segmentation of abdominal muscle layers from ultrasound images
Our findings validate the effective segmentation of muscle layers with accurate topology in complex ultrasound images, leveraging low-rank constraints. The proposed method not only advances the field of medical imaging segmentation but also offers practical benefits for clinical anesthesia by improving the reliability of nerve block localization.
Authors
- Jian Zheng (ORCID: https://orcid.org/0000-0003-4257-331X)
- Dehui Xiang (ORCID: https://orcid.org/0000-0001-7873-9778)
- Gang Yuan (ORCID: https://orcid.org/0000-0002-4773-7347)
- Yingwei Wang (ORCID: https://orcid.org/0000-0003-1633-8834)
- Dongli Li (ORCID: https://orcid.org/0000-0001-8432-1132)
- Weiwei Cao (ORCID: https://orcid.org/0000-0002-8991-9915)
- Feiyang Liao
- Xiaoyu Yang (ORCID: https://orcid.org/0000-0003-4631-6900)
Institutions
- University of Science and Technology of China (CN)
- Fudan University (CN)
- Suzhou University of Science and Technology (CN)
- Soochow University (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1002/mp.17377
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province