A multi-task neural network for full waveform ultrasonic bone imaging
The results suggest that CEDD-Unet is a promising deep learning-based FWI method for high-resolution bone imaging, with the potential to reconstruct accurate and sharp-edged skeletal SOS models.
Authors
- Tianyu Liu (ORCID: https://orcid.org/0000-0002-2590-6082)
- Dan Li (ORCID: https://orcid.org/0000-0002-3426-3023)
- Chengcheng Liu (ORCID: https://orcid.org/0000-0001-6995-6439)
- Peiwen Li (ORCID: https://orcid.org/0000-0002-4411-0418)
- Heyu Ma
- Dean Ta
Institutions
- Fudan University (CN)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108807
- Citations
- 1
- Primary Topic
- Seismic Imaging and Inversion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- National Natural Science Foundation of China
- Fudan University
- National Key Research and Development Program of China