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Frequency-domain full-waveform inversion-based musculoskeletal ultrasound computed tomography.
- Source :
-
The Journal of the Acoustical Society of America [J Acoust Soc Am] 2023 Jul 01; Vol. 154 (1), pp. 279-294. - Publication Year :
- 2023
-
Abstract
- Recently, full-waveform inversion (FWI) has become a promising tool for ultrasound computed tomography (USCT). However, as a computationally intensive technique, FWI suffers from computational burden, especially in conventional time-domain full-waveform inversion (TDFWI). On the contrary, frequency-domain full-waveform inversion (FDFWI) provides a relatively high computational efficiency as the propagation of discrete frequencies is much cheaper than full time-domain modeling. FDFWI has already been applied in soft tissue imaging, such as breast, but for the musculoskeletal model with high impedance contrast between hard and soft tissues, there is still a lack of an effective source estimation method. In this paper, a water-referenced data calibration method is proposed to address the source estimation challenge in the presence of bones, which achieves consistency between the measured and simulated data before the FDFWI procedure. To avoid the cycle-skipping local minimum effect and facilitate the algorithm convergence, a starting frequency criterion for musculoskeletal FDFWI is further proposed. The feasibility of the proposed method is demonstrated by numerical studies on retrieving the anatomies of the leg models and different musculoskeletal lesions. The study extends the advanced FDFWI method to the musculoskeletal system and provides an alternative solution for musculoskeletal USCT imaging with high computational efficiency.<br /> (© 2023 Acoustical Society of America.)
Details
- Language :
- English
- ISSN :
- 1520-8524
- Volume :
- 154
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- The Journal of the Acoustical Society of America
- Publication Type :
- Academic Journal
- Accession number :
- 37449785
- Full Text :
- https://doi.org/10.1121/10.0020151